How To Leverage AI To Modernize B2B Go-To-Market via @sejournal, @alexanderkesler

In a post “growth-at-all-costs” era, B2B go-to-market (GTM) teams face a dual mandate: operate with greater efficiency while driving measurable business outcomes.

Many organizations see AI as the definitive means of achieving this efficiency.

The reality is that AI is no longer a speculative investment. It has emerged as a strategic enabler to unify data, align siloed teams, and adapt to complex buyer behaviors in real time.

According to an SAP study, 48% of executives use generative AI tools daily, while 15% use AI multiple times per day.

The opportunity for modern Go-to-Market (GTM) leaders is not just to accelerate legacy tactics with AI, but to reimagine the architecture of their GTM strategy altogether.

This shift represents an inflection point. AI has the potential to power seamless and adaptive GTM systems: measurable, scalable, and deeply aligned with buyer needs.

In this article, I will share a practical framework to modernize B2B GTM using AI, from aligning internal teams and architecting modular workflows to measuring what truly drives revenue.

The Role Of AI In Modern GTM Strategies

For GTM leaders and practitioners, AI represents an opportunity to achieve efficiency without compromising performance.

Many organizations leverage new technology to automate repetitive, time-intensive tasks, such as prospect scoring and routing, sales forecasting, content personalization, and account prioritization.

But its true impact lies in transforming how GTM systems operate: consolidating data, coordinating actions, extracting insights, and enabling intelligent engagement across every stage of the buyer’s journey.

Where previous technologies offered automation, AI introduces sophisticated real-time orchestration.

Rather than layering AI onto existing workflows, AI can be used to enable previously unscalable capabilities such as:

  • Surfacing and aligning intent signals from disconnected platforms.
  • Predicting buyer stage and engagement timing.
  • Providing full pipeline visibility across sales, marketing, client success, and operations.
  • Standardizing inputs across teams and systems.
  • Enabling cross-functional collaboration in real time.
  • Forecasting potential revenue from campaigns.

With AI-powered data orchestration, GTM teams can align on what matters, act faster, and deliver more revenue with fewer resources.

AI is not merely an efficiency lever. It is a path to capabilities that were previously out of reach.

Framework: Building An AI-Native GTM Engine

Creating a modern GTM engine powered by AI demands a re-architecture of how teams align, how data is managed, and how decisions are executed at every level.

Below is a five-part framework that explains how to centralize data, build modular workflows, and train your model:

1. Develop Centralized, Clean Data

AI performance is only as strong as the data it receives. Yet, in many organizations, data lives in disconnected silos.

Centralizing structured, validated, and accessible data across all departments at your organization is foundational.

AI needs clean, labeled, and timely inputs to make precise micro-decisions. These decisions, when chained together, power reliable macro-actions such as intelligent routing, content sequencing, and revenue forecasting.

In short, better data enables smarter orchestration and more consistent outcomes.

Luckily, AI can be used to break down these silos across marketing, sales, client success, and operations by leveraging a customer data platform (CDP), which integrates data from your customer relationship management (CRM), marketing automation (MAP), and customer success (CS) platforms.

The steps are as follows:

  • Appoint a data steward who owns data hygiene and access policies.
  • Select a CDP that pulls records from your CRM, MAP, and other tools with client data.
  • Configure deduplication and enrichment routines, and tag fields consistently.
  • Establish a shared, organization-wide dashboard so every team works from the same definitions.

Recommended starting point: Schedule a workshop with operations, analytics, and IT to map current data sources and choose one system of record for account identifiers.

2. Build An AI-Native Operating Model

Instead of layering AI onto legacy systems, organizations will be better suited to architect their GTM strategies from the ground up to be AI-native.

This requires designing adaptive workflows that rely on machine input and positioning AI as the operating core, not just a support layer.

AI can deliver the most value when it unifies previously fragmented processes.

Rather than simply accelerating isolated tasks like prospect scoring or email generation, AI should orchestrate entire GTM motions, seamlessly adapting messaging, channels, and timing based on buyer intent and journey stage.

Achieving this transformation demands new roles within the GTM organization, such as AI strategists, workflow architects, and data stewards.

In other words, experts focused on building and maintaining intelligent systems rather than executing manual processes.

AI-enabled GTM is not about automation alone; it’s about synchronization, intelligence, and scalability at every touchpoint.

Once you have committed to building an AI-native GTM model, the next step is to implement it through modular, data-driven workflows.

Recommended starting point: Assemble a cross-functional strike team and map one buyer journey end-to-end, highlighting every manual hand-off that could be streamlined by AI.

3. Break Down GTM Into Modular AI Workflows

A major reason AI initiatives fail is when organizations do too much at once. This is why large, monolithic projects often stall.

Success comes from deconstructing large GTM tasks into a series of focused, modular AI workflows.

Each workflow should perform a specific, deterministic task, such as:

  • Assessing prospect quality on certain clear, predefined inputs.
  • Prioritizing outreach.
  • Forecasting revenue contribution.

If we take the first workflow, which assesses prospect quality, this would entail integrating or implementing a lead scoring AI tool with your model and then feeding in data such as website activity, engagement, and CRM data. You can then instruct your model to automatically route top-scoring prospects to sales representatives, for example.

Similarly, for your forecasting workflow, connect forecasting tools to your model and train it on historical win/loss data, pipeline stages, and buyer activity logs.

To sum up:

  • Integrate only the data required.
  • Define clear success criteria.
  • Establish a feedback loop that compares model output with real outcomes.
  • Once the first workflow proves reliable, replicate the pattern for additional use cases.

When AI is trained on historical data with clearly defined criteria, its decisions become predictable, explainable, and scalable.

Recommended starting point: Draft a simple flow diagram with seven or fewer steps, identify one automation platform to orchestrate them, and assign service-level targets for speed and accuracy.

4. Continuously Test And Train AI Models

An AI-powered GTM engine is not static. It must be monitored, tested, and retrained continuously.

As markets, products, and buyer behaviors shift, these changing realities affect the accuracy and efficiency of your model.

Plus, according to OpenAI itself, one of the latest iterations of its large language model (LLM) can hallucinate up to 48% of the time, emphasizing the importance of embedding rigorous validation processes, first-party data inputs, and ongoing human oversight to safeguard decision-making and maintain trust in predictive outputs.

Maintaining AI model efficiency requires three steps:

  1. Set clear validation checkpoints and build feedback loops that surface errors or inefficiencies.
  2. Establish thresholds for when AI should hand off to human teams and ensure that every automated decision is verified. Ongoing iteration is key to performance and trust.
  3. Set a regular cadence for evaluation. At a minimum, conduct performance audits monthly and retrain models quarterly based on new data or shifting GTM priorities.

During these maintenance cycles, use the following criteria to test the AI model:

  • Ensure accuracy: Regularly validate AI outputs against real-world outcomes to confirm predictions are reliable.
  • Maintain relevance: Continuously update models with fresh data to reflect changes in buyer behavior, market trends, and messaging strategies
  • Optimize for efficiency: Monitor key performance indicators (KPIs) like time-to-action, conversion rates, and resource utilization to ensure AI is driving measurable gains.
  • Prioritize explainability: Choose models and workflows that offer transparent decision logic so GTM teams can interpret results, trust outputs, and make manual adjustments as needed.

By combining cadence, accountability, and testing rigor, you create an AI engine for GTM that not only scales but improves continuously.

Recommended starting point: Put a recurring calendar invite on the books titled “AI Model Health Review” and attach an agenda covering validation metrics and required updates.

5. Focus On Outcomes, Not Features

Success is not defined by AI adoption, but by outcomes.

Benchmark AI performance against real business metrics such as:

  • Pipeline velocity.
  • Conversion rates.
  • Client acquisition cost (CAC).
  • Marketing-influenced revenue.

Focus on use cases that unlock new insights, streamline decision-making, or drive action that was previously impossible.

When a workflow stops improving its target metric, refine or retire it.

Recommended starting point: Demonstrate value to stakeholders in the AI model by exhibiting its impact on pipeline opportunity or revenue generation.

Common Pitfalls To Avoid

1. Over-Reliance On Vanity Metrics

Too often, GTM teams focus AI efforts on optimizing for surface-level KPIs, like marketing qualified lead (MQL) volume or click-through rates, without tying them to revenue outcomes.

AI that increases prospect quantity without improving prospect quality only accelerates inefficiency.

The true test of value is pipeline contribution: Is AI helping to identify, engage, and convert buying groups that close and drive revenue? If not, it is time to rethink how you measure its efficiency.

2. Treating AI As A Tool, Not A Transformation

Many teams introduce AI as a plug-in to existing workflows rather than as a catalyst for reinventing them. This results in fragmented implementations that underdeliver and confuse stakeholders.

AI is not just another tool in the tech stack or a silver bullet. It is a strategic enabler that requires changes in roles, processes, and even how success is defined.

Organizations that treat AI as a transformation initiative will gain exponential advantages over those who treat it as a checkbox.

A recommended approach for testing workflows is to build a lightweight AI system with APIs to connect fragmented systems without needing complicated development.

3. Ignoring Internal Alignment

AI cannot solve misalignment; it amplifies it.

When sales, marketing, and operations are not working from the same data, definitions, or goals, AI will surface inconsistencies rather than fix them.

A successful AI-driven GTM engine depends on tight internal alignment. This includes unified data sources, shared KPIs, and collaborative workflows.

Without this foundation, AI can easily become another point of friction rather than a force multiplier.

A Framework For The C-Level

AI is redefining what high-performance GTM leadership looks like.

For C-level executives, the mandate is clear: Lead with a vision that embraces transformation, executes with precision, and measures what drives value.

Below is a framework grounded in the core pillars modern GTM leaders must uphold:

Vision: Shift From Transactional Tactics To Value-Centric Growth

The future of GTM belongs to those who see beyond prospect quotas and focus on building lasting value across the entire buyer journey.

When narratives resonate with how decisions are really made (complex, collaborative, and cautious), they unlock deeper engagement.

GTM teams thrive when positioned as strategic allies. The power of AI lies not in volume, but in relevance: enhancing personalization, strengthening trust, and earning buyer attention.

This is a moment to lean into meaningful progress, not just for pipeline, but for the people behind every buying decision.

Execution: Invest In Buyer Intelligence, Not Just Outreach Volume

AI makes it easier than ever to scale outreach, but quantity alone no longer wins.

Today’s B2B buyers are defensive, independent, and value-driven.

Leadership teams that prioritize technology and strategic market imperative will enable their organizations to better understand buying signals, account context, and journey stage.

This intelligence-driven execution ensures resources are spent on the right accounts, at the right time, with the right message.

Measurement: Focus On Impact Metrics

Surface-level metrics no longer tell the full story.

Modern GTM demands a deeper, outcome-based lens – one that tracks what truly moves the business, such as pipeline velocity, deal conversion, CAC efficiency, and the impact of marketing across the entire revenue journey.

But the real promise of AI is meaningful connection. When early intent signals are tied to late-stage outcomes, GTM leaders gain the clarity to steer strategy with precision.

Executive dashboards should reflect the full funnel because that is where real growth and real accountability live.

Enablement: Equip Teams With Tools, Training, And Clarity

Transformation does not succeed without people. Leaders must ensure their teams are not only equipped with AI-powered tools but also trained to use them effectively.

Equally important is clarity around strategy, data definitions, and success criteria.

AI will not replace talent, but it will dramatically increase the gap between enabled teams and everyone else.

Key Takeaways

  • Redefine success metrics: Move beyond vanity KPIs like MQLs and focus on impact metrics: pipeline velocity, deal conversion, and CAC efficiency.
  • Build AI-native workflows: Treat AI as a foundational layer in your GTM architecture, not a bolt-on feature to existing processes.
  • Align around the buyer: Use AI to unify siloed data and teams, delivering synchronized, context-rich engagement throughout the buyer journey.
  • Lead with purposeful change: C-level executives must shift from transactional growth to value-led transformation by investing in buyer intelligence, team enablement, and outcome-driven execution.

More Resources:


Featured Image: BestForBest/Shutterstock

Why CMOs Should Rethink ROAS As A North Star Metric via @sejournal, @brookeosmundson

If you lead a marketing team, chances are you’ve had this conversation:

“How are the campaigns doing?”

“Well, our ROAS is 4:1.”

The room breathes a collective sigh of relief. The good news: the marketing budget is justified (for the time being).

But here’s the problem: that number might not actually tell you anything useful.

Return on ad spend (ROAS) has long been the go-to metric for measuring paid media performance. It’s clean. It’s easy to calculate.

And let’s be honest: It looks great in a boardroom slide deck. But, that simplicity can be deceiving.

When CMOs use ROAS as the end-all be-all, it can create a warped view of what’s actually driving meaningful growth.

It often rewards short-term wins, punishes necessary investment periods, and misaligns internal and agency teams chasing vanity benchmarks instead of business results.

This article isn’t a hit piece on ROAS. It’s a reality check on meaningful key performance indicators (KPIs). ROAS can be useful, but it’s not your North Star.

And if you’re serious about long-term revenue growth, customer lifetime value, and competitive market share, it’s time to rethink what success really looks like.

Why ROAS Isn’t Always What It Seems

On paper, ROAS is straightforward: revenue divided by ad spend. Spend $10,000 and generate $40,000 in sales, and you’ve got a 4:1 ROAS.

But, under the hood, it’s not so simple.

Here are a few reasons why ROAS can often mislead:

  • It favors existing customers. Your branded campaigns and remarketing lists usually show sky-high ROAS, but they’re mostly capturing people already in your funnel. That’s not growth; it’s in maintenance mode.
  • It ignores profit margins. A $40 cost-per-acquisition (CPA) might look great in one product line and catastrophic in another. ROAS doesn’t account for your cost of goods, fulfillment, or operational costs.
  • It limits (actual) growth. If your only goal is to “hit ROAS,” you’ll throttle spend on upper-funnel or exploratory campaigns that could fuel future revenue.
  • It can be gamed. Agencies and internal teams might optimize for ROAS simply because that’s the KPI they’re judged on, even if it means saying no to high-potential but lower-efficiency campaigns.

And perhaps most importantly, ROAS often ignores timing.

You might lose money on day 1, break even by day 14, and profit significantly by day 90. But ROAS, by default, only tells you what happened in the reporting window you chose.

That’s not a North Star. That’s a snapshot in time.

ROAS Is Still Useful, If You Know When & How To Use It

Let’s be clear: ROAS isn’t bad to report on. It just needs additional context.

There are plenty of scenarios where ROAS is helpful:

  • Comparing performance between campaigns, channels, and platforms.
  • Evaluating high-volume SKU efficiency in ecommerce.
  • Reporting on short-term promotional campaigns.
  • Reviewing the efficiency of remarketing or loyalty campaigns.

The key is to treat ROAS like a diagnostic tool, not a destination. It’s one piece of the story, not the whole narrative.

When CMOs and marketing leaders make ROAS the only metric that matters, they end up over-indexing on campaigns that drive immediate revenue, often at the cost of sustainable growth.

What Should Be Your North Star Metric?

If it’s not ROAS, then what should it be?

The truth is, your North Star depends on your business model and goals. Here are a few KPI candidates that typically give a better long-term signal of paid media health.

1. Customer Lifetime Value (CLV) To CAC Ratio

This is arguably the best lens through which to evaluate your investment. If you’re acquiring customers who buy once and never return, you’ll never scale profitably.

Tracking your customer acquisition cost (CAC) against lifetime value forces you to think beyond the first purchase.

Why does this ratio matter?

CLV:CAC shows whether you’re building a sustainable business model. A healthy ratio is often around 3:1 or better, depending on your margins.

An example of how to use this metric is to look at campaign-level CAC and model projected CLV by channel or audience.

If you’re seeing CLV gains over time from specific campaigns, that’s a strong sign of durable growth.

2. Incremental Revenue

Not all revenue is created equal. Incrementality helps you understand what your paid media efforts are truly adding, not just capturing right now.

Why does this metric matter?

Paid campaigns often get credit for conversions that might have happened anyway. Branded search is a classic example. Measuring incrementality filters out that noise.

Some examples of how to use this metric include:

  • Set up geo-holdout tests.
  • Use audience exclusions.
  • Google and Meta’s Incrementality Testing tools.

Incrementality is not always easy to measure, but it brings clarity to where your dollars are actually making a difference.

3. Payback Period

This metric measures how long it takes for a campaign or customer to break even.

Why does this metric matter as a potential North Star?

Not every investment has to pay off instantly. But, leadership should be aligned on how long you’re willing to wait before seeing a return on investment (ROI). That transparency allows you to fund top-of-funnel efforts with more confidence.

To use this metric in practice, try tagging customer cohorts by acquisition source or campaign. Then, track how long it takes to recoup their acquisition cost through future purchases or subscription value.

4. New Customer Revenue Growth

Instead of optimizing for cheapest clicks or best ROAS, try optimizing for the growth of your new customer base.

Why does this metric matter?

It keeps your marketing focused on expanding market share, not just retargeting people who are already in your orbit.

To use this metric, start segmenting campaigns by new and returning users. You can use customer relationship management (CRM) or post-purchase tagging to see how many new users are coming in from each campaign.

The Real Problem: Misalignment Between Leadership And Execution

One of the most common breakdowns in paid media performance isn’t technical misalignment. It’s organizational misalignment.

CMOs often set ROAS goals because they’re easy to track and easy to report. But, if those goals aren’t communicated with nuance to the teams or agencies executing the campaigns, the output becomes distorted.

Here’s how this usually plays out:

  • A marketing leader tells the agency or in-house team they need a 5:1 ROAS to justify the budget.
  • The team optimizes for what’s most efficient: branded search, bottom-of-funnel retargeting, and low-risk campaigns.
  • Top-of-funnel campaigns get throttled, experimental audiences never see the light of day, and new customer growth stalls.
  • Eventually, performance plateaus. And leadership is left wondering why they’re not seeing growth, despite “great” ROAS.

This is why setting the right KPIs, and clearly communicating their intent, is not optional. It’s essential to have each team, from ideation to execution, on the same page towards the right goals.

Rethinking Your KPI Framework: What Does “Good” Look Like?

Once you move away from ROAS as your main performance indicator, the natural next question is: What do we track instead?

It’s not about throwing out the metrics you’ve used for years. You need to put them in the right order and context.

A well-thought-out KPI framework helps everyone, from your C-suite to your campaign managers, stay aligned on what you’re optimizing for and why.

Think Of KPIs As Layers, Not Silos

Not all metrics serve the same purpose. Some help guide day-to-day decisions. Others reflect long-term strategic impact. The problem starts when we treat every metric as equally important or try to roll them into one number.

ROAS might help optimize a remarketing campaign. But it tells you very little about whether your brand is growing, reaching new audiences, or acquiring customers that actually stick.

That’s why the best KPI frameworks break metrics out into three categories:

1. Short-Term KPIs: Optimization & Efficiency

These are the metrics your media buyers use every day to adjust bids, pause underperformers, and keep spend in check.

They’re meant to be directional, not definitive.

Examples include:

  • ROAS (by campaign or platform).
  • Cost per acquisition (CPA).
  • Click-through rate (CTR).
  • Conversion rate.
  • Impression share.

These KPIs are most useful for weekly or even daily reporting. But, they should never be the only numbers presented in a quarterly business review. They help you stay efficient, but they don’t reflect bigger outcomes.

If these metrics are the only thing being reported or discussed, your team may fall into a cycle of only optimizing what’s already working. This leads to missing opportunities to test, expand, or learn.

2. Mid-Term KPIs: Growth Momentum

These metrics show whether your marketing is actually building toward something. They’re tied to broader business goals but can still be influenced in the current quarter or campaign cycle.

Examples include:

  • Payback period (days to recoup CAC).
  • New customer revenue.
  • Net-new customer acquisition.
  • Micro conversions (demo requests, app installs, newsletter signups, etc.).

Mid-term KPIs are great for monthly reviews and identifying how top- or mid-funnel investments are performing. They help you evaluate whether you’re fueling growth beyond existing audiences.

Mid-term metrics can sometimes get ignored because they’re harder to track or take longer to show impact. Don’t let imperfect data stop you from establishing benchmarks and looking at trends over time.

3. Long-Term KPIs: Strategic Business Health

This is where your true North Star lives.

These KPIs take longer to measure but reflect the outcomes that matter most: customer loyalty, sustainable revenue, and profitability.

Examples include:

  • Customer lifetime value (CLV).
  • CLV to CAC ratio.
  • Churn or retention rate.
  • Repeat purchase rate.
  • Gross margin by channel.

Use these metrics to evaluate the success of your marketing investments across quarters or even years. They should influence annual planning and resource allocation.

These metrics are often siloed inside CRM or finance teams. Make sure your paid media or acquisition teams have access and visibility so they can understand their long-term impact.

A KPI Framework Doesn’t Work Without Context

Even with the right metrics in place, your team won’t succeed unless they understand how to prioritize them and what success looks like.

For example, if your team knows ROAS is important, but also understands it’s not the deciding factor for scaling budget, they’re more likely to take healthy risks and test growth-oriented campaigns.

On the other hand, if they’re unsure which KPI matters most, they’ll default to optimizing what they can control, often at the expense of progress.

You don’t need a perfect attribution model to start here. You just need a shared understanding across your team and partners.

When everyone knows which KPIs matter most at each stage of the funnel, it becomes much easier to align strategy, set goals, and evaluate performance with nuance.

What CMOs Can Do Differently Starting Tomorrow

Changing how your organization approaches paid media measurement doesn’t require a complete overhaul.

But, it does take intentional conversations and a willingness to zoom out from the usual dashboard metrics.

Here are six steps you can take to shift your team (or agency) toward a more aligned and strategic direction.

1. Audit What You’re Optimizing For

Start with a gut-check: what are your internal teams or agencies truly prioritizing day to day?

Ask them to show you not just results, but the actual goals entered in-platform. Are they optimizing for purchases, leads, or something vague like clicks? Are they using ROAS targets in Smart Bidding or manually prioritizing it in their reporting?

You might be surprised how often the tactical goals don’t match the business strategy. A quick audit of campaign objectives and KPIs can uncover a lot about where misalignment begins.

If your goal is to grow market share, but your team is focused on protecting branded search ROAS, that’s a disconnect worth addressing.

2. Reset Internal Expectations

This step often gets overlooked, but it’s a big one. CFOs tend to like ROAS because it looks like a clean efficiency ratio: spend in, revenue out.

But, they don’t always see the nuance of long sales cycles, customer value over time, or the lag between impression and conversion.

Take time to walk your finance partners through your updated KPI framework. Show them examples of campaigns that had a low short-term ROAS but brought in high-value, repeat customers over time.

When leadership understands how marketing performance compounds, they’re less likely to cut budgets based on a one-week dip in return.

This is especially helpful if you’re advocating for top-of-funnel investments that take longer to pay off.

3. Educate Your Team Or Agency

Once you’ve reset internal expectations, don’t forget to bring your team or agency into the loop.

It’s not enough to just say, “We’re no longer using ROAS as our North Star.” You have to explain what you’re prioritizing instead, and why.

That might sound like:

  • “We’re shifting to focus on acquiring net-new customers and reducing payback period.”
  • “This quarter, we’re okay with lower ROAS on prospecting campaigns if we’re growing CLV in the right audience segments.”
  • “Let’s break out CLV:CAC reporting by campaign group so we can identify what’s really delivering long-term value.”

When you frame KPIs as tools to hit bigger business goals, your team can make smarter decisions without fear of getting penalized for not hitting an arbitrary ROAS number.

4. Separate Performance Expectations By Funnel Stage

A common mistake is holding every campaign to the same performance goal.

But the truth is, a prospecting campaign will never look as efficient as a remarketing one, and that’s fine.

Give your team or agency space to evaluate performance based on where in the funnel the campaign sits. Set realistic benchmarks for awareness, engagement, or assisted conversions, and evaluate them alongside lower-funnel ROAS or CPA.

Not only does this help you spend more confidently across the full funnel, but it also encourages the kind of creative testing that often gets squeezed out when efficiency metrics dominate.

5. Invest In Stronger Data Modeling

You don’t need to have a perfect attribution system in place to start moving beyond ROAS. You do need to improve your visibility into how customers behave over time.

Work with your team to build even a basic model of customer payback and CLV across channels.

Use what you already have: Google Analytics 4, CRM exports, or even Shopify data to start segmenting users by acquisition source and repeat value.

Over time, this will help you answer key questions like:

  • Which campaigns actually bring in our best long-term customers?
  • What’s our average time to first, second, and third purchase?
  • Are we over-investing in short-term wins at the expense of lifetime value?

Even directional insights can shape much better budgeting and strategy decisions over time.

6. Lead By Example In How You Talk About Performance

As a marketing leader, the way you talk about performance will set the tone for your entire team.

If you ask, “What’s our ROAS this week?” in every meeting, your team will naturally default to chasing it, regardless of whether it reflects progress toward the bigger picture.

Instead, consider asking:

  • “Are we growing our base of high-value customers?”
  • “What are we seeing with new user acquisition?”
  • “Which campaigns have the strongest long-term value, even if short-term ROAS is lower?”

These types of questions signal that you’re interested in more than just this week’s dashboard metrics.

They give your team permission to think bigger, experiment, and optimize for actual business growth.

Stop Letting ROAS Be The Only Metric That Matters

It makes sense why ROAS gets so much attention. It’s familiar, easy to explain, and shows up nicely on a dashboard. But, when it becomes the only thing your team is aiming for, you risk missing the bigger picture.

If your real goals are growth, better margins, and stronger customer relationships, then you need to look at more than just the numbers that look good in a report.

Start by defining the KPIs that support the way your business actually operates, and make sure your team understands why those metrics matter.

This isn’t about ignoring ROAS. It’s about putting it in its proper place, which is just one part of a much larger story.

More Resources:


Featured Image: SvetaZi/Shutterstock

Demand Gen Vs. Lead Gen: What Every CMO Needs To Know via @sejournal, @brookeosmundson

In boardrooms and Slack threads alike, “demand generation” and “lead generation” are often used interchangeably, sometimes even by marketers themselves.

But for CMOs making six- and seven-figure budget decisions, lumping the two together is a costly mistake.

On the surface, both strategies aim to generate revenue. But the approach, intent, and impact of each are fundamentally different.

Understanding these differences isn’t just marketing semantics. It’s a strategic imperative.

Whether you’re scaling a SaaS company, leading an enterprise rebrand, or trying to make sense of declining pipeline velocity, the way you approach demand and lead gen can either fuel long-term growth or lock you into a hamster wheel of short-term wins.

Let’s unpack what each of these approaches actually looks like, where they work best, and how to decide which path (or combination of them) is right for your team.

What Demand Generation Really Means

Demand generation isn’t just a top-of-funnel tactic. It’s a full-funnel strategy designed to create awareness, spark interest, and ultimately build desire for your solution, oftentimes before the buyer even knows they need it.

It prioritizes visibility, trust, and education over form-fills and gated assets.

So, what isn’t demand generation?

Demand gen isn’t about chasing contact details.

It’s about shaping buying decisions before the buyer ever enters a sales process.

This strategy leans heavily on value-driven content, community building, media exposure, and delivering information that builds brand affinity over time.

Examples of some commonly used demand generation tactics include:

  • Publishing ungated thought leadership content on LinkedIn.
  • Creating category awareness through podcasts and video series.
  • Investing in brand advertising or influencer partnerships.
  • Running product demos on YouTube or TikTok with no call-to-action (CTA).

In demand generation, you’re not asking for the sale. You’re creating an environment where the sale becomes inevitable.

What Lead Generation Actually Delivers

Lead generation is all about conversions, and not in the philosophical sense.

It’s measurable, trackable, and often deeply tied to sales-qualified metrics. You offer something (a whitepaper, webinar, trial) in exchange for something (a name, email, job title).

The focus here is less on brand building and more on pipeline development. It’s tactical, efficient, and often short-term.

That doesn’t make it “bad,” but it does mean you’ll need a strong nurturing process and sales alignment to make it effective.

Common lead generation tactics include:

  • Gated content downloads (ebooks, whitepapers, checklists).
  • Paid search with conversion-focused landing pages.
  • Webinar registrations.
  • Cold outreach from purchased lists.

Opposite of demand gen tactics, lead gen tactics are a bit easier to measure. They’re also easier to misuse.

If you’re not aligning on what constitutes a “qualified lead,” you might end up with a pile of marketing qualified leads (MQLs) that sales ignores.

Key Differences Between Them That Actually Matter

While the two approaches might feel similar in campaign execution, the intent and measurement couldn’t be more different.

Element Demand Generation Lead Generation
Primary Goal Build interest & educate the market Capture contact info for nurturing & sales
Buyer Stage Early to mid-funnel Mid to late-funnel
KPIs Brand engagement, direct traffic, pipeline contribution Form fills, cost-per-lead (CPL), MQL to SQL conversion
Channel Mix Social content, podcast, YouTube, native ads Paid search, lead forms, email, retargeting
Attribution Window Long-Term (30+ days) Short-term (<30 days>

If you’re measuring demand gen with the same key performance indicators (KPIs) as lead gen, you’re setting yourself up for disappointment.

These strategies operate on different timelines and serve different roles in the buyer journey.

The Cost Of Getting It Wrong

Let’s say you’re in the B2B SaaS space, and your board wants more pipeline, fast. So, you crank up spend on paid search and run gated ebook campaigns.

You get thousands of leads … and sales team closes almost none of them.

Why?

Because those leads weren’t ready to buy. They downloaded an asset, not because they were in-market, but because they were curious. That’s not a sales-qualified lead; it’s a reader.

On the flip side, if you only focus on brand and never collect contact info or move people into a nurture stream, your pipeline may dry up altogether.

Misalignment here causes poor return on investment (ROI), frustrated sales teams, and confusion at the executive level.

And CMOs? You’re the one who gets held accountable.

Signs You Need To Shift Toward Demand Gen

If you’re stuck in the “more leads, less revenue” loop, demand gen might be the missing piece.

Watch for these tell-tale signs:

  • Sales team is constantly complaining about low-quality leads.
  • Your brand has low share of voice in your category.
  • You’re over-reliant on bottom-of-funnel paid channels.
  • Organic pipeline growth is stagnating.
  • You’re optimizing cost-per-lead (CPL) while customer acquisition cost (CAC) keeps rising.

In these cases, shifting some of your focus (and budget) toward demand gen can help you break the cycle.

It doesn’t mean you stop generating leads. It means you start warming the market, so the leads that come through are higher intent and closer to revenue.

When Lead Generation Still Makes Sense

Lead gen isn’t dead. It just needs context.

For mature markets or lower-cost products with short sales cycles, lead gen can still be incredibly efficient.

It’s also useful when:

  • You have strong sales enablement and fast lead response times.
  • Your brand is already well-known and trusted.
  • You have clear, relevant offers with direct value.
  • You’re testing new messaging or audiences with measurable KPIs.

If your team excels at lead nurturing and you’re using lead gen to support (not substitute) long-term demand creation, it can drive fast, measurable results.

Just don’t treat it as a long-term growth strategy in isolation.

Why You Shouldn’t Just Pick One

This isn’t a zero-sum game. The smartest CMOs know how to balance both.

Think of demand gen as fueling interest, and lead gen as capturing it. The two should work in tandem.

Start with demand creation: educate, build trust, and generate awareness in the market. Then, as interest builds, use lead gen strategies to convert that attention into a measurable pipeline.

If you’re only doing one, you’re either leaving money on the table or burning through it too fast.

Rethinking KPIs And Attribution

Here’s where many CMOs get tripped up: trying to measure demand generation with lead generation metrics.

Demand generation is more about contribution to the pipeline, not generating immediate conversions.

For demand gen metrics, you’ll want to take a look at:

  • Direct traffic increases.
  • Organic branded search volume.
  • Sales velocity from known accounts.
  • CRM-sourced opportunities influenced by top-of-funnel touchpoints.

Meanwhile, lead gen metrics like CPL and MQL-to-SQL rates are better used in a supplementary way, not as the only measure of success.

And let’s be honest: Attribution will never be perfect. As CMOs, don’t expect your marketing teams to attribute each effort with 100% accuracy. You’d be setting them, and yourself, up for failure in the long run.

Buyers today might see a LinkedIn post, hear a podcast, and Google your brand three weeks later. That journey doesn’t show up in a neat linear model.

So, rather than obsessing over pixel-perfect attribution, focus on momentum. Is pipeline velocity improving? Is your CAC going down over time? Are more of the right buyers coming inbound?

Those are the real signals you should be looking for to understand if your demand gen and lead gen efforts are working.

What CMOs Should Do Next

This isn’t about choosing sides on which strategy to focus on. It’s about choosing alignment on how the two will operate together.

If you’re stuck on which to prioritize, ask yourself the following questions:

  • Are we educating the market, or just capturing the existing intent?
  • Is our sales team enabled to follow up on the leads that we’re generating?
  • Do we have the patience (and buy-in) to invest in both brand and content?
  • Are we tracking the right metrics for our business, or just the easy ones?

Start there. Then, audit your current marketing mix.

You might find that 80% of your spend is on lead generation efforts, but 80% of your growth comes from demand generation channels.

Chasing short-term tactics only squeezes out who’s currently in your marketing funnel.

You need to build a system that creates both interest and intent.

Smart Growth Doesn’t Follow A Form Fill

The most effective marketing strategies don’t live behind a gate. They live in conversations, videos, buyer communities, and the minds of decision-makers before they ever hit your website.

That’s what demand gen does best: It plants the seed between prospective customers and your brand.

Lead gen has its role, but without demand gen, it’s like harvesting from a field you never watered.

For today’s CMOs, the real challenge isn’t picking one over the other. It’s learning how to weave them together into a strategy that works for your audience, your sales team, and your business goals.

Because real growth rarely starts with a form fill, but it can end with one.

More Resources:


Featured Image: ra2 studio/Shutterstock

How to Build a Brand That Truly Connects

If your brand doesn’t resonate on a deep level with your target audience, then pouring time and energy into aesthetics and clever messaging is a waste of resources.

Real brand power is based on your brand’s identity: knowing who you are as a company, and how your ideal customer experiences life in relation to your offering.

Search Engine Journal’s Editor-in-Chief Katie Morton sits down with Mordy Oberstein, founder of Unify Brand Marketing, to go deeper on how to build a brand with a solid foundation.

Watch the video or read the full transcript below.

Start With Brand Identity

Katie Morton: Hello, everybody. It is I, Katie Morton, Editor-in-Chief of Search Engine Journal, and I’m here today with Mordy Oberstein, who is the founder of Unify Brand Marketing.

So, Mordy, what are we going to talk about today?

Mordy Oberstein: Hi there, everybody. Last time we spoke about what brand marketing is fundamentally and how to approach it. Today, I’m gonna talk about how to actually develop a brand and run through that process.

We’re gonna try to be jargon-free about what brand development actually looks like and what the stages are, and how they should all flow one into the other.

Katie: That sounds great. OK, so what’s the first concept?

Brand Therapy: Don’t Fear a Niche

Mordy: OK, this is where I think brands get really messed up. If you feel like you’ve lost traction, like you don’t have direction or you’re all over the place – whatever it is – most problems come down to this issue, which is… (I’m not going to say the jargon word) but it comes down to: Who are you?

And this is where you’re doing therapy for your brand. You’re trying to figure out who you are in a real, deep way. Kind of what we talked about last time – about building some meaning for yourself. You need to think about: Who are you? Where do you want to be? How do you want to be seen? How are you seen? How do you want to be seen going forward?

This is the part where it gets a little bit scary. I’m going to ask you: What scares you? Because this is where brands kind of feel like, “Maybe we’re going to pigeonhole ourselves.” But you’re not.

I’m not going to use the identity word – wait, I said identity – used jargon. Darn it!

This is where you kind of feel like maybe we’re going to pigeonhole ourselves if we have too much of a pigeonhole kind of audience. Don’t. It’s scary, but you have to do it.

This is where brands get off the rails. You have to understand who you are in a real way, because who you are rolls right into who you’re for.

Know Your Core Audience

Mordy: If I was dating my wife back in the day and my wife didn’t like sports at all, I’d be like, “Oh, my wife’s not for me. I’m a sports nut,” which is not true. That’s not how dating actually works.

Knowing who you are rolls right into: Who are you for?

Once you know who you are, the next step is: Who’s actually interested in you? Who’s your core audience? And this is a direct outcome of who you are, which is why it’s important.

The next stage in brand development – once you know who you are and who you’re for (that doesn’t mean you have to be only for them, but they’re your core) – is what problems does that audience have?

And by problems, I don’t mean USPs (which I know is a jargon word, but I’m going to use it so we know what we’re talking about). I’m not talking about pain points.

I’m talking about: What’s going on in their lives as it generally relates to your product or service?

Let me give you an example: Minivans. Why do I always use minivans? If I was making minivans, I would want to know: What’s the context? What’s the life situation of the parent or guardian driving and schlepping these kids around? What’s happening in their lives around the product?

It’s not a pain point. It’s not a USP. It’s what’s happening in the life of your audience, as it relates to generally speaking about the product/service, whatever you do.

Now that you know that, the next step in brand development is: How do you fit those needs?

This is where your “USP stuff” kind of comes in. And by the way, everything here should align from who you are to your audience, to what their problems are, to how do you fit those needs (because you know who you are now, obviously)?

Build From The Ground Up, Messaging Comes Last

Mordy: Because of who you are, how do you now solve those problems that your audience or people or consumers are dealing with in their lives? Now, once you know that, stage five would be, how do you actually communicate that? Or rather, what’s important about that to communicate?

We now know who we are. We now know who we’re for. We now know what the problems and the life situation is of the people we’re for. And we know how we solve and deal with those situations with who we are as a product, as a service, as an offering.

What’s important to tell the audience about who we are and how we solve their problems?

Don’t try to refine it here. Don’t try to have it snappy and snippy. Nothing catchy. No taglines. Just what’s important conceptually as a framework to communicate to your audience.

What’s conceptually important – what should the audience understand?

And the last step is to refine that. It’s not going to come in one shot. It’ll take multiple iterations to do it. It’s not going to be perfect, and you’ll never be 100% happy with it. It’s better that it’s honest and genuine than it is perfect.

If we want to zoom out and use the jargon, we just ran through:

  • Creating brand identity.
  • Using identity to define the target audience.
  • Understanding the audience’s life context.
  • Positioning the offering.
  • Developing key messaging.
  • And then refining the message.

Katie: I like it.

Mordy: No jargon, I almost got through it!

SaaS Doesn’t Have To Mean Utility

Katie: I think it speaks to our audience to use a little bit of jargon in there. And speaking of that, I’m sure a lot of people you talk to and a lot of people in the Search Engine Journal universe are SaaS, software as a service.

I like the minivan example because it’s easy to wrap your head around. It’s an obvious life circumstance. You just say that word ‘minivan’ and it’s giving you a picture of being married with a bunch of kids, driving them around. You say one word, and it paints this whole picture. With SaaS, it’s so different.

And what would it be like, as a thought exercise to go through this, if you invent a software that’s a rabbit food feeding timer?

Mordy: Okay. A set that feeds your rabbit on a timer.

Katie: Something that’s life-oriented, right? Like, think about our universe, which is really kind of abstract, right? In terms of people’s day-to-day. And they’re really using software, probably in a professional sense, and probably not in their home life for the most part, let’s say like a marketing software or, you know, ads like PPC.

Mordy: I consult for a marketing software, so I’m not going to use a marketing software because I’m biased. Let’s say I use like a video editor tool – does that work?

Katie: Yeah, that works.

Mordy: All right, cool.

Brand Identity is the Foundation

Mordy: First of all, the most important thing is where I think brands get everything wrong. It’s not like one stage, and you go from stage one, which is brand identity to messaging refinement, which is, what, stage six?

Don’t think of it as a line. I did one, and now I go to the next one, then I go to the next one. Think of it like you’re stacking a building. You’re building a building.

The foundation is a brand identity, and then you build the next floor, the next floor, the next – and the top floor, the roof is the refinement that everybody can see from the helicopter.

But they’re not—if you imagine they’re in a helicopter looking down on this roof – they can’t see all of the other layers, but you can. And you have to start with brand identity.

And this – particularly for a SaaS tool – because SaaS, it’s really easy to get stuck in being a utility. “We’re just a utility.”

The problem with being a utility is that there’s no actual connection. And as soon as somebody else finds another utility that’s better, cheaper, or whatever, they’ll move. There’s no loyalty, which is literally what I did… I used another tool. I found it a little bit cumbersome. The pricing wasn’t super clear, so I moved to this one.

Now, I don’t love this one, by the way. If something else came along, I would totally move to the other one.

There’s no identity. I don’t know what separates CapCut from the other one I was using.

I don’t use Camtasia anymore only because I have an old license. I don’t want to pay for a new one. So if I’m going to pay for a new one, I find it a little bit cumbersome.

I have no actual loyalty to any of these platforms because I don’t know who they are and what makes them different.

You know why I don’t know who they are and what makes them different? Because they don’t know who they are.

A Connection With Your Audience Gains Customer Loyalty

Katie: If they worked on connecting with you as a brand and developed that emotional bond, you’d be more likely to stick with them, even if something better came out, a better feature.

Mordy: Because it’d be more for me. Right. They have to ask themselves – and I can’t do this for them – I don’t even know anything about it other than the tool. Someone recommended it to me and I use it.

They have to figure out: Why are you doing this? Why do you want to do this outside of making money? Why do you find this meaningful?

“Oh, because…” Let’s just say, “Because we help. Because we are into the idea of being able to do X, Y, and Z.”

Oh, okay, CapCut. Let’s just say their big thing is (because I use this part of their tool, so I like it—they automatically remove my background and put a new one):

“We’re all about people who don’t have a professional setup feeling like they have a professional setup.”

That’s just really important because we see the value in that. “We want to democratize video content,” etc. That would be an actual brand identity.

So now I know who I’m for. I’m not for a professional. I’m a big brand, I have a whole studio, I’m Coca-Cola, I have a whole in-house studio on site. [I’m not for them.] I’m for this audience.

Now, what are their problems, and what’s going on with them, and what’s happening with them?

Now it’s kind of easier to see.

“I really want to create professional-level content, but I don’t have the skills to do it.” I’m also not an idiot, either. So I kind of know what it’s supposed to look like. I kind of know what it’s supposed to be. I don’t have the time. I don’t have the technical know-how. I don’t want to pay anybody to do it.

These are my problems. How do you come in and solve that?

Katie: So it’s like the entire market proposition is tied into that.

Mordy: But they only realize to talk to me about my problems, and how they solve my problems, once they figure out who they were first.

But everybody skips that step. Everyone goes right to the roof—because that’s the only thing you can see.

Katie: That’s fascinating, Mordy. Brick by brick – you’ve got to stack it up before you get to the helicopter view.

Mordy: Gotcha. It’ll all come crumbling down at a certain point. The messaging won’t work. It’ll all fall apart. That sounds really doomsday-ish.

Katie: It does. But I do think that I will be checking out CapCut’s branding – to see what are they doing over there?

All I know is their little logo that I see frequently at the end of some of my favorite creators.

Mordy: So that’s good branding. It’s not great branding, but better than nothing.

Katie: Exactly. Better than nothing.

Wrapping Up: Shout Brand From The Rooftops

Well, Mordy, this has been very enlightening, and I want to thank you for coming on and sharing with me today.

What’s next?

Mordy: I was going to shout “brand!” from the rooftops. That was so like a dad joke.

Next time, we’re going to dive deeper into Stage One, which is building brand identity, and what that actually looks like, and how you do it.

Katie: That’d be fantastic. All right, everybody, thanks for joining us. And check us out: searchenginejournal.com.

Mordy, what’s your website?…

Mordy: Oh, I should know this – good branding! unifybrandmarketing.com.

Katie: Awesome. All right. See you next time, everybody.

Katie & Mordy: Bye!

More Resources:


Featured Image: Paulo Bobita/Search Engine Journal

Why Meaning Matters Most In Branding (And How To Build It)

Building a genuine emotional connection is crucial for forming a meaningful bond with your audience and transforming them into your most loyal customers.

In this episode, Katie Morton, editor-in-chief of Search Engine Journal, and Mordy Oberstein, founder of Unify Brand Marketing, explore why meaning is the foundation of successful brand marketing.

They break down how branding compounds over time, why emotional connections matter, and how to differentiate between surface-level and deep emotional engagement.

You can watch the full video here and find the full transcript below:

Why Meaning Matters Most In Branding – And How To Build It [Full Transcript]

Katie: Hey, everybody! It’s Katie and Mordy, and we’re here to talk about brands.

I’m Katie Morton, editor-in-chief of Search Engine Journal, and this is Mordy Oberstein, who is the founder of Unify Brand Marketing. He’s an expert on branding.

I’m so excited to be doing this series with Mordy. I know that I’m going to learn a lot, and so will you.

Mordy: I’m stoked about this. I see that; I have pure self-interest. I see a lot of performance marketing and brand marketing fusing together.

People on the performance side are talking about brand, which I’m excited to show them. Like, okay, here’s exactly why: If you’re on the performance side, you should be talking about brand.

Katie: Yeah, well, especially these days, right? So, today, we’re going to talk about – well, Mordy’s going to teach us a lot about why meaning matters most in branding and how to build it. Tell me about “meaning in brand.”

Mordy: Meaning matters most because meaning is absolutely everything for brand.

Brand is fundamentally about connection – everything starts from there. And that’s kind of why branding – it’s compounding over time, which is a little bit different than, say, performance marketing, where you’re just running PPC ads.

Brand compounds over time. Just like you don’t get married after one date (unless, I guess, you’re in [Las] Vegas) – you don’t form a bond with an audience after one activity, one asset, or one moment. Connection compounds.

It’s also very associative. Think about Nike back in the day, building up associations off the back of Michael Jordan – literally off the back of Michael Jordan – and reverse, but at the basis of all of that is meaning.

Fundamentally – I know this might sound a little bit weird – we as human beings are creatures of meaning, not utility.

Everything we do, in a weird way, is a search for meaning. The search for meaning is the search for being, the search for existing.

Wow. I know we just got super existential like two minutes in, but that’s actually good because branding is super existential. And that’s why the glue that holds the connection together is meaning. And I’ll prove it to you.

The More Meaningful You Are As a Brand, The Deeper The Connection

So, imagine you had a friend – which, for me, is hard to imagine – but every week, you and this friend went to a baseball game.

Every day (that would be impossible because they don’t play baseball every day, and they stop playing for five months), but imagine they played all year round, and you went every single day for five years.

Or, let’s say you played Dungeons & Dragons in your mom’s basement (whatever floats your boat) once a week for five years. That’s got to be a good friend to keep doing that for five years together.

But that’s nowhere near as close as you are to, let’s say, your mom – assuming that you are close. Conceptually, even if you hardly ever see your mom, you’re still far closer to her. Why?

Because your friend, in this case, helps you relax, have a good time, and connect over common interests.

Your mom, though – your mom helped shape who you are. She provided for you. She gave you life. All of that deeper stuff. And that’s far more meaningful than what your friend provides you with in this particular case.

The more meaningful, the more core to actual existence, the more connection is possible. The more core you as a brand are to your audience’s actual existence, the stronger the bond.

The more meaningful your brand is, i.e., the more it speaks to things that are core and integral to your audience and their very being, the more connection you’re going to have with them.

So, there is no brand without meaning because there’s no genuine connection without meaning. Meaning has to be at the core of your brand strategy.

And I will tell you, 99.9999% of the time, it is not.

The net outcome of that is you spend tons of time either trying to build up a brand that doesn’t work or trying to elicit a reaction, whether it be a payment, social media engagement, or whatever it is, from your audience.

It’s like moving a mountain. If you want your performance not to be like moving mountains, you need to have a brand that has meaning. If you want to push user activations, you first have to connect in a meaningful way.

Because what you’re basically asking a user to do when you ask them to convert or whatever it is, you’re basically asking them to give you a loan for, I don’t know, $500, whatever you’re charging for your product.

You’re asking them to do it for a total stranger. When was the last time you opened your wallet for a total stranger? I mean, you should – it’s good to be generous – but this is business, not charity.

I know, but I do want to say there are practical things to do here.

I know that was very conceptual, but I did that on purpose because brands should be conceptual. I didn’t want to start with the pragmatics of it, but there are actual practical things you could be doing.

So, just to run through a few of them:

Takeaway 1: Think Micro Level

One thing that helps me is to think about it at the micro level.

When you start talking about connection, audience, creating relationships, and getting people to be motivated, when you keep it at the micro level, like between you and a friend or you and another person, it’s really easy to see how that works.

But for some reason, when we zoom out to brands and companies, we start to lose that basic sense of reality, and those things become difficult. So, fine – keep it at the micro level.

What works for actual relationships, identity, and resonance between two people also works at the macro level. Extrapolate from there.

Takeaway 2: Differentiate Between Surface-Level Emotions And Core, Integral Emotions

The second thing – and I probably should have started with this because it’s more important – is to differentiate between surface-level emotions and core, integral emotions.

You have to be honest about that.

For example, fun is a very surface-level emotion, whereas things like connection or overcoming struggle are much deeper and more meaningful.

So, you need to be honest with yourself and understand what kind of emotional targeting your brand identity actually goes after. If it’s surface-level, don’t do that.

To help you do that, you can use a rubric to break down those emotional experiences.

If you’re trying to elicit an emotional reaction from an audience, targeting an emotional state of mind rather, with an audience, ask yourself: Is the emotional state you’re targeting surface-level? Neutral? Mildly deep? Does it have significant resonance? Is it deep or dripping with meaning? Or is it existential – does it produce a visceral reaction?

Like when you’re watching a movie – mine is Field of Dreams. When the dad and the kid play catch, you just can’t help yourself from crying.

If your brand can produce that kind of emotional connection, you’ve hit the mark.

Takeaway 3: Lean Into What’s Meaningful To You

The third thing is to lean into what’s meaningful to you.

It’s a two-way street. You can’t just target the audience – it’s a relationship.

So, what’s meaningful to you matters also. You can’t fake it till you make it. You have to understand who you are, what’s meaningful to you, and how that fits into the audience’s context.

Takeaway 4: Tap Into Who You Already Are

You should think about this more as tapping – I know we say building brand, but it’s more like tapping – into yourself, and understanding and really being honest with who you are, what you are, and what you’re trying to do, versus building something.

It’s more of tapping into something that’s already there – super helpful.

Katie: That was awesome. That was so profound of me. That’s awesome, Mordy. Cool.

Mordy: Like, hey, Paul, I interviewed Paul McCartney. Remember when he was in the Beatles? Yeah, that was awesome, man. I’m dating myself with that skit, by the way.

Q&A

Is It Universally Applicable? How Do You Apply It To An Unemotional Product Or Service?

Katie: I have a question for you. Is this universally applicable? Let’s say you are selling Mordy’s Widgets and Shakes, and you’re a company that sells cogs for wheels and milkshakes.

Mordy: Strong brand identity right there – cogs and milkshakes.

Katie: Right? Yeah. So, but, you know, milkshakes – people emotionally eat. And so, like, that’s an easier one, obviously, to connect with people on.

But cogs are really, like, they’re pretty – you know, like, the clockwork thing might be pretty unemotional.

So, would you appeal to people’s need for control or accuracy or precision?

Like, how do you apply this to something that might seem like an unemotional product or service?

Mordy: So, people ask me this kind of, like, all the time. What I just outlined is a process, and that process is universal. So, I’m not talking like – it always will look slightly different when it’s applied.

But the thing with brand, maybe different than maybe other disciplines, is that it’s all about process, and the process should be relatively universal.

So, let’s say you’re talking about widgets. First off, there’s a reason why you went into that business.

There’s a reason why you think it’s important that people have this widget.

There’s a reason why – there’s an impact that you’re trying to make on people’s lives. There’s a story there, right? There’s meaning in that. If there wasn’t meaning to that, why are you doing it?

Katie: Right? Even if it’s something like efficiency or cost savings.

Mordy: Yeah, no – like, just doing something, right? And then, but I would always – like, if it’s an efficiency – like, people will stop. Why is that efficiency important to that person? Like, what’s going on? Imagine it’s, like, a busy parent, and you’re making their lives more efficient.

So, we say, “Our product makes it more efficient.” I wouldn’t stop there. Right? Go to the next: What does that efficiency look like to that person? And why does it matter? Yeah.

Katie: How would that touch them emotionally – to feel like their life works, that they have a car that they can trust?

Mordy: I feel like a cog in a machine.

Katie: Don’t we all at times, Mordy? Don’t we all?

How Do You Bring Messaging To A Deeper Level?

Katie: So, and then, the other question I actually wanted to ask you is this: So, what if – let’s go back to the ice cream. What if it just feels surfac-y and it doesn’t feel deep? How do you bring it to that deeper level?

Like, as opposed to, like, you know, “I had a bad day, and I want to eat a pint because I know it’ll feel better.” It’s very surfac-y. But, like, what’s under that? How do you go deeper?

Mordy: So, personally, in that particular case, like, what’s going on is making you want to eat like that? Like, there’s clearly something going on.

Now, you know, as someone who would sit down with a pint, this inevitably pops up. I’ll tell you where it pops up a lot – where you have, like, a year in the vertical – I’ll say digital marketing agencies.

We all kind of sound the same. Sorry. We offer PPC and SEO, and, like, well, what else do we say?

So, again, it’s all about tapping in. If you can tap into why digital marketing is meaningful to you, like I said before, it’s a two-way street.

There has to be part of you involved in this connection – the meeting of two identities: your audience’s identity and your identity.

So, if you were like, “Oh, tap into yourself. Why did you get into digital marketing? Why do you think it’s important for people to have this? What do you think it does for them?”

Again, all of that motivation and reasoning and story behind what you did and how you got here – there’s usually an underlying level of meaning in there that you just haven’t sat down and really gotten in touch with.

Think of it like therapy for your brand.

Katie: Yeah, I really like that, Mordy.

Wrapping Up: What’s Next?

Katie: So, I think that in future episodes, we will get more into things like, “So, how does that translate into messaging or calls to action?” Or, you know, all the various things that brands can help with.

So, just teasing that a little bit – there’s definitely more to come.

Mordy: We’re going to get into a lot of, “How does brand actually impact your performance?” I’ll give you a spoiler alert: It makes it a lot cheaper.

Katie: Nice. All right. All right, Mordy, do you have any final thoughts for today, or should we wrap it up?

Mordy: Oh, no, I’m saving my thoughts for the next episode. Tease.

Katie: Yeah. No, all good things. All right. Well, that’s it for today. Have a good one. I am Katie Morton. This is Mordy Oberstein, signing out. Bye.

Mordy: Bye.

More Resources:


Featured Image: Paulo Bobita/Search Engine Journal

B2B Buyer Behavior Has Changed: Proven Strategies For Sustainable Relationships via @sejournal, @alexanderkesler

The reality of working in B2B today is that tried-and-tested tactics are no longer as effective for engaging buyers.

Buyers are independent, defensive, and prefer independent research before reaching out to sales, only when they are absolutely ready to do so.

Part of the reason for this is due to the increase in size of buying groups, the average of which now spans approximately 11 individuals.

These buying groups have their own complex purchasing processes – 70% of which take place in the dark and often anonymously before they reach out to sales.

When these buyers are ready, 84% of the deals go to the vendor on their day-one list.

This new buying behavior, where self-discovery predominates, highlights the urgency of evolving old tactics and embracing buyer-led strategies that meet buyers on their own terms, where they are.

This includes moving away from traditional lead generation in favor of evergreen, always-on buyer enablement practices based on buyer intelligence.

In this article, I will share five buyer enablement strategies based on successful demand programs that elevated our clients’ engagement metrics and resulted in sustainable buyer relationships.

5 Proven Demand Strategies To Enable Buyers

1. Identify Your Buyers Precisely

Identifying your buyer starts with recognizing that most B2B buying groups are made up of multiple stakeholders – as many as 15 individuals or more – each with distinct concerns and decision-making power, according to our own Q4 2024 market research.

To effectively engage these groups, you need detailed buying group personas that define key revenue leaders and influencers.

Referencing existing buyer personas at large accounts is a helpful starting point, while first-party data and other sources like client relationship management (CRM) insights, client interviews, website behavior analytics, and industry reports will provide you with a more comprehensive view of their needs, goals, and preferences.

Identifying intent signals is equally important for modern account-based marketing (ABM) strategies. These behavioral cues suggest when a prospect or buying group is actively researching solutions and may be in-market to buy.

Key buying group intent signals include:

  • Multiple website visitors from the same organization.
  • Consumption of solution-specific content.
  • Engagement across multiple channels.
  • Webinar or event attendance.
  • And many more.

Predictive tools, competitive research, and technographic data can further enrich these insights.

By integrating real-time intent signals into your ABM programs, you can dynamically adjust campaigns to align with the evolving needs of buying groups and their individual members.

Rather than relying solely on static personas, dynamic ABM leverages intent data to better understand each persona’s immediate pain points, preferred channels, and buying triggers.

This approach ensures that you reach the right personas, within the right accounts, with the right message at the right moment, ultimately driving greater engagement, pipeline velocity, and revenue impact.

2. Be A Partner To Your Buyers

We are seeing a trend of more and more buyers (as many as 58% according to our Q4 2024 market research) seeking the proven expertise of consultants and subject matter experts to inform and de-risk their decisions. This trend is closely associated with the increase in the length of buying cycles.

To compete effectively, marketers ought to adjust their engagement to offer integration and consultation, effectively establishing their brand as a committed partner that supports its buyers and meets their needs. This, in turn, translates to demand.

This brand-to-demand-to-revenue strategy relies on early engagement to establish trust and build a brand presence before buyers are actively looking.

The brand experience you present should carry across multiple touchpoints to engage all stakeholders within the buying group, emphasising your position as a trusted source.

Examples of early brand-to-demand tactics include:

  • Identifying the most suitable channels for generating awareness of your unique value proposition (UVP).
  • Sponsoring events to engage qualified prospects with just-in-time information.
  • Adopting a multithreaded nurturing approach.
  • Promoting curated content hubs to facilitate buyer research and self-discovery, customized per persona.
  • Offering webinars, workshops, or roundtables.
  • Providing buying group influencers with data to make an internal case, such as product specification sheets, decks, and guides.

Establishing a vendor-partner relationship is critically important when nurturing defensive buyers because it reduces risk, builds trust, and enhances buyer confidence – all of which are top priorities for today’s cautious, efficiency-driven buying groups.

This also helps buyers feel reassured that they are investing in solutions that are well-supported, credible, and aligned with other trusted vendors in their partner ecosystem​.

3. Focus On Buyer-Led Content

Nurturing and enabling buying groups calls for buyer-led content strategies that speak directly to active buyers, buying groups, and accounts.

Creating content hubs to enable buyer research is one of the most powerful moves you can make today, especially for large buying groups in complex industries.

Content hubs designed to support in-depth research empower buyers to make informed decisions with more confidence.

These content libraries also establish your brand as a reputable, expert source of information.

It is important to align content hubs to individual buying journey stages so buyers can self-serve information.

Below is an example of what that looks like:

  • Awareness stage: industry reports, tactical guides, thought leadership focused on how-tos.
  • Consideration stage: product overviews, case studies, webcasts.
  • Decision stage: demo request, pricing sheet, product implementation roadmap.

Additionally, content can be personalized by role:

  • CMO: trend reports.
  • Procurement: service-level agreement (SLA) terms.
  • Finance: return on investment (ROI) guide.
  • IT: security threat insights, compliance checklist.

Micro-targeting buyers with relevant, behavior-driven content is great for creating seamless, value-added experiences that drive preference and loyalty, ultimately enabling buying groups to confidently choose your solution.

To achieve competitive displacement, ensure your content is visible and discoverable throughout the buyer’s journey.

This can be achieved through SEO, AI/Generative Engine Optimization (AEO/GEO), and by leveraging omnichannel engagement tied to real-time behavior to deliver personalized messaging that resonates at every touchpoint.

You can also use intent-driven targeting to engage accounts already researching similar topics​.

4. Continuously Optimize With Demand Intelligence

Nurturing and enabling buying groups is not a one-time effort, but an ongoing optimization process.

Success depends on continuously updating intelligence across buyers, buying groups, and accounts to stay aligned with evolving needs and behaviors.

Measuring the impact of your buyer enablement tactics can be done in several ways:

  • Content engagement metrics, such as views, downloads, and time on page.
  • Buying group activation metrics, such as the number of roles and stakeholders engaged.
  • Deal acceleration metrics, such as sales cycle length and conversion rate.
  • Feedback loops with both buyers and sales teams.

By measuring and optimizing at every stage, organizations can identify what is working, adjust strategies in real time, and eliminate inefficiencies.

Essentially, they can successfully self-educate without talking to sales, which aligns with modern B2B buyer expectations.

Continuous optimization also turns good programs into great ones, driving stronger results and building lasting buyer trust.

This approach not only strengthens engagement, but also ensures that every marketing dollar is working harder, helping you maximize the impact of your spend.

5. Enable Sales Teams For Success

To truly nurture and enable buying groups, organizations must equip their sales teams with the right strategies, including the tools, insights, and approaches that support more informed and impactful outreach to buyers.

This starts with personalized messaging tailored to each account and buying group, and continues with follow-up that reflects the needs and behaviors of individual buying group members.

A key part of this approach is helping sales teams engage buyers at the right pace.

Acting as trusted consultants, sales teams can guide buyers through their journey with a buyer-centric mindset that clearly communicates the unique value of your organization.

Achieving this requires strong alignment and collaboration across marketing, sales, and the broader organization – everyone must rally behind a shared North Star focused on enabling the buyer first and foremost.

Best practices for achieving organizational alignment include:

  • Collaborating to define the ideal buying experience.
  • Setting joint revenue and buyer engagement targets.
  • Regularly refreshing sales outreach strategies.
  • Detailed mapping of each buying group and member, including pain points and interests.
  • Activating multi-threaded account strategies.

By prioritizing buyer enablement and supporting sales teams with the right approach, organizations create a seamless experience that builds trust, accelerates deal cycles, and drives better long-term outcomes.

The Importance Of Evolving Alongside Your Buyers

Buyer purchasing behavior has changed unequivocally. Buying groups are expected to remain cautious, with buyer journeys expected to lengthen even more.

To thrive in this environment, organizations must prioritize brand-to-demand and value-focused solutions, using their expertise to solve buying group challenges – all the while enabling self-service options whenever possible.

It is time to meet buyers where they are, which means evolving the playbook and closing the door to old ways of thinking.

Key Takeaways

  • Buying groups and long sales cycles are the new reality: Today’s buyers prefer to self-educate, making it essential to shift toward buyer-led strategies that meet them where they are – on their terms. This requires moving beyond traditional lead generation and embracing buyer enablement approaches powered by real intent signals.
  • Buyers and how they buy have changed: B2B purchases now involve up to 15 stakeholders or more, each with their own priorities and influence. To engage them effectively, build detailed buying group personas and identify intent signals that reveal when prospects are actively exploring solutions.
  • Buyer enablement does not end; it evolves: By optimizing at every stage, organizations can fine-tune strategies in real time, enabling better and consistent outcomes.

More Resources:


Featured Image: Alphavector/Shutterstock

How CMOs Can Tell Stories To Manage Change [Case Study With Mondelēz International] via @sejournal, @gregjarboe

Chief marketing officers should evaluate and synthesize success stories to learn from past marketing efforts, identify repeatable strategies, and demonstrate the return on investment (ROI) of their work to stakeholders.

Ultimately, this can help to drive better future campaigns and business outcomes.

As Steve Jobs once observed, “The most powerful person in the world is the storyteller. The storyteller sets the vision, values, and agenda of an entire generation that is to come.”

Telling Stories To Manage Change And Uncertainty

Storytelling is important because it’s a fundamental way that humans connect, share experiences, and learn.

It fosters empathy, creativity, and emotional intelligence while also helping to build relationships, convey complex ideas, and inspire action.

Mondelēz International, a Fortune 500 company in over 150 countries, generated around $36 billion in net revenue in 2024.

Its well-known international and local brands include Oreo, Ritz, and Tate’s Bake Shop cookies and baked goods, along with chocolate favorites like Cadbury Dairy Milk and Toblerone.

(Disclosure: I was a member of a team of subject matter experts who taught a bespoke digital marketing training program for hundreds of marketers at Mondelēz International. I can share its story now without violating my non-disclosure agreement because it has since made this information public.)

Mondelēz International’s Journey To Customer-Centric Growth

The challenge for any Fortune 500 CMO is navigating the ever-evolving consumer behavior and technological advancements.

Mondelēz International, a global snack giant, offers a compelling blueprint for not only reacting to change, but also proactively shaping it.

Its journey, spanning several years, highlights the critical elements of foresight, collaboration, and a deep commitment to understanding the customer.

Embracing Empathy At Scale

Back in 2019, Mondelēz recognized a fundamental shift in consumer expectations. The desire for generic brand messaging was waning, replaced by a craving for familiarity and personalization.

This insight spurred a strategic pivot, moving the company from a margin-focused approach to one centered on growth, fueled by increased marketing investment and a concept it termed “empathy at scale.

This wasn’t just about collecting data; it was about establishing the right connection with the right customer at the right time.

The early days of the pandemic underscored the wisdom of this shift.

While consumer behavior was in flux, Mondelēz’s prior investment in digital maturity and flexibility provided the agility needed to adapt.

The bedrock of this strategy was a profound understanding of its consumers, allowing it to create genuine value, a principle that remains timeless in the face of uncertainty.

Mondelez India’s Automation-Driven Success

Mondelez India has achieved remarkable success through automation, particularly in the diverse Indian market.

Its innovative approach to ad personalization has demonstrated the transformative power of marketing automation and machine learning in creating deep customer connections and driving significant sales.

During the Diwali festive season, Mondelez India recognized the immense value of local relevance for its Cadbury Celebrations gift boxes.

It ingeniously leveraged voice AI and ML to create ads featuring megastar Shah Rukh Khan, in which he personally named local stores selling their products.

This technology enabled the efficient generation of a staggering 130,000 videos, each tailored to a specific store.

Using YouTube’s advanced contextual targeting, the campaign matched ad versions with the right audience based on their proximity to local stores.

This hyper-local approach resonated strongly, resulting in a 60% increase in YouTube engagement, 42% growth in sales at local stores, and 33 million gift boxes sold during the festive season. The campaign underscored the power of making consumers feel directly seen and acknowledged within their local context.

Mondelez India further pushed the boundaries of ad personalization with its campaign for Perk, a chocolate brand popular among youth.

Recognizing the cultural phenomenon of “cancel culture,” the brand aimed to inject humor and encourage levity.

Using AI to identify 2.5 million of the most searched videos, it created custom disclaimers that playfully warned viewers of potential “triggers” within the content, such as a carrot being aggressively chopped in a cooking video.

These short, pre-roll ads were seamlessly integrated into each of the millions of trending videos using Google’s custom-built API and Director Mix technology.

The campaign’s clever and highly contextualized approach resonated with viewers, bringing in an impressive 84 million views, 635 million impressions, and a 20% spike in sales.

It demonstrated how injecting timely cultural relevance, powered by automation, can capture attention and drive business results.

Bridging The Art And Science Of Marketing

The execution of “empathy at scale” demanded a fundamental transformation in how Mondelēz operated. It wasn’t enough to have insightful data; the brand needed to activate it effectively.

This required a powerful synergy between the “art” of marketing and the “science” of data.

A pivotal element was the strong partnership between the chief marketing and sales officer and the architect of their data infrastructure. This collaboration was the engine driving their digital transformation.

Recognizing the need for robust data management, Mondelēz partnered with Google Cloud to build regional data hubs for first-party data.

Critically, it also invested in training its teams to leverage these new capabilities. This wasn’t just about technology adoption; it was about empowering its people to harness the power of data.

This strategic overhaul yielded impressive results. By integrating previously siloed data, Mondelēz gained a holistic view of its consumers, enabling it to deliver personalized content that cut through the noise.

This human-driven strategic shift, augmented by technology, resulted in significant ROI increases globally and in the U.S., laying a solid foundation for sustained growth.

Leveraging AI To Scale Personalization And Reach New Audiences

The marketing landscape continues to evolve, with audience fragmentation across media platforms becoming a significant challenge.

For brands with deep heritage, like Cadbury, the added complexity lies in extending their reach beyond traditional channels to engage new generations.

The story of Cadbury’s Creme Egg offers a powerful illustration of how to navigate this challenge.

Faced with increased competition and cost-of-living pressures impacting consumer spending, Cadbury recognized the need to connect with Gen Z and Millennials, who were less engaged with traditional TV advertising.

Building on its existing digital presence, particularly on YouTube, the brand explored the potential of AI-powered video advertising. Initially, adapting its existing TV ad for digital seemed like the most cost-effective approach.

However, it discovered that YouTube’s AI ad formats, specifically Video Reach Campaigns, required a diverse range of creative assets built from the ground up. This realization highlighted the importance of platform-specific creative strategies.

Through a collaboration with Google’s Creative Works team and its creative agency VCCP, Cadbury embraced this challenge. It developed a series of assets for an AI-driven campaign centered around its iconic “How do you eat yours?” slogan.

Leveraging consumer research, it highlighted different eating styles, creating quirky and engaging video statements in various formats, from six-second bumpers to longer ads with compelling story arcs.

By providing a diverse content ecosystem, Cadbury empowered YouTube’s AI to effectively match the right Creme Egg message with the right viewer at the right time.

This approach, managed through a single campaign, allowed the AI to optimize ad delivery based on business goals and audience signals far more effectively than manual adjustments.

Despite economic pressures, the success of this AI-powered campaign, which focused on maximizing unique reach, led to increased investment in both production and media, demonstrating the power of AI to enhance campaigns while underscoring the enduring importance of human creativity.

Key Takeaways For CMOs

This series of Mondelēz International case studies offers valuable insights for CMOs seeking to navigate the complexities of modern marketing and foster customer-centric growth.

Several key takeaways emerge from these examples.

1. Customer Empathy Serves As The Foundational Element For Sustainable Growth

Mondelēz’s early recognition of the necessity to prioritize understanding its customers over solely focusing on margin proved pivotal.

This “empathy at scale” approach became the cornerstone of its subsequent achievements.

This goes beyond mere data collection; true empathy involves utilizing those insights to generate genuine value for the customer by deeply understanding their needs and desires.

The resilience of this customer-centric strategy was particularly evident during the pandemic, enabling Mondelēz to adapt swiftly due to its preexisting strong understanding of its consumers.

2. Hyper-Personalization Implemented At Scale Drives Significant Results

The success of Mondelez India with campaigns for Cadbury Celebrations and Perk illustrates the transformative potential of marketing automation and machine learning in delivering personalized experiences on a large scale.

The Cadbury Celebrations campaign brilliantly demonstrated the impact of hyper-local personalization, making consumers feel directly seen and acknowledged within their own communities.

Furthermore, the Perk campaign highlighted the effectiveness of incorporating timely cultural relevance, powered by AI, to cut through the noise and resonate effectively with audiences.

3. Bridging The Gap Between The Art And Science Of Marketing Is Essential For Success

Effective marketing in today’s landscape demands a strong synergy between the creative aspects of marketing and the analytical power of data.

Achieving this requires critical cross-functional collaboration, particularly a strong working relationship between the CMO/CSO and the data infrastructure architect to drive digital transformation.

Investing in robust data infrastructure is only part of the equation; CMOs must also prioritize training their teams to effectively utilize these new capabilities.

Ultimately, integrating siloed data to gain a holistic view of the customer enables more effective personalization and improves overall return on investment.

Summary

While AI is a powerful tool for scaling personalization and reaching new audiences, it necessitates a strategic approach.

AI can assist brands in overcoming the challenge of reaching increasingly fragmented audiences across numerous platforms.

However, it’s crucial to recognize that platform-specific creative is often necessary, as simply repurposing traditional creative for digital platforms may not be optimal.

AI-powered ad formats often require tailored creative strategies developed from the outset.

Despite the capabilities of AI, human creativity remains essential. Compelling and engaging creative, driven by human insights, is still fundamental to campaign success.

Even during periods of economic pressure, investing in AI-powered campaigns focused on maximizing unique reach can yield significant results and justify further investment in this technology.

The Mondelēz journey underscores the importance of a fundamental shift towards customer-centricity, enabled by strategic investments in technology, data, and talent.

By embracing these principles, CMOs can equip their Fortune 500 companies to not only weather the storms of change and uncertainty, but also to emerge stronger and more connected with their customers.

More Resources:


Featured Image: StockLite/Shutterstock

To Navigate AI Turbulence, CMOs Can Apply The Flywheel Model via @sejournal, @gregjarboe

Right now, as technology changes daily, chief marketing officers face exceptional levels of change and uncertainty. But it’s not for the first time (or the last).

During the COVID-19 pandemic, nearly two-thirds of CMOs in Fortune 500 companies overcame the extraordinary challenge of navigating change and uncertainty.

This resulted in 65% of CMOs who exited their roles after an average tenure of 4.3 years  “being promoted to more senior roles” or “making lateral moves to other attractive CMO positions.”

However, what was a pandemic obstacle course has been followed by an AI Olympic steeplechase.

To navigate these turbulent times, CMOs should consider analyzing marketing research and applying digital trends to:

  • Discover consumer insights for effective marketing in a dynamic market.
  • Unlock exceptional marketing results and increase return on investment (ROI) with the power of AI.
  • Reach customers across search, video, social, and shopping platforms.
  • Drive progress in marketing by championing the latest innovations and ideas.
  • Transform their data into a tool for building a lasting business advantage.

To lead their teams, CMOs could also apply the flywheel model, a customer-centric approach to business growth.

Adding AI To The Traditional Flywheel

Recently, based on a survey of 2,000 global marketers, Think With Google wrote:

“The traditional flywheel has always existed in marketing. Now, leaders are adding AI to multiply its momentum.”

Screenshot from Think With Google, April 2025

The article provides CMOs with a framework, built on four interconnected pillars:

  1. Measurement and insights.
  2. Media and personalization.
  3. Creativity and content.
  4. People and process.

This framework outlines how AI is amplifying the traditional marketing flywheel.

Measurement And Insights

The first pillar, stresses the importance of aligning key performance indicators (KPIs) with business performance metrics like profit and ROI.

Implementing modern, AI-powered measurement tools is crucial for accurate data and insights while respecting privacy.

A foundation of well-defined KPIs, historical data, and first-party data enables outcome-based planning, where AI predicts and improves campaign performance, optimizing budget allocation.

The future involves an AI-powered Marketing Engine for continuous, real-time optimization.

Media And Personalization

The second pillar, focuses on AI’s role in delivering the right ad to the right person at the right time.

Leading marketers scale successful AI-powered campaigns, shifting budgets for maximum ROI and flexibility.

AI identifies engaged, high-value audiences across channels, revealing valuable consumer behavior insights.

The ultimate stage is AI-powered media transformation, where an AI engine autonomously creates and refines media plans in real time based on continuous measurement.

Creativity And Content

The third pillar, explores how generative AI aids in brainstorming impactful ideas to help develop innovative content.

AI identifies and amplifies top-performing assets, and AI-powered “creative studios” accelerate time-to-market.

AI also enables pre-launch testing and optimization, bringing the goal of real-time, personalized creative delivery closer to reality.

People And Process

The fourth pillar, emphasizes collaboration, extending to the C-suite.

Sharing prioritized AI opportunities early is vital. Transformative leaders restructure organizations to fully leverage the AI engine.

Scaling AI success requires investing in AI talent to develop new operational methods, which are then formalized and disseminated.

Leading marketers design improved workflows and assess AI impact, recognizing that holistic organizational transformation is needed.

The article concludes that these four interdependent pathways merge to create the AI-powered Marketing Engine, amplifying the traditional marketing flywheel.

Analyzing Market Research And Applying Audience Research

CMOs will quickly notice that “The AI-powered Marketing Engine” framework can help to overcome four of the five obstacles that I mentioned above:

  • Measurement and insights can help transform their data into a tool for building a lasting business advantage.
  • Media and personalization can help to reach customers across search, video, social, and shopping platforms.
  • Creativity and content can help unlock exceptional marketing results and increase ROI.
  • People and process can help to drive progress in marketing by championing the latest innovations and ideas.

And CMOs will immediately wonder: Why can’t the AI-powered Marketing Engine help our analysts discover consumer insights for effective marketing in a dynamic market?

That’s the right question to ask, and there are two probable answers.

The first was provided by Avinash Kaushik in 2014, when he asked, “Is your company creating reporting squirrels or analysis ninjas?”

In any organization, investments in data generate two distinct types of work: Reporting Squirrel work and Analysis Ninja work. While both are important, only one directly contributes to improving the company’s financial performance.

Reporting Squirrels primarily focus on data production, spending most of their time creating reports for various stakeholders.

Their responsibilities include data extraction, query writing, fulfilling ad-hoc requests, scheduling data outputs, and coordinating with IT teams for data acquisition.

Conversely, Analysis Ninjas dedicate their time to analyzing data and generating actionable insights, which are typically communicated in clear, plain language.

Their work involves tasks such as data retrieval, segmentation, in-depth exploration, modeling, creating unique datasets, answering business questions, and defining data requirements for Reporting Squirrels and IT teams.

It’s important to note that Fortune 500 companies don’t typically hire individuals with the titles “Reporting Squirrel” and “Analysis Ninja.” Instead, they employ analysts or data scientists.

However, CMOs need to ask if these professionals are primarily focused on data output rather than providing actionable recommendations.

The second probable answer was in my recent article, where I mentioned, “GA4 gives us less than a third of the data we need to know about user acquisition: The initial stage of building business awareness and acquiring user interest.”

I added, “Somehow, we’ve missed what GA4 can’t – or doesn’t – tell us about the Zero Moment of Truth (ZMOT): the moment in the purchase process when the consumer or business buyer researches a product or service prior to visiting your website.”

So, if CMOs realize that they don’t have a clue about where the lion’s share of their customers discovered their brands or products before visiting their website, then what should they do?

They have two options: Get audience research and conduct market research.

Audience research and market research are distinct but complementary approaches to understanding a business environment.

Audience Research

Audience research focuses on the individual, delving into the needs, preferences, behaviors, and language of the target audience.

This micro-level perspective is achieved through direct engagement with the audience via interviews, surveys, focus groups, social media analysis, and by leveraging existing customer data like customer relationship management (CRM) and support logs.

Market Research

In contrast, market research takes a broader, macroeconomic view, examining the overall landscape.

It involves analyzing industry trends, competitor activities, economic data, and trade publications to assess the viability of products or services.

Think of market research as providing the map, indicating where to go, and audience research as the compass, guiding you on the best path to get there. Therefore, both types of research play crucial roles.

AI Won’t Take Your Job. Somebody Using AI Will

CMOs remember what economist Richard Baldwin said at the 2023 World Economic Forum’s Growth Summit: “AI won’t take your job. It’s somebody using AI that will.”

They understand that their Fortune 500 company expects them to successfully navigate the complexities of the AI era and achieve sustainable growth.

To do that, they must embrace AI-powered tools and frameworks while prioritizing a deep understanding of their audience through dedicated research efforts.

By integrating these approaches, CMOs can transform data into actionable insights, optimize marketing strategies, and ultimately, build a lasting competitive advantage in an increasingly dynamic market.

More Resources:


Featured Image: R.bussarin/Shutterstock

Why Search Marketing & Branding Need Each Other via @sejournal, @coreydmorris

I own a digital agency that has existed for 20 years and did branding until just two years ago.

It wasn’t until we stopped doing branding that I came across a number of meaningful connections and “needs” search and branding teams have that enhance the efforts of both.

Search marketers are often at the other end and far away from brand strategy.

When branding is pressed for return on investment (ROI), it often comes downstream through marketing channels, platforms, and the implemented strategy.

Search often struggles without a differentiated brand or strategy to stand  out from competitors in search results for ads or content.

I believe there are great benefits to connecting branding and search, partnering together, and working closely within broader business and marketing teams and environments.

Digging into conversations, my experience, and perspectives shared with me, I’m sharing the benefits categorized for search marketers and brand creatives/strategists alike that can create more consistent and impactful opportunities to elevate brands and performance overall.

For Search Marketers

Content & Creative Standards

In the absence of robust brand strategy development and documentation, search marketers (among other channels) are often left in a vacuum when it comes to creating content and assets needed for SEO and paid search success.

In a vacuum, there are best practices and channel strategies that can guide what gets created and what words, messaging, and creative are utilized.

However, it can be fragmented, inconsistent, and unrelated to broader themes and objectives.

When we have standards and strategies to leverage, we can be a further extension of the key unique messages to bring the brand alive.

I can’t count the number of times there have been conversations between search marketers and sales teams about specific ad copy and imagery that have no grounding or truth from brand strategy to fall back on.

I’ll say this as someone who has done SEO for a long time: You don’t want an SEO to write your copy or design your creative. There are exceptions and unicorns, but you want your SEO experts and SEM specialists doing their craft.

Unique Value Propositions

One of the key measures of search campaigns and strategies is how effective they are in driving conversions – and even deeper, what happens with those conversions and whether they become actual sales, revenue, and profit.

When leads are qualifying, too expensive, beat salespeople up over price, or don’t buy from an online store and go back to Google, we haven’t done our job in telling the story and sharing our value proposition.

There will always be someone looking for the cheapest, and unless we’re the low-price leader, we’ll lose those sales.

But, when someone is seeking our unique offering and factors that can include price but much more are in play, we want to do a great job presenting those at every touch point, including those important to SEO and PPC.

Without having these, we’re either making up our own, leaning on more shallow features and benefits, or inadvertently making our products and services seem similar to everyone else’s.

Support For Off-Page Factors

Unique content, value, and benefits offered through a strong brand identity and strategy can lead to more defined and actionable results.

This is especially true when it comes to attracting links to content (backlinks), and unlinked brand mentions that matter for SEO.

With both legacy focuses on PR and the ability to leverage the brand and newer focuses on digital PR strategies to enhance being found through AI search functions, having a solid branding foundation is important for SEO and PR efforts connected to optimization around external factors and backlinks specifically.

Support For Other Resources

At points in my career managing SEO and paid search, when talking to a writer, UX designer, and other resources, I’ve been faced with questions outside of SEO about voice, tone, style, and other brand aspects.

In many cases, I haven’t had a person, team, or documentation to point to.

SEO especially needs other resources like IT, UX, writers, and others to be successful.

When branding and brand strategy are integrated and accessible, we can again reduce a gap or vacuum created when other resources get pulled in.

The more integrated our messaging is, the better we know our brand and the rules of the road and the more we can do together to be efficient in our resources and not have to do disjointed, unique research in different functions and departments.

For Brand Creatives & Strategists

Connection To More KPIs And ROI

Brand strategy and development have always been critical to any company’s presence, impacting product development, sales, marketing, and customer service.

In so many cases, though, branding has been hard to connect to specific direct key performance indicators (KPIs).

Stakeholder reactions, adoption, and validation of the intended messaging happen.

But most measurement downstream happens in marketing, sales, and other areas well beyond first impressions, and it isn’t explicitly intended to measure brand impact when it gets into marketing tactics and sales pipelines.

With integration and closer relationships between digital marketing (and search) and branding counterparts, more customer journey mapping can be done, bringing KPIs into alignment from the branding process all the way through conversions and sales.

Research And Data Gained

Branding processes leverage market research to guide their work.

Search marketing lives on research data (keywords, audiences, competitors) and analytics to get as real-time as possible in terms of measuring impact.

Search-specific research and analytics are not typically top sources for branding projects. Yet, the data can be a great supplement (and even potentially unique in some cases) to help add another dimension to the market research used in branding strategy decisions and development.

By partnering with search colleagues, a new wealth of information can be gained.

Ongoing Refinement And Optimization

Often, branding, rebranding, and brand strategy are thought of as projects or undertakings that are done once and then done again years down the road – that they aren’t ongoing or continuous processes.

My friend, who owns a highly-regarded branding agency, noted that it is often about once a decade that a lot of companies in the niche industries he serves do a rebrand.

They view it as a one-time event rather than an ongoing strategy or thing to measure, refine, and optimize. That’s a very different approach from search marketing.

By leveraging the insights, partnerships, and opportunities that search marketing and other digital marketing channels offer, branding can become more ongoing and more effective.

Not in the sense of rebranding a company every year, month, or week, but in the sense of being able to make refinements and updates to make it as goal-oriented and effective as possible over time.

Ability To See Implementation All The Way Through

This one is something I was a stickler about in the days that my agency was still doing branding.

It can be deflating, if not frustrating, to invest so much into a complete brand strategy over months and, ultimately, see it not be fully implemented or activated as intended.

In so many cases, the project ended, and even when my team was in charge of implementing the look and feel or messaging in certain places, it was handed off to others to carry forward.

We could find implementations that didn’t follow standards, missed assets, or content that broke the rules.

When search and brand work together, there’s an opportunity to ensure that, down to the keyword and display ad level, there’s a two-way street between search best practices and the brand strategy.

This is to make sure the implementation and activation of the unique aspects of how search is delivered to prospects and customers.

Bringing It All Together

While branding processes and teams might be far away from search tacticians, who are often at the bottom of the funnel driving conversions, and might not seem to have much in common, I contend there’s a big benefit to partnership.

Whether it is a connection to KPIs all the way through, access to data and research, ensuring full and proper implementation, or other factors I unpacked (and even more that I didn’t), in short, brands benefit overall.

We don’t get stuck in as many situations being considered a commodity. Sales teams can be teed up for success without competing on price. Brand affinity can start much sooner, enhancing lifetime value and customer loyalty, which impacts profitability and growth.

More Resources:


Featured Image: Rawpixel.com/Shutterstock

Smart Bidding In Google Ads: In-Depth Guide via @sejournal, @brookeosmundson

Imagine running campaigns that adjust bids perfectly for every auction, targeting the right user at the right moment.

That’s the promise of Smart Bidding in Google Ads.

For PPC marketers, especially for beginners, Smart Bidding can feel like an enticing but sometimes overwhelming tool.

Between algorithm updates, new automation options, and ever-changing PPC best practices, it’s easy to lose sight of how to maximize its potential.

In this guide, we’ll explore what Smart Bidding is, how it works today, and the actionable strategies you can use to get the best results. Whether you’re new to automation or looking to fine-tune your approach, this article is here to help.

What Is Smart Bidding?

Per Google’s definition:

“Smart Bidding refers to bid strategies that use Google AI to optimize for conversions or conversion value in each and every auction.”

Unlike manual or rules-based bidding, Smart Bidding uses data signals – like device type, time of day, location, and even user intent – to determine the optimal bid for each auction.

Some of the key Smart Bidding strategies include:

  • Target Cost Per Acquisition (CPA): Sets bids to help you get as many conversions as possible at your target cost per acquisition.
  • Target Return on Ad Spend (ROAS): Focuses on maximizing conversion value at your desired return.
  • Maximize Conversions: Aims to get the highest number of conversions within your budget.
  • Maximize Conversion Value: Optimizes for the highest total conversion value, perfect for campaigns with varied transaction amounts.

These strategies are invaluable for streamlining campaign management, saving time, and improving results.

However, they work best when paired with a clear strategy and enough data points to make sound decisions.

When Should You Use Smart Bidding?

Smart Bidding isn’t a one-size-fits-all solution. Choosing the right strategy depends on your campaign goals, audience, and available data.

Here’s when each strategy shines, along with real-world examples to help you decide:

Target CPA

Target CPA is perfect for campaigns where controlling the cost per lead or conversion is crucial, such as lead generation.

For example, a SaaS company running a campaign to drive free trial signups wants to maintain a $50 CPA.

By setting this target, Smart Bidding adjusts bids to focus on leads that are more likely to convert within that range, while ignoring auctions where conversion costs might exceed that goal.

Target ROAS

This Smart Bidding strategy is ideal for campaigns where profitability matters more than the number of conversions. Typically, most ecommerce businesses would opt for a ROAS strategy.

For example, say an online retailer selling high-end electronics has a goal to maintain a 400% ROAS (four times return on every dollar spent).

Using Target ROAS, the algorithm prioritizes auctions for users likely to generate higher-value purchases, such as customers buying laptops, while de-emphasizing bids for lower-margin items like accessories.

Maximize Conversions

Try using this Smart Bidding strategy when you have a set budget and want to maximize the total number of conversions, regardless of cost per conversion.

It’s especially effective for brand awareness or expanding into new markets.

For example, say, a non-profit organization aims to maximize email signups for a new awareness campaign.

Since the focus is on volume rather than cost efficiency, Maximize Conversions helps them get the most signups possible within their budget.

Maximize Conversion Value

This strategy is best for campaigns with varied transaction values, where the goal is to optimize for total revenue or high-value actions.

For example, a luxury travel agency advertises vacation packages ranging from $5,000 to $20,000.

By using Maximize Conversion Value, the campaign prioritizes auctions for customers likely to book premium packages, even if they cost more to acquire, rather than focusing on smaller bookings.

Common Pitfalls Of Smart Bidding

Smart Bidding is a powerful tool, but it’s not immune to challenges. Understanding potential pitfalls can help you avoid costly mistakes.

1. Insufficient Or Incorrect Data

Smart Bidding relies heavily on historical data to optimize bids. Campaigns with low conversion volume or incomplete tracking often confuse the algorithm, leading to poor performance.

For example, if you have a campaign that only gets 10 conversions in the past 30 days, it may not be best to go all in on Target ROAS or Target CPA strategies until it gathers more data.

With only a handful of conversions every month, the algorithm lacks enough data to predict future outcomes, resulting in missed opportunities or over-aggressive bidding.

For new campaigns, consider using Maximize Clicks first to gather enough traffic to your website, allowing the algorithm to learn faster and gain more historical data.

2. Misaligned Goals

Using the wrong bidding strategy for your campaign objectives is the easiest way to derail your campaign.

For instance, Target CPA may not be suitable if profitability (ROAS) is your primary goal.

In this hypothetical example, say a retailer mistakenly applies Target CPA to a holiday campaign, aiming for a $20 CPA, even though their products have a $200 average transaction value.

That strategy drives volume, but at the expense of profitability.

Make sure to clearly define your campaign’s primary objective (lead generation, revenue maximization, etc.) and choose a Smart Bidding strategy that aligns with it.

3. Overlooking The Learning Phase

Every Smart Bidding strategy has a learning phase where performance may fluctuate as the algorithm adjusts.

Making changes too soon can reset the process and waste budget.

Say you just launched a campaign with a Target CPA strategy, only to switch it to Maximize Conversions just one week later due to inconsistent results.

This prevents the algorithm from stabilizing and optimizing for long-term success.

Allow one to two weeks (or longer for low-volume campaigns) for the learning phase to complete. Monitor performance, but avoid major changes during this period.

4. Ignoring External Factors

While Smart Bidding is highly adaptive, it can’t predict seasonal trends, promotions, or external market shifts without proper input.

Make sure to use Google’s seasonality adjustment tool to account for temporary shifts in user behavior during sales or promotions, or even national events that could change a user’s online behavior.

5. Underutilizing Advanced Features

Many advertisers set up Smart Bidding, but fail to use advanced options like bid simulators, audience layering, or custom conversion values.

This limits their ability to optimize performance.

Try testing out some of these additional campaign or ad group layers to understand the potential outcomes, and use audience insights to refine targeting.

Best Practices For Smart Bidding Success

Smart Bidding can be a game-changer in the results of your campaigns, but it’s not a magic wand.

To get the most out of this powerful tool, you need to pair automation with thoughtful planning and regular oversight.

By following these tried-and-true best practices, you’ll not only improve campaign performance but also avoid the common pitfalls that trip up many advertisers.

1. Feed The Algorithm With Clean, Accurate Data

Conversion tracking is the backbone of Smart Bidding. Errors in tracking or unverified conversions can lead to misguided optimizations.

When fed with clean and accurate data, the algorithm has the best chance to produce fruitful results.

But when fed with inaccurate data points, your Smart Bidding strategy will wreak havoc on your performance.

Garbage in, garbage out.

Be sure to regularly audit your conversion tracking setup. Ensure every key action (purchases, form submissions, calls, etc.) is tracked accurately and attributed correctly.

For ecommerce campaigns, make sure to include transaction values to correctly use Maximize Conversion Value or Target ROAS strategies.

2. Set Realistic Goals

Unrealistic CPA or ROAS targets can choke the algorithm, resulting in limited impressions or poor bid adjustments.

If you’re not sure what to set your campaign targets at, review historical campaign datasets to set achievable targets.

For example, if your average CPA is $50, don’t set a Target CPA of $20 right away. Start closer to your historical average and adjust gradually.

This also pertains to your daily budget. If your daily budget is only $50 but your average CPA target is $50, this will severely limit ad serving because it’s holding back finding the user most likely to convert.

3. Layer Audiences And Signals

While Smart Bidding works on its own, adding audience segments or demographic layers can give the algorithm more context.

Try using remarketing lists, in-market audiences, and customer match data to guide Smart Bidding towards higher-value users.

You can add audience segments as “Observation Only” to start with if you don’t want to narrow on those users specifically yet.

Depending on their performance, you can always adjust your bids up or down, or even exclude them altogether.

4. Leverage Seasonality Adjustments

Google’s seasonality adjustment feature lets you signal to the algorithm about anticipated spikes or dips in demand.

Before a major sale or holiday, input a seasonality adjustment to help the algorithm prepare for the surge in conversions.

Additionally, make sure to increase your daily budgets to account for those holiday surges.

5. Monitor Performance With The Right Metrics

Don’t rely solely on Google Ads’ automated suggestions and insights.

Do your due diligence and analyze auction insights, search impression share, and audience performance to identify trends and areas for improvement.

6. Run Experiments To Validate Strategies

Testing is critical to understanding what works.

Google Ads Experiments allows you to split test Smart Bidding strategies without risking your entire budget.

For example, say you’ve been running a campaign on Maximize Conversions, but are looking to narrow in on a specific CPA target.

You can set up an experiment to test a Target CPA strategy against the Maximize Conversions to see what performs better for your goals.

That way, you’re not dramatically shifting the behavior of the account overnight and introducing a lot of volatility into performance.

The Bottom Line On Smart Bidding

Smart Bidding in Google Ads has evolved to become an indispensable tool for PPC marketers.

Its ability to leverage machine learning and real-time data is unmatched, but like any tool, its success depends on how you use it.

By aligning your strategy with your goals, feeding the algorithm accurate data, and monitoring performance regularly, you can unlock its full potential.

Remember, automation doesn’t mean you’re off the hook – it means you have more time to focus on strategy, creativity, and scaling your campaigns.

With the right approach, Smart Bidding isn’t just smart – it’s transformational.

More Resources:


Featured Image: dee karen/Shutterstock