Tips For Running Competitor Campaigns In Paid Search via @sejournal, @timothyjjensen

Paid search professionals constantly debate the merits of running paid search campaigns bidding on competitor brand names. Questions such as the following may arise:

  • Is bidding on your competitors ethical?
  • Are the high costs-per-click (CPCs) worth spending the budget on?
  • Are you actually reaching people with buying intent?

In this article, I’ll talk through answers to these questions and more to help you understand if a competitor search campaign might be right for your brand.

Competitor Bidding Ethics

Google and Microsoft allow you to bid on your competitor’s name within keywords (and this right has even been tested in the courts here and here.), but you cannot directly mention a trademarked brand name (that you don’t have the rights to use) in ad copy.

In addition, even if you don’t include their name, you should not write your ad copy in a way that a user thinks they may be going to your competitor’s site instead of yours.

For instance, you might use the headline “Official Site” (without mentioning whose official site you’re pointing to). When a user sees that in conjunction with having searched for the competitor’s name, they may naturally think they’re going to that company’s site.

Finally, the landing page should also clearly feature your brand’s name and logo in order to avoid deception.

Cost-Benefit Analysis Of Competitor Bidding

Let’s face it: competitor keywords can have expensive CPCs. High competition around these keywords in many industries drives up cost.

You’ll also generally struggle to achieve a decent quality score due to other companies’ brand keywords naturally being deemed less relevant to your ads and landing pages, which can also impact cost.

Because of the high potential cost, competitor bidding does not make sense for all industries or brands.

For instance, if you’re selling products with a low profit margin, bidding on these pricy keywords may not work. Generally, this tactic works best for higher cost, higher margin products and services, as it’s easier to still yield a return on investment (ROI) after higher costs-per-acquisition (CPAs) and lower conversion rates.

Be careful also about entering competitor bidding “wars” for the sole reason that other brands are bidding on your name. This action can quickly lead to rising CPCs for all with little payoff.

One scenario where I’ve seen competitor bidding work best is when a company offers a very specific, complex service that’s difficult to sum up in a search query but has established brands that the right prospects would be familiar with.

For instance, if you’re promoting software for a particular type of industrial machine, niche buyers may be aware of companies that already provide that software.

Once you’ve established a use case for competitor bidding, you should establish a list of brands to use.

Determining Competitors To Bid On

When figuring out which competitor brands to bid on, you should rely on a combination of both internal company data as well as ad platform data.

First of all, talk with key stakeholders in marketing and sales to determine who the brand considers to be top competitors.

Who has similar products and services? Which brands target similar prospects (whether by location, demographic, or company traits)?

Note that this list may not and likely will not contain all potential competitors.

If you have established paid search campaigns already, use auction insights to see the top brands showing up for the same queries as yours. Of course, these may not all be completely relevant and will require some vetting through.

Once you’ve compiled a list, it’s time to think through the keywords you’ll bid on.

Who Is (And Isn’t) Your Audience

Be careful about going unnecessarily broad in the keywords you’re using in competitor campaigns.

Generally, if you’re just bidding on the brand name alone, you’re likely reaching a lot of existing customers looking to log in, place online orders, or find a nearby location without giving a second thought to anything else.

For instance, Apple isn’t going to sell many MacBooks by bidding on the word “Microsoft.”

Ideally, you want to reach people who are in a research phase, indicated by wording in their search query:

  • [Brand name] + cost/pricing
  • [Brand name] + compare/vs
  • [Brand name] + reviews
  • [Brand name] + pros/cons
  • [Brand name] + alternatives
  • [Brand name] + features

While a potentially riskier strategy, as people may be in a heated moment, you could also test targeting people experiencing issues and potentially in the market to switch:

  • [Brand name] + support
  • [Brand name] + troubleshoot
  • [Brand name] + cancel

Create Your Ads

Now, think through the ad copy you’ll put in front of prospects searching for competitors. Take some time to review competitor ads and offers, considering how your calls-to-action (CTAs) will stack up.

Think through areas where you “win” against certain competitors and highlight those. Remember that these may vary based on the brand you’re bidding against.

For instance, you may have lower costs than a certain competitor and highlight pricing for those searches, while you may have higher costs than another competitor but have unique features to highlight.

Also, look at how your offers compare. If one competitor offers a seven-day demo and you offer a 30-day demo, feature that in your ad.

This also should be an area you regularly monitor and adjust CTAs based on how competitors tweak their ads and offers.

What Happens After The Ad?

One maxim applicable to any paid search campaign is that what happens on the search engine results page up to the ad click is only one portion of the user experience.

A significant portion of the decision process happens after reaching the landing page, beyond what you can control in keywords and ad copy.

Think through what your prospect is seeing based on the context that they were researching a competitor. Your homepage probably isn’t the best place to land them, and the same sales landing page you use for more general keywords may not be ideal either.

Assuming a user is comparison shopping, placing some content on your landing page positioning your brand against others will likely help.

For instance, you could create a table showing how your features and pricing stack up vs. competitors (either mentioning specific names or providing industry averages).

You could also hone in on trust signals that set your brand apart. Highlight industry awards you’ve won. Mention the number of accounts serviced. Talk about how many integrations you have with commonly used products.

If you need to establish a baseline for comparing against other companies, prompt a large language model (LLM) to put together a list of features for your brand and a list of top competitors.

Provide the URLs for pages that would contain products/services to flesh this out.

Launch And Monitor Results

Once you have your competitor campaigns fleshed out, it’s time to get them off the ground and see what performance looks like.

In addition to ensuring proper conversion tracking and watching for lead/sale quality, you’ll also want to keep an eye out for both how current competitors change up their offers and new competitors entering the space that may be worth targeting.

With a carefully thought-out setup and proper monitoring, you may find that competitor search campaigns allow you to capture leads or sales from queries you were not previously reaching.

On the other hand, you may discover that for your industry, the CPAs and conversion rates aren’t worthwhile, but as with anything in PPC, you ran a test and learned the results.

At the very least, take stock of potential competitors in your field and consider testing if you are looking to expand your reach in paid search.

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Featured Image: SvetaZi/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.

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Featured Image: SvetaZi/Shutterstock

Study: Advanced Personalization Linked To Higher Conversions via @sejournal, @MattGSouthern

A new study commissioned by Meta and conducted by Deloitte finds that advanced personalization strategies are associated with a 16 percentage point increase in conversions compared to more basic efforts.

The research also introduces a maturity framework to help organizations evaluate their personalization capabilities and identify areas for improvement.

What the Data Shows

According to the study, 80% of U.S. consumers say they’re more likely to make a purchase when brands personalize their experiences. Consumers also report spending 50% more with brands that tailor interactions to their needs.

The report connects these behaviors to broader business outcomes. In the EU, Meta’s personalized advertising technologies were linked to €213 billion in economic activity and 1.4 million jobs.

While the economic impact data is specific to Meta, the findings reflect a wider trend in digital marketing: personalized engagement influences purchase decisions and brand loyalty.

Derya Matras, VP for Global Business Group at Meta, commented:

“As people want content and services that are more relevant to them, they are increasingly drawn to brands that make them feel understood.”

Maturity Model for Personalization

The report outlines a four-level maturity model to help you assess where you stand with personalization. The study links higher maturity levels with measurable business outcomes.

Level 1: Low Maturity

Data remains siloed, and messaging tends to be generic. Personalization, if present, is rule-based and limited to a few channels.

Level 2: Medium Maturity

Some systems are integrated, enabling basic audience segmentation and limited customization across channels. These organizations may also use analytics tools and consent management.

Level 3: High Maturity

Unified customer profiles and identity resolution enable greater personalization across multiple touchpoints. Predictive modeling and dynamic content are more common.

Level 4: Champion Maturity

Real-time personalization, generative AI, and clean-room tech support tailored omnichannel experiences. Teams collaborate across departments, with AI governance integrated into decisions.

Three Personalization Strategies

The study outlines three personalization strategies:

  1. Customer-based: Tailors experiences to individuals based on personal data and behavior.
  2. Cohort-based: Segments audiences based on shared traits or behaviors.
  3. Aggregated data-based: Uses anonymized, large-scale datasets to identify general trends.

The report doesn’t suggest a single best method. Instead, it offers examples to help you evaluate what fits your capabilities and goals.

Looking Ahead

For marketers assessing their next steps, the maturity framework offers a structured way to evaluate readiness across people, processes, and technology.

Rather than treating personalization as a software problem, the report frames it as a long-term shift in how organizations structure teams and manage data.

Why Your PPC Structure Should Mirror Your Business Model via @sejournal, @brookeosmundson

A lot of PPC accounts are built from the bottom up. You start with keyword research, group them by themes or match types, maybe throw in some location targeting, and go from there.

But then reporting becomes messy. Budget allocation feels random or reactive.

Then, when leadership asks for performance broken out by product line or region, you’re left pulling together a spreadsheet patchwork that still doesn’t tell the full story.

That’s because your PPC account structure doesn’t match how the business actually operates.

When your campaigns mirror your business model, everything starts working together.

You’re not just optimizing for clicks or conversions, you’re aligning with how revenue is made, who’s responsible for what, and how success is measured across the company.

This article will walk through how to shift from a keyword-centric approach to a business-aligned strategy.

Additionally, you’ll leave with practical advice for both restructuring existing accounts and building new ones the right way.

Why Structure Is More Than Just A Clean Campaign View

Let’s be honest: Campaign structure is rarely the most exciting part of PPC. But it’s one of the most important.

The way your account is structured affects everything from how you manage budgets to how clearly you can report on performance.

And yet, too many accounts are still structured around what’s easiest to set up, not what makes the most sense for the business.

If you’ve ever found yourself duplicating reports just to slice performance by business line, or struggled to isolate budgets by region, chances are the issue isn’t performance. It’s how your PPC campaigns are structured.

Well-structured accounts give you clarity, not just control. They help you:

  • Allocate budget where it matters most.
  • Tie campaign results back to business outcomes.
  • Make faster decisions with cleaner data.
  • Align with sales and finance teams instead of operating in a silo.

When your PPC structure reflects how your company makes money, your campaigns do more than drive leads or sales. They’re taking it a step further to support actual business growth.

Rethink The Starting Point By Beginning With The Business Model

Most marketers are taught to start with keyword research. But when you begin with the business model instead, you’re already thinking strategically.

Now, for agencies, this can be harder to manage because you’ve likely got someone trying to win the business, and then a completely different team going to execute on what’s agreed upon.

If you’re still in the discovery phase with a client, start by asking some of these questions:

  • What are the core revenue drivers for the business?
  • Are there different business units, product lines, or services with unique goals?
  • Do some offerings have higher margins, longer sales cycles, or different audiences?
  • Are there geographic differences in how the business operates or sells?

These answers should directly inform how your campaigns are structured.

Let’s say you’re managing PPC for a multi-location financial services brand.

Their retail checking accounts, home loans, and business banking products each serve different customers, generate revenue differently, and likely have different internal stakeholders.

Instead of grouping all financial keywords into one campaign, each of those lines should have its own campaign with distinct goals, budgets, and creative.

You can then track performance in a way that lines up with internal reporting and make adjustments based on real business priorities, not just ad metrics.

A Better Framework For Structuring Your Account

Once you have a clear picture of how the business operates, use that to inform a top-down PPC campaign structure.

Here are three starting points that typically work well.

1. Mirror The Business Unit Or P&L

If the business tracks revenue separately for each product or service line, your campaigns should reflect that.

Not only does this make budgeting easier, but it also keeps reporting clean and relevant for internal teams.

You can speak the same language as your stakeholders and clearly show how paid media supports each part of the business.

Here’s an example breakdown:

  • Campaign A: “Personal Loans | Search | US”
  • Campaign B: “Student Banking | PMax | Northeast”
  • Campaign C: “Small Business Lending | Search | Canada”

Each one can then be built with appropriate audience targeting, bidding strategies, and conversion goals.

2. Segment By Funnel Stage Or Intent

Not all keywords or users are created equal. Think about structuring campaigns around the user’s stage in the journey.

Some examples include:

  • Branded campaigns (warm leads and returning users).
  • Non-branded high-intent campaigns (ready to convert).
  • Informational or research-stage campaigns (top-of-funnel).
  • Competitor-focused campaigns (comparison shoppers).
  • Awareness-driving campaigns (creating demand).

This lets you tailor bid strategy, messaging, and landing pages to match the level of intent and measure success more appropriately.

3. Separate Testing From Scaling

Every account needs room for experimentation. But, testing new keywords, assets, or audiences shouldn’t get in the way of scaling what already works.

A good PPC structure separates out:

  • Evergreen campaigns that consistently drive results.
  • Test campaigns with new targeting, creative, or offers.
  • Seasonal or geo-specific initiatives that need short-term budget support.

This makes it easier to measure impact, allocate budget, and avoid letting unproven elements tank your top-performing campaigns.

For Existing Accounts: When To Rethink Your PPC Structure

If your campaigns have been live for a while, restructuring might feel daunting. But, sometimes a reset is the only way to make your account work smarter.

Here are a few signs it might be time to make a change:

  • You can’t easily map campaign performance back to business priorities.
  • You’re constantly building workaround reports for internal teams.
  • Budget shifts feel reactive instead of strategic.
  • Performance has plateaued, but it’s unclear why.

Before making big changes, start with an audit. Compare how the business is structured vs. how your campaigns are organized.

Are your campaigns aligned with revenue-driving units? Do you have enough control over budgets, bids, and assets for key areas?

If not, consider starting small. Choose one business unit or region and restructure those campaigns first.

Document what you changed, how it aligns with the business, and what you’re measuring. Then, repeat the process for other areas as needed.

If You’re Setting Up A New PPC Account, Here’s Where To Start

New accounts are a blank slate and a great opportunity to get it right from the beginning.

Here’s a simple approach to building a structure around your business model:

  1. Outline your revenue centers. Products, services, regions, etc. Whatever makes sense for the business.
  2. Group campaigns around these core units. Each campaign should have its own budget, goals, and audience strategy.
  3. Map audience intent to campaign type. Use ad groups or asset groups to segment further by funnel stage or user behavior.
  4. Plan for scale. Use a naming convention that can grow with the business and makes sense to anyone reviewing the account.
  5. Set conversion tracking and bidding by campaign type. Not everything should optimize toward the same goal.

This setup makes it easier to scale, test new ideas, and keep everyone from marketing to finance on the same page.

Why Alignment With Sales & Finance Is A Must

When your campaigns align with the business model, it’s easier to speak the language of the teams around you.

Sales wants to know where leads are coming from and how qualified they are. Finance wants to understand return on investment (ROI) by product line or geography.

Executives want to know if paid media is supporting growth in the right areas.

If your campaign structure mirrors the way they already think, the reporting becomes instantly more useful. You’ll spend less time explaining what a campaign does and more time discussing what it’s driving.

When performance is strong, it’s much easier to justify additional investment if you can show that spend ties directly to core business units or revenue goals.

Supporting PPC Structure With The Right Tools And Workflow

Having a smart structure on paper only goes so far. To actually execute and manage it day to day, you need systems that support clarity and consistency.

First, start with naming conventions. A standardized way of naming campaigns, ad groups, and assets helps everyone understand what each item is meant to do.

Include details like business unit, funnel stage, and region to keep things clean and scalable.

Then, align your conversion tracking setup with how the business defines success.

If you’re managing multiple product lines or customer types, don’t lump everything under one conversion goal. Set up separate conversion actions for each key area so you can measure impact more precisely.

Reporting also needs to reflect this structure. Build dashboards that slice performance by business unit, product, geography, or intent stage.

Whether you’re using Looker Studio or a different reporting suite, make sure the views match the way leadership wants to see results.

Don’t forget workflow tools and collaboration. Use shared documents or project management platforms to track which campaigns map to which business outcomes.

Make sure your internal stakeholders understand what each campaign is doing and why. This keeps cross-functional teams aligned and eliminates confusion about what paid media is actually delivering.

Finally, plan regular check-ins to ensure your structure still fits the evolving business.

As product lines shift or priorities change, your campaigns need to reflect that. Structure is not a “set it and forget it” task. Your PPC structure should evolve alongside your business.

It’s Time To Move Past Legacy Structures

Old habits die hard, especially if you’ve been in PPC for years. But, if your campaigns are still organized by match type or broad themes, you’re probably limiting what you can learn and what you can improve.

Campaigns should be built to reflect what matters most to the business.

If you’re not sure where to begin, talk to your sales or finance counterparts. They’ll give you a clearer picture of how the company thinks about performance, and you can structure campaigns to match.

This doesn’t mean throwing out everything you’ve built. But, it does mean stepping back and asking, “Does this structure actually help us measure success and allocate resources in a way that reflects how the business operates?”

If the answer is no, then it’s worth rethinking your setup.

When you take a top-down approach to structuring your campaigns, your PPC program becomes more than just a lead or sales generator. It becomes a strategic driver for the business.

More Resources:


Featured Image: SvetaZi/Shutterstock

Should Advertisers Rethink The ‘For Vs. Against’ Stance On Performance Max?

Performance Max has become one of the most talked-about campaign types in PPC for a number of reasons.

Some advertisers swear by it, while others remain skeptical, and opinions are increasingly polarized.

In reality, PMax is neither flawless nor fundamentally flawed. It is a campaign type with both advantages and drawbacks, and deciding whether to use it requires nuance.

Before taking a “for or against” stance, consider how PMax evolved, why the industry is divided, and when this campaign type makes strategic sense.

Starting at the beginning, let’s look into where this evolved from.

A Brief Timeline On PMax

Google officially launched Performance Max in late 2021, a milestone in terms of automation in Google Ads.

By 2022, it had effectively absorbed Smart Shopping and Local campaigns, consolidating multiple ad networks and formats into one unified solution.

The reason this change marked a major shift in PPC strategy was that advertisers no longer had to manage separate campaigns for each channel (in theory).

Adoption of PMax was rapid, in part because Google’s transition forced the issue.

Smart Shopping campaigns were auto-upgraded to PMax, so many advertisers found themselves using PMax whether they planned to or not.

By mid-2024, PMax accounted for ~82% of Google advertising spend within retail alone, and the simplicity of PMax began making waves with smaller advertisers.

In a relatively short space of time, this momentum signaled that PMax was not a niche experiment or small change by Google, but a mainstream part of the ecosystem that signified the direction in which Google Ads is going.

Back when PMax launched, there were expected growing pains. The lack of transparency and many controls advertisers were used to over decades of managing PPC were essentially removed, and the term “black box” became widely used for this campaign type.

Was this fair? In my opinion, at launch, yes.

Campaign management went from having complete control over search queries, ad networks, auctions, etc, to a five-step process:

  1. Choose an objective.
  2. Choose a conversion goal.
  3. Create the campaign.
  4. Create the asset group/s.
  5. Finalize and launch.

Then, where the real grunt work with optimization sets in post-launch, advertisers were simply told to leave the campaign to gather data, not knowing where their ads served, how their budget was apportioned, and more.

Advertisers essentially handed the keys to Google’s AI without the usual levers to guide it. For years, PPC professionals had built careers on meticulous campaign control, and it was gone.

However, over the past three years, PMax has changed considerably, with Google addressing some key concerns raised by advertisers.

Google added a selection of reports and control features that didn’t exist in 2022, including features like search term insights, asset group reporting, and brand exclusions.

Some of these updates feel like genuine concessions to give advertisers more transparency and control, but within the world of PPC, it’s felt that it’s still not enough.

Despite these improvements, opinions remain split, largely because the fundamental trade-off of PMax (automation vs. control) still exists.

To understand the divide, let’s look at both sides of the argument.

The Case ‘For’ Performance Max

Simplified Cross-Channel Reach

Instead of siloed Search, Display, Shopping, and YouTube campaigns, PMax’s machine learning decides where to show ads to best meet your goals (in the words of Google).

For resource-strapped teams, the convenience of an all-in-one campaign is attractive as it significantly reduces the complexity of managing multiple campaigns.

Here are a couple of cases:

  • SME with a single person heading up marketing: PMax fits the brief as it allows them to remove the complexity of managing PPC and allows them to enter auctions across multiple networks without the need for external help or an internal hire.
  • Multinational with a 10-person digital team: PMax can plug gaps or test new markets with minimal setup. The team can still maintain control over core campaigns where channel-specific insights, custom bidding strategies, and creative testing are essential, but PMax allows them to expand and test the waters quickly.

Automation And Efficiency

Data signals and algorithms adjust bids in real time and find the right audience for your ads across channels.

This isn’t new (think automated bidding). However, PMax is advertising across multiple ad networks.

There are plenty of case studies out there showing how automation improved performance, one in particular where Google highlighted a case where a Latin American travel company, AssistCard, saw a 15x higher conversion rate and 40% lower CPA in PMax vs. similar campaigns without it.

When set up properly, PMax’s automation can efficiently drive performance in ways manual tweaks might miss by building out each campaign in silo, and as ever, it depends on the case at hand.

Reach And Testing

Because PMax has wide latitude to find conversions anywhere on Google, it can rapidly scale campaigns that are doing well.

If your offer and creative are effective, PMax will seek out all available inventory to get in front of relevant users.

It’s also a useful way to test new channels, e.g., if you’ve never tried YouTube or Display, PMax will allocate some spend there and let you see how those channels perform as part of a blended campaign.

You can then review performance via the channel performance report or one of the many scripts available online.

The hands-off nature of PMax appeals to advertisers who want to uncover new opportunities without heavy lifting on their part.

Low Barriers To Entry

The simplicity of PMax can lower the barrier to entry for advertisers without dedicated PPC teams or external support.

Instead of learning the ins and outs of feeds, keywords, bids, and multiple campaign types, a business can input its goals and creative assets, then hand off to Google to do the rest.

In essence, PMax offers plug-and-play advertising that aligns with limited time and expertise, whilst boasting strong results for brands of all sizes.

Continuous Innovation

Google is heavily invested in PMax. Just look at the journey advertisers have been on over the last three years with PMax and where we are now with regards to features, reporting, and optimization.

Google’s SVP & Chief Business Officer Philipp Schindler states in 2022 that “we’re very, very committed to helping Performance Max deliver for our advertisers and have been very open to advertiser feedback how we can do this.”

Over the last decade, there has not been a campaign type/feature that has received this level of investment. This commitment is part of the reason why PMax now accounts for nearly 82% of all retail Google Ads spend in 2025.

So, where does the scepticism come from if it’s such a key part of advertising strategies? Let’s get into that.

The Case ‘Against’ Performance Max

Loss Of Control Over Targeting & Bidding

Handing over targeting and bidding decisions to Google is a bitter pill for seasoned PPC professionals.

With PMax, you can’t choose specific keywords or placements; Google’s AI decides when and where your ads show.

Advertisers effectively relinquish the levers they normally use to steer campaigns, and there are two ways to look at this:

  • “How do I know where my budget is being spent and what is working/isn’t?”
  • “How can I scale spend and optimise performance without the data?”

As much as PMax now has features to see performance down to a certain level of detail, it’s still not enough to grasp control of media spend and make actionable changes based on the queries and audiences the ads are being served to.

Limited Data And Reporting

Data is the heart of PPC and has been from the start.

Take search terms, visibility through PMax is still limited with broad “search category” insights rather than the exact queries users searched.

Cross-network reporting also lacks depth. Combined results from Search, Display, YouTube, etc., make it hard to break out performance by channel or asset in a meaningful narrative that can be translated into short-term optimizations and long-term strategy.

Although Google has added some reporting improvements, advertisers still don’t get the full picture, which can be frustrating when sharing performance updates to teams, management, or clients.

Transparency & Brand Safety Concerns

PMax decides how budget is allocated across channels and audiences, with advertisers having only a snapshot view of where the budget is going.

For example, a retail PMax campaign might be spending heavily on dynamic retargeting or branded searches (which can be negated using the request form, but, in my experience is not always a guarantee that brand will stop serving in ad auctions). It raises the question: Is PMax really driving new incremental customers or just capturing easy wins?

Alongside this, advertisers have auto-generated assets, enhanced images, AI-suggested copy, and more to deal with when managing their campaigns.

Features like this add layers of complexity when deciding whether or not to use PMax. Sectors, such as luxury fashion with strict brand guidelines, simply cannot give creative freedom to Google when advertising on networks as vast as GDN.

Cannibalization Of Other Campaigns

Running PMax alongside traditional campaigns has historically been tricky.

When PMax first launched, it was a bit of a blurred area with which campaigns would take priority when factoring in standard Search or Shopping campaigns for the same products/audiences.

Google has now shared the details on this, stating that PMax and standard Shopping can compete more evenly based on ad rank and that PMax will not override shopping; both will enter auctions that are eligible for, and the ad rank will determine which shows.

Aside from the auction, there are other factors involved in running a portfolio of campaign types, such as search query overlap, where advertisers have to define queries between campaigns.

This isn’t anything new, but the process of negating queries for PMax is more convoluted than adding negative keywords to search or shopping.

Inconsistency And Unproven For All Cases

If you’ve followed the narrative surrounding PMax, you’ll have read that it works great for some advertisers and is diabolical for others.

Post launch, some advertisers simply found that their carefully optimized standard campaigns outperformed PMax.

For instance, one industry analysis noted that PMax conversion rates in late 2024 were slightly lower (about 2%) than those of standard Shopping campaigns.

Others found that moving to a fully automated solution actually delivered uplifts in performance, with Google stating an average increase in revenue of 27% vs. non-PMax.

This uncertainty makes risk-averse advertisers inclined to stick with what they know. Others, who are more open to experimentation, treat PMax as a testing ground and embrace automation when it proves its value.

Moving Beyond A Polarized View

In reality, the truth about Performance Max lies somewhere in the middle.

Rather than asking, “Should we use PMax or not?” a better question is, “In what scenarios does PMax make sense for us?” Framing it as simply good or bad is too simplistic.

As with most marketing strategies, whether PMax is right for you depends on context, your business, goals, and resources.

Business Objectives

What are you trying to achieve? If your goal is broad reach and top-line conversion growth, PMax’s all-channel approach could align well.

It could efficiently drive online sales or leads when you aren’t as concerned with a specific channel mix.

On the other hand, if your goals require tight control (e.g., a precise cost per acquisition target for a niche B2B product or a brand that can only serve on very specific ad auctions), you might favor more hands-on campaigns.

Ensure PMax’s optimization style matches your KPIs and tolerance for how those results are achieved.

Resource & Expertise

Do you have a team that can manage campaigns or a portfolio of campaigns, or do you need an automated solution without heavy lifting?

A lean organization with limited PPC staff may benefit from PMax handling the heavy lifting across channels.

Conversely, a large team or agency with deep expertise might squeeze more performance from manual control in Search or Shopping campaigns.

Also, consider the tools at your disposal. If you have sophisticated in-house data and optimization systems, you might not want to relinquish control to Google’s black box.

Data And Tracking Requirements

Advertisers with strict data requirements (for example, those who need to see every search query for compliance or want to segment performance by niche audiences) will struggle with PMax’s opacity.

If full transparency is non-negotiable, PMax may not be a fit for those campaigns.

However, if you can work with modeled and aggregate data, and you measure success on bottom-line results, PMax’s data limitations might be acceptable.

Personal And Organizational Appetite For Change

Companies vary in how they adopt new technology. Some are innovators or early adopters who eagerly try new Google features; others are late adopters or even laggards who resist change.

This human factor shapes PMax opinions.

If your organization values being on the cutting edge (and can tolerate some volatility), you may have leaned toward giving PMax a shot early.

If your culture is very risk-averse, you might have held off until there’s more industry-wide proof and Google has ironed out the kinks.

Neither approach is “wrong,” but it should be a conscious strategic choice rather than a knee-jerk stance.

Summary: A Strategic Middle Ground

In some cases, the optimal approach could be a hybrid.

For example, some advertisers run Performance Max alongside standard Search or Shopping campaigns and find a balance that works.

You might use PMax to cover certain areas (like display retargeting, non-brand terms with controlled exclusions, etc.) while still running dedicated campaigns for core products or certain keywords where you need more control.

Google has been listening to advertisers and agencies, with ongoing updates allowing PMax and traditional campaigns to coexist more harmoniously (no more automatic overriding of standard campaigns).

This opens the door to a nuanced account strategy that leverages PMax where it excels and uses other tactics where they’re stronger.

A mix-and-match strategy could outperform an all-or-nothing approach, or it might be one over the other; it’s just something you wouldn’t know without testing.

PMax today is more flexible than PMax three years ago.

As Google continues to refine the platform, some of the early drawbacks are being mitigated.

Advertisers who were against PMax due to a specific missing feature may find that the issue has since been addressed.

This is why it’s worth continuously re-evaluating your stance and testing on a case-by-case basis.

More Resources:


Featured Image: Roman Samborskyi/Shutterstock

Why Google Ads Fails B2B (And How to Fix It)

This post was sponsored by Vehnta. The opinions expressed in this article are the sponsor’s own.

Why isn’t Google Ads working for my B2B marketing campaigns?

How do I improve lead quality in B2B Google Ads campaigns?

What’s the best way to scale Account-Based Marketing (ABM) using Google Ads?

The good news: Google Ads isn’t broken in B2B; it’s just being used wrong.

The platform works brilliantly for consumer brands because their strategies align with consumer behavior, but B2B operates in an entirely different universe with complex buying journeys involving multiple stakeholders.

This guide will help you modify Google Ads to perform better for B2B paid marketing campaigns.

Issue 1: AI Automation Optimizes For The Wrong B2B Objectives

Google’s AI-powered automation creates the biggest challenge for you at this time.

Why? The actions that signal customer engagement for Google Ads do not align with how B2B shoppers behave, leading to incorrect AI analysis of and actions taken on B2B ad success.

For example:

  • Performance Max campaigns optimize for volume conversions rather than quality opportunities, resulting in a doubling of lead volume while halving lead quality.
  • Google Smart Bidding tends to attract users who are likely to take lightweight actions, such as downloads or sign-ups; these actions are unlikely to result in qualified B2B buyers, leading to low-value conversions and wasted spend.

How To Fix Google Ad AI’s Misalignment For B2B PPC

Phase 1: Implement Strategic AI Controls

  1. Disable automatic audience expansion in Search campaigns to maintain targeting precision.
  2. Use Target ROAS instead of Target CPA, setting values based on actual customer lifetime value.
  3. Create separate campaigns for different buying stages with stage-appropriate conversion goals.
  4. Start Performance Max with limited budgets (20-30% of total spend) until optimization stabilizes.

Phase 2: Configure B2B-Specific Signals

  1. Upload customer lists with consistent firmographic data as audience signals.
  2. Set up similar audiences based on highest-value customers, not highest-converting leads.
  3. Monitor search terms weekly and add negatives aggressively.
  4. Use custom conversion goals weighted toward pipeline contribution, not form submissions.

The Easy Way

Vehnta accelerates campaign optimization, enabling precise targeting and performance tracking across your entire B2B account list.

With its Similarity feature and AI-powered Keyword & Ad Generator, you can create high-performing, B2B-optimized campaigns in minutes, avoiding wasted spend on low-value conversions.

Insights are available from day one, and campaigns can be optimized manually or with AI. Plus, with seamless Google Ads integration and automated multilingual message diversification at scale, Vehnta lets you go to market faster and more effectively.

What You Get

  • Faster launch cycles.
  • More qualified leads.
  • Better performance.
  • Scalable impact. without the usual manual overhead.

Campaigns are built on intelligent targeting and high-quality inputs, so optimization starts smart and improves from there.

The Result

  • Reduced wasted budget on low-value conversions like downloads or sign-ups.
  • Focused paid ad spend on high-intent, high-fit prospects.

Issue 2: Generic Targeting Wastes Budget On Wrong Audiences

Most B2B campaigns tend to target broad demographics rather than specific firmographics, resulting in wasted spend on prospects that are a poor fit.

Traditional metrics create a “metrics mirage” where campaigns focused on clicks draw unqualified leads instead of high-intent decision-makers.

Additionally, broad messaging often fails to resonate across diverse markets, whereas precise targeting is effective at scale.

One multinational retailer with 500+ locations across four countries cut costs by 60% and tripled engagement by implementing hyper-local, multilingual campaigns tailored to specific regions.

How To Fix PPC Ad Targeting Waste

Phase 1: Implement Firmographic Precision

Phase 2: Configure Account-Level Monitoring

  • Set up cross-domain tracking to monitor multiple touchpoints from the same organization.
  • Use UTM parameters with company identifiers to track organizational buying patterns.
  • Create audiences based on account-level engagement patterns.

The Easy Way

Vehnta’s Similarity engine leverages a 500M+ company database to identify prospects that match your best customers with surgical precision.

Simply:

  1. Insert one or more existing customers or your Ideal Customer Profile (ICP) into the Similarity Engine.
  2. The Similarty Engine analyzes economic data, industry sectors, and semantic relevance to find similar companies.

This approach makes targeting 10x faster than manual audience research.

Additionally, it provides precision that extends far beyond basic lookalike audiences.

Then, the Search Terms feature provides full visibility into searches performed by your target audience, organized by company and location for actionable insights.

What You Get

  • A radically faster, more precise way to build high-value target lists.
  • Prospect lists that closely mirror your best customers, aligned to your ICP from day one.
  • Full visibility into the actual search behavior of those companies.

The Result

  • Smarter segmentation.
  • Faster activation.
  • Better-performing campaigns fueled by insight, not assumptions.

Issue 3: Marketing/Sales Alignment Problems

B2C metrics fail to capture the complexity of B2B interactions, resulting in a fundamental disconnect between marketing activities and sales outcomes.

Most B2B marketing teams operate under the myth that success requires high lead volumes, but this creates qualification bottlenecks since most B2B sales teams can effectively pursue only a few qualified opportunities simultaneously.

This quality-over-quantity approach delivers results: an enterprise SaaS provider targeting only $1B+ companies achieved 70% cost reduction and 3x engagement by focusing on ultra-precise targeting aligned with sales capacity.

Steps to Fix Marketing/Sales Misalignment

Align Campaigns with Sales Capacity

  • Calculate your sales team’s true capacity for working on qualified opportunities.
  • Set monthly lead generation goals that align with sales capacity, rather than arbitrary growth targets.
  • Develop lead scoring systems that qualify prospects before they reach the sales team.
  • Implement progressive profiling to gather firmographic information during conversion.

Optimize for Opportunity Quality

The Easy Way

Vehnta’s Insight Collection provides real-time business intelligence that automatically qualifies prospects, focusing on high-quality opportunities from pre-qualified target companies instead of generating hundreds of unqualified leads monthly.

The VisionSphere function provides a ranked list of companies most interested in your business, calculated by proprietary algorithms reflecting genuine buying interest.

What You Get

  • Consistently higher-quality pipeline, driven by real-time insight into which companies actually show buying intent.
  • Focused efforts on prospects that are already aligned with your offering.
  • A ranked view of interested accounts.
  • Clarity on where to prioritize and when to engage.
  • More efficient sales motions.
  • Stronger conversion rates.
  • Faster deal velocity.

All the intelligence you need, without the noise.

Issue 4: Scalability Of ABM Approaches

The challenge of scaling Account-Based Marketing through Google Ads lies in managing hundreds of target accounts while maintaining surgical precision.

Traditional ABM approaches require significant manual effort and dedicated specialists, making it difficult to achieve scale without compromising quality.

However, this complexity can be overcome: a global manufacturer targeting 4,000+ plant locations reduced spend from $160K to $40K while generating 2.5x more qualified leads through automated ABM systems.

How To Fix Account-Based Marketing (ABM) Scalability

Phase 1: Implement Automated Account Intelligence

  • Use advanced similarity algorithms to identify high-value prospects matching your best customers.
  • Automate audience research and list-building processes that typically consume weeks of specialist time.
  • Deploy AI-powered campaign creation that generates optimized targeting in minutes.
  • Set up automated monitoring across hundreds of target accounts without additional team members.

Phase 2 Create Scalable Precision Systems

  • Build campaigns that automatically diversify messaging across multiple languages.
  • Implement systems providing full visibility into search behavior across target companies.
  • Use proprietary algorithms to rank companies by genuine buying interest.
  • Deploy real-time optimization eliminating manual analysis while maintaining quality.

The Easy Way

Vehnta accelerates campaign execution through a truly scalable ABM approach, enabling accurate targeting and real-time performance tracking across your entire B2B account list.

Integrated AI Campaign Generation allows marketers to generate highly relevant, B2B-tailored campaigns in minutes, not days, while minimizing budget waste on low-intent traffic. From day one, teams gain access to actionable insights and can fine-tune performance manually or through automated optimization.

Thanks to seamless Google Ads integration and automated multilingual message diversification at scale, Vehnta eliminates the operational friction that often stalls ABM at the execution phase.

What you get: ABM that finally matches the speed and scale of your growth ambitions, without the typical overhead. Campaigns go live faster, reach the right accounts with precision, and continuously improve through data-driven optimization. Marketing teams save time, reduce costs, and drive more qualified pipeline, while maintaining control and strategic clarity. The complexity is gone; the impact remains.

The Strategic Transformation: From Volume to Value

The transformation from failing to succeeding with B2B Google Ads requires fundamentally rethinking how paid search fits into complex, multi-stakeholder B2B sales processes. Companies achieving breakthrough results abandon volume-based B2C tactics for precision-focused, account-based strategies that create budget efficiency and market dominance within targeted segments.

The competitive opportunity is significant: while competitors chase high-volume keywords and vanity metrics, strategic B2B marketers focus on qualified accounts and pipeline impact using advanced targeting intelligence and automated optimization systems.

Ready to transform your B2B Google Ads approach?

Discover how Vehnta works and achieve precision at scale—cut costs, improve targeting, and align every campaign with how your customers actually buy.

Book a demo: boost leads, cut costs.

Image Credits

Featured Image: Image by Vehnta. Used with permission.

Google Launches Offerwall To Expand Monetization Options via @sejournal, @MattGSouthern

Google has launched Offerwall, a new feature in Google Ad Manager designed to help publishers diversify their revenue beyond traditional ads.

The tool, now generally available after testing with over 1,000 publishers, allows audiences to choose how they access content, including watching short ads, completing surveys, or making micro payments.

According to Google, early adopters of Offerwall have seen an average revenue increase of 9%

A Response to Changing Publisher Needs

Peentoo Patel, Product Director at Google Ad Manager, says in an announcement:

“For years, our publishing partners have asked for more and different ways to monetize their content beyond traditional ads.”

Offerwall gives audiences more control over how they engage with content, while providing publishers with additional monetization paths.

Key Capabilities of Offerwall

Offerwall includes several features aimed at helping publishers implement flexible monetization strategies:

  • Multiple Access Options: Audiences can access content by choosing from short ads, micro payments, interest-based surveys, or other publisher-defined methods.
  • Custom Integrations: Publishers can add their own access models, such as newsletter sign-ups or subscription trials.
  • Rewarded Ads: A familiar model for users who prefer to watch an ad in exchange for content access.
  • Survey Access: Completing a survey grants access while providing publishers with valuable audience insights.
  • Supertab Payment Integration (Beta): Enables single-use payments or subscriptions.
  • Optimize (AI-Driven Timing): Uses AI to determine the ideal moment to present the Offerwall, aiming to maximize engagement and revenue.

Here’s an example of what you might see on a publisher’s site when they use Offerwall:

Screenshot from: blog.google/products/ads-commerce/offerwall-gives-publishers-more-options-audiences-more-control/, June 2025.

Focus On Small Publishers

Google highlighted Offerwall’s potential benefits for smaller publishers, who may lack the development resources to build custom paywalls or alternative monetization systems.

Offerwall provides these tools with minimal setup, integrated directly into Google Ad Manager.

This could help close the resource gap between large and small media businesses by making diversified monetization models more accessible.

Implementation & Strategy

For publishers already using Google Ad Manager, Offerwall can be integrated with existing workflows.

The tool’s flexibility allows for gradual experimentation. You can start with basic rewarded ads or surveys and expand into micro payments or subscriptions as user behavior data accumulates.

The Optimize feature may also reduce friction in testing by automating decision-making about when to present monetization options.

Looking Ahead

The introduction of Offerwall underscores a broader shift in digital publishing. As privacy regulations evolve and traditional ad models face pressure, publishers are exploring new ways to monetize their content without compromising the user experience.

Marketers working with publisher partners may need to adapt to new engagement patterns and evaluate how Offerwall could affect campaign performance and analytics.

Offerwall is now available to all publishers through Google Ad Manager.


Featured Image: Roman Samborskyi/Shutterstock

How CMOs Can Use Conversion Tracking & Attribution For Smarter Paid Media Strategy via @sejournal, @MenachemAni

For chief marketing officers of retail brands and businesses, knowing which channels and campaigns deserve the marketing budget can directly impact the success and length of their tenure.

But in today’s omnichannel environment of walled gardens, customers engage with your campaigns (and other assets) multiple times before converting.

Since there is no perfect conversion tracking or attribution, you need a system to decide where to spend your money.

Too many marketers still rely on outdated or overly complex attribution models, incomplete data, or pure guesswork.

Common side effects include over-investing in either the upper or lower funnel, while underfunding channels and campaigns that balance demand generation and demand capture.

In this article, we’ll break down how CMOs and marketing leaders can use conversion tracking and attribution data to:

  • Understand true channel performance.
  • Make better budget decisions.
  • Improve full-funnel efficiency.

Conversion Tracking In Google Ads: Limitations & Blind Spots

Running a Google Ads or paid media campaign without native conversion tracking is asking for trouble.

Not only will your account operate with blinders that prevent the system from finding improvements and patterns, but you won’t also have any in-platform metrics to measure your own database against.

I also see some accounts can take several weeks for reporting data to be attributed fully, primarily because of the click-to-purchase duration.

Google may not be fully accurate with all metrics, but you want it to understand what actions are meaningful to your business.

Lead Generation

  • Online conversion actions: form fill, chat, phone call.
  • Offline conversion stages: qualified lead, converted lead.
  • Support tools: WhatConverts, HubSpot, or other CRM to track lead data + Zapier for connectivity.

With leads, there is a challenge in terms of reconciling what is recorded online and what happens outside of the Google ecosystem.

Google’s system knows it got you a certain number of form fills, chats, or calls. It needs to know how many of those were good quality leads. How many of those went on to become actual sales?

That would lead you to create a “next step” in the process, such as qualified leads, and feed this back into Google. You can also then bid against those or use them as observations, but they will be in the system as a positive funnel event.

Read more: Building A Lead Generation Plan

Ecommerce

  • Online conversion actions: purchase, add to cart.
  • Offline conversion stages: subscriber, repeat buyer.
  • Support tools: Shopify to track returns, exchanges, etc.

For ecommerce, it’s typically a lot simpler to track the right events, but it’s trickier to rate their value to the business.

Google can record purchase transactions as an event, but it lacks your backend data on which locations have the fewest returns or exchanges, which products lead to higher rates of subscription and repeat purchases, and what each product’s margin is.

If you’re using Shopify, they have a Google and YouTube app that does pretty much all the heavy lifting you need to do to link the two platforms and track ecommerce sales.

How To Use Performance Data To Fuel Better Marketing Investments

“I know which channels and campaigns are providing the best ROI” is verbal gold for a CMO.

Being able to quantify the impact of where they spend their marketing budget positions them to make smarter decisions and increase their value to the business that employs them.

Unfortunately, this is easier said than done. Here are some ways to think through the more common hurdles that get in your way as a marketing leader.

Thinking Through In-Platform Attribution

Once you set up tracking and make sure you’re getting good performance data in, you can use it to inform attribution and omnichannel strategy.

My methodology is different from how many marketers approach this. I’m of the mind that attribution is not something that can be fully solved, and over-relying on third-party tools will set you in the wrong direction because they all have different biases.

Certain tools can’t see the actual power of YouTube, for example.

One study by Haus showed that YouTube in-platform reporting is three times less than what they see. So many third-party attribution tools can’t see view-through or engagement data for YouTube, so they end up with a higher-than-ideal margin of error on the reporting.

Some other tools can see the click and view attribution for Meta, but only click attribution for Google. What I like to do is optimize each campaign in-platform based on that platform’s data.

Handling Conflicting Attribution Data

When we come across situations where different platforms show us conflicting attribution data, we use overall sales reports and tools like TripleWhale or Northbeam to help validate that data.

This helps us understand directionally, if we put another 20% of our budget into a specific campaign type, how does that impact the overall revenue?

It’s really about looking at blended numbers – some people call it media efficiency rate (MER) or blended return on ad spend (ROAS) – to see how that data changes over time with different campaign and marketing changes.

We use this to allocate budget according to what really moves the needle as far as revenue and profit are concerned. This is much better than just relying on what a platform tells you.

With lead generation, this is less of a problem because most lead form fills happen pretty quickly after the initial click.

If the user submits the form on the same page they landed on, you will very likely capture UTM and GCLID parameters.

For lead gen, we typically look to verify that the number of leads in the customer relationship management (CRM) is within 10% of what Google attributes to itself.

Point Of Diminishing Returns: Why All Growth Stalls

One thing many people forget is that with visibility and success in digital advertising, you pay a price in terms of incremental headroom.

In other words, you have much more untapped opportunity at 30% impression share than you do at 85%. Getting from 30% to 85% is going to probably be much less expensive than going from 85% to 90%.

If you look at Google Ads’ own attribution, there’s a finite amount of headroom with Search and Shopping.

Once you hit the top of that, it usually tapers off somewhere between 70-80%, and you’ve got to start finding other campaigns/platforms to start feeding the funnel. That could be other Google properties (like YouTube) or channels like Facebook, Instagram, or TikTok.

Fortunately, Google is now starting the rollout to show you this data for Performance Max in addition to Search and Shopping. This means you can take advantage of benefits like finding new advertising opportunities while still applying optimization tactics that you’re used to.

The other thing that’s really important, especially for newer advertisers, is not to expect the same performance from every campaign type.

People who have been around the block in PPC know, for example, that a 5x ROAS on branded search is realistic, but for YouTube, it might be 1x or even less.

You need to be okay with that, as long as you can get all the numbers to line up in terms of your total costs versus total revenue and margin.

Good Strategy Is Always Built On Clear Business Goals

Conversion tracking and attribution are essential parts of the CMO toolkit, but they mean little without the skill and literacy to interpret performance data in the context of a business.

If we were to sum up the most important part of this thought process, it would be:

  • Native platform tracking is crucial, but it’s only one part of the puzzle. Feed meaningful business outcomes back to the ad platforms to improve performance over time.
  • No attribution model is perfect. Treat attribution as directional rather than as an absolute, and be cautious about over-relying on third-party insights as they have their own blind spots.
  • Use blended metrics and cross-platform validation to make strategic choices based on actual business needs and financial goals, not just the metrics that one channel reports.
  • Recognize diminishing returns as you scale inside one platform and diversify intelligently across multiple channels to maintain growth.

Ultimately, your ability to optimize campaigns hinges on a central, unbiased source of truth that isn’t influenced by the incentives of any single ad platform.

Google or Meta are businesses built to serve their own business objectives and those of their shareholders, which don’t always align with those of your business.

By owning your data and attribution strategy, you set your brand up to make smarter, more confident marketing investments instead of pinning all your hopes on a long shot that’s rarely (if ever) accurate.

More Resources:


Featured Image: voronaman/Shutterstock

Why Brand Advertising Matters For Paid Media Performance via @sejournal, @iambenwood

The twin forces of disrupted attribution and changing user behavior are reshaping how audiences discover brands.

Google’s mass rollout of AI Overviews and its experimental AI Mode are not surface-level UX tweaks; they represent a fundamental transformation of the search experience – one that compresses the journey from query to answer.

PPC is now a more competitive, constrained, and less predictable environment.

If Google is effectively skipping traditional landing pages in certain query classes, by serving direct answers, the margin for interrupting or influencing a user shrinks dramatically.

If you are not building a brand that people proactively seek out – or that AI systems actively reference – you are playing an increasingly expensive, inefficient game.

Brand Advertising Isn’t Brand Bidding

First, let’s define the terms clearly, as this distinction is often misunderstood in performance marketing circles.

Brand advertising refers to any paid activity designed to build awareness, familiarity, and positive association with your brand.

The primary objective isn’t immediate conversion; it’s to create a demand and a pipeline that your lower-funnel activities can later capture.

By contrast, brand bidding occurs when someone already knows your brand and actively searches for it.

Bidding on your own brand terms in Google Ads or Bing ensures you’re visible when that existing demand materialises – but it’s harvesting, not creating demand.

Brand advertising builds the mental availability that ensures your brand is considered when a user enters a buying journey. Brand bidding simply captures people who were already predisposed to choose you.

Both are important, but confusing the two leads to systemic underinvestment in activities that generate future growth.

In longer buying cycles, particularly in B2B, high-ticket B2C, and considered-purchase categories, persistent brand presence is critical.

Research from the Ehrenberg-Bass Institute consistently shows that memory structures built over time have a powerful impact on future buying decisions.

Furthermore, research points to the fact that if you’re not already on someone’s shortlist before they start looking for a solution, you’re unlikely to be chosen vs. those brands who are.

The day one list diagramImage from author (research by Google x Bain Consulting), April 2025

When the balance between brand and performance activity is right, each amplifies the other, creating what is called the Multiplier Effect, a virtuous cycle where brand-driven demand lowers cost-per-acquisition (CPA), improves Quality Scores, and enhances overall media efficiency.

The Advertising ‘Doom Loop’

Despite its proven impact, brand advertising remains chronically underfunded in performance-led organisations. Why?

In part, because it doesn’t fit neatly into short-term attribution models. Brand activity often influences outcomes weeks or months later, in ways that are difficult to measure through traditional last-click frameworks.

This measurement gap creates what WARC calls the “Advertising Doom Loop.” Here’s how it unfolds:

  1. Advertisers focus disproportionately on easily measurable performance channels, such as paid search.
  2. Brand-building budgets are cut because they lack immediate, attributable return on investment (ROI) in platforms like Google Analytics 4.
  3. As brand equity erodes, acquisition costs rise and conversion rates fall.
  4. To compensate, advertisers double down on short-term tactics, further starving brand investment.
  5. The cycle repeats, gradually eroding long-term growth potential.

This loop is not theoretical. It’s been observed repeatedly across sectors and is backed by large-scale research studies and documented in a recent WARC study.

The brands that escape the doom loop understand that marketing is interconnected.

Short-term sales activation delivers immediate returns, but brand building provides compound growth over time, lowering customer acquisition costs (CACs), increasing customer loyalty, and insulating against category volatility.

Ignoring brand advertising might look efficient quarter-to-quarter, but over a multi-year horizon, it is a recipe for brand decline.

Why Brand Interest Is Your Most Defensible Asset

In a world of AI-curated answers and zero-click behavior, one channel remains relatively stable: branded search interest.

When a user types your name, your product, or your branded category term into Google, you control the narrative. These searches are:

  • Cheaper than competitive generic terms.
  • Higher converting, often by a factor of 2x or more.
  • Less vulnerable to displacement by AI Overviews, as of current observation (which still reference brand entities prominently).

At Hallam, we’ve seen this play out across multiple paid search accounts.

Brands with stronger brand search volumes and higher unaided awareness consistently achieve lower CPAs, better Quality Scores, and more efficient media performance across both search and display.

Graph showing impact on branded clicks from running brand advertising campaignsThe impact of running brand advertising campaigns on search demand and clicks for one of our clients (Image from author, April 2025)

This shows the compounding value that brand equity brings to lower-funnel paid media campaigns.

Measurement Solutions

One of the biggest challenges performance marketers face today is how to measure the impact of brand campaigns.

Marketers must treat brand search volume, direct traffic trends, and assisted conversions as leading indicators of paid media effectiveness.

If your top-of-funnel strategy includes YouTube, connected TV, or programmatic display, shifts in these upstream metrics are early signals of success, even before conversions materialize.

For example, metrics that directly track interest in your brand, such as share of search, have been proven to be leading indicators of market share.

Moreover, investment in econometric modeling, brand uplift studies, and incrementality testing will become critical tools for understanding the true impact of marketing spend and providing a holistic view of performance as we move into the future.

When And How To Get Started

If paid search is becoming more competitive and less reliable for visibility, the logical response is to rebalance your media mix, and that starts with brand.

1. Run Paid Media To Uplift Brand Search Volume

Don’t just optimize for direct conversions. Optimize for subsequent branded search. YouTube, connected TV, and upper-funnel Meta campaigns can all drive brand interest that pays off later through more efficient search activity.

Tracking this means looking beyond last-click. Use view-through conversions, uplift studies, and brand search volume trends to measure the impact.

2. Invest In Non-Google Surfaces

A diversified paid media strategy is no longer a nice-to-have; it’s essential. That includes:

  • YouTube Shorts and creator content to build brand relevance.
  • Programmatic display and native ads on publisher sites may support discoverability
  • Paid partnerships and sponsorships that build reputation across the web.

These touchpoints feed awareness, and could also contribute to the knowledge graph and large language models (LLMs).

3. Align PPC With SEO To Influence AI Outputs

Yes, SEO still plays a role, but performance marketers should work alongside organic teams to ensure:

  • Branded pages are structured correctly for AI inclusion.
  • Top-performing PPC assets (e.g., headlines, product descriptions) are reflected in organic content.
  • Messaging consistency across paid and organic channels supports brand memorability.

Final Thoughts

Clicks are now harder to win. Impressions are becoming more expensive. And digital attribution data is increasingly unreliable.

In this environment, the brands that thrive will be the ones that people search for by name, that AI references unprompted, and that exist in the user’s mind long before they type anything at all.

That doesn’t happen by accident. It happens when paid media stops acting like a demand-harvesting function and starts behaving like a brand growth engine.

More Resources:


Featured Image: Master1305/Shutterstock

Ultimate PPC Campaign Optimization: 6 New Ways To Easily Run Dozens Of PPC Campaigns For Different Sectors via @sejournal, @CallRail

Tip #1. Boost Relevance: Use Industry-Specific Conversion Signals To Customize Google Ads Messaging

Increasing clicks is as easy as increasing how relevant your ads are to your potential customers.

Sounds easy, but when you’re managing different brands, many industries, or multiple brick-and-mortar locations, it can quickly become difficult to understand exactly what each individual person needs.

What’s New That You Should Change & Try

Google Ads Responsive Search Ads and Assets (Structured Snippets) now allow faster VOC-driven testing.

Voice-of-customer (VOC) insights from tools like CallRail reveal what customers actually say before converting.

Now, you can use this real language to supercharge your ad messaging.

Is This Change Worth It?

Yes.

When you align your ad messaging with what your customers actually say, you boost ad relevance, increase clickthrough rates, and lower your cost per lead by matching real search intent.

You’ll see:

  • Higher relevance: This is crucial in paid advertising is critical because it directly impacts three major outcomes: cost, performance, and customer experience.
  • Lower Costs: Ad platforms like Google Ads reward high relevance with better quality scores, which can lower your cost per click (CPC) and help you win better ad placements without paying a premium.
  • Higher Engagement: When your ads match exactly what users are searching for or thinking about, you naturally boost clickthrough rates (CTR) because the ad feels more useful and timely.
  • Better Conversion Rates: Relevant ads lead to more qualified traffic, meaning users are more likely to take action once they land on your site, whether that’s calling, booking, or buying.
  • Improved Brand Trust: Ads that clearly resonate with real customer language and needs feel authentic, which strengthens brand credibility over time.

Which Industries Benefit Most From This PPC Engagement Boosting Technique?

  • Legal Services: Top keywords we’ve identified for you are [free consult] & [local attorney]
  • Home Services: [emergency repair] & [same-day service] are great seed keywords for this industry.
  • Medical/Dental: [accepts insurance] & [licensed doctor] are good starting points for PPC keyword lists.

Your industry not listed? See other industry insights here.

How did we discover those seed keywords?

By analyzing customer responses, transcripts, and chats for true language keywords that your customers are likely typing into search or ChatGPT.

How To Find Your Best PPC Conversion Signals

Effort Manual Method CallRail
Time Required High Low
Accuracy Depends on human analysis Automated and precise
Insights Available CTRs, keyword performance CTRs, keyword-level call tracking, automated trends
Effort Intensive Minimal

Manual Method For Finding PPC Conversion Signals

  • Analyze Campaign Data: Manually review metrics like click-through rates (CTR), conversion rates, and cost per conversion to evaluate performance.
  • Identify High-Performing Keywords: Manually analyze calls to find and optimize keywords driving the best results while excluding irrelevant terms.
  • Track User Behavior: Use tools like Google Analytics to observe user actions, such as pages visited or time on site, before converting.
  • Tie Conversions to Campaign Factors: Manually connect conversion data to specific ads, keywords, or timeframes for insights.
  • Challenges: Time-intensive, prone to human error, and limited in precision without advanced tools.

CallRail Method for Finding PPC Conversion Signals

  • Call Tracking: Easily and quickly track inbound calls back to specific ads, campaigns, or keywords to identify high-performing strategies.
  • Keyword-Level Attribution: Automatically pinpoint which keywords drive calls or form submissions without manual effort.
  • Automated Insights: Leverage AI-generated call transcripts, summaries, and data to detect patterns, trends, and high-performing campaigns effortlessly.
  • Integrations: Connect with platforms like Google Ads or HubSpot to centralize and streamline conversion tracking.
  • Key Benefits: Saves time, eliminates guesswork, provides precise and actionable insights to optimize PPC campaigns effectively.

The Manual Way:

  1. Spend hours manually analyzing call transcripts for high-intent phrases.
  2. Create tightly themed ad groups based on these phrases.
  3. Constantly refine keyword match types to match real search behavior (favor phrase match for accuracy).
  4. Use dynamic keyword insertion carefully to keep VOC language in ads.

Easy Way With CallRail: 

  1. Use CallRail’s free trial to extract VOC insights.
  2. Insert VOC themes into responsive search ad headlines and structured snippets.

Tip #2. Save Time: Automate Campaign Creation With Pre-Built Google Ads Templates & CRM Signals

Launching campaigns faster without sacrificing quality can transform how efficiently your agency operates.

Is This Change Worth It?

Absolutely.

When you automate campaign creation, your team gets more time back to focus on strategy instead of setup.

It means:

  • Faster launches.
  • Fewer errors.
  • Campaigns that are tailored more precisely to your clients’ real needs.

What’s New That You Should Change & Try

Google Ads Customer Match and Microsoft Ads Customer Match now enable direct CRM syncing to personalize campaigns automatically.

You can dynamically create or adjust campaigns based on real customer behavior without manual uploads.

Why Do This

Automating your campaign setup drastically reduces your manual workload, speeds up your time-to-market, and helps your team personalize campaigns at scale across locations or services.

Which Industries Benefit Most From This Time-Saving PPC Technique?

  • Franchise & Multi-Location Retail
  • Home Services (HVAC, plumbing, roofing)
  • B2B SaaS with structured sales pipelines

How To Set Up Automated PPC Campaign Launching

The Manual Way:

  1. Build templated campaign structures with core keywords, ads, and extensions.
  2. Pre-create negative keyword lists to prevent budget waste.
  3. Use shared audiences and budgets across locations.

Easy Way With CallRail:

  1. Connect CallRail and your CRM to automatically trigger ad group or campaign launches.

Tip #3. Maximize ROI: Make Budget Optimization Dynamic With Real-Time Call Quality Feedback

Prioritizing ad spend on only the highest quality leads gives you better results without raising your budget.

Is This Change Worth It?

Definitely.

Budget optimization with real-time PPC feedback ensures that you’re spending on what actually drives value: qualified leads.

It’s one of the fastest ways to improve ROI and prove your worth to your clients.

What’s New That You Should Change & Try

Google Ads Offline Conversion Imports and Enhanced Conversions for Leads now allow you to sync call quality and CRM outcomes directly into Google Ads bidding models.

Why Do This

Prioritizing your budget based on high-quality leads maximizes your ROI, eliminates wasted ad spend, and delivers more valuable outcomes for your business or agency.

Which Industries Benefit Most From This Budget Optimization Technique

  • Healthcare & Dental Clinics
  • Legal & Financial Services
  • Auto Services

How To Optimize Your Budget Based On Real-Time Call Quality

Manual Way:

  • Score calls manually within your CRM for quality.
  • Adjust campaign-level bid adjustments or device-level bidding based on quality trends.
  • Create automated rules to pause poor-performing keywords or boost strong ones.

Easy Way With CallRail:

  1. Use call scoring to automatically sync quality signals.
  2. Set Google Ads offline conversion imports to trigger budget shifts based on call outcomes.

Tip #4: Boost Engagement: Use Enhanced Click-to-Call Campaigns With Visual SERP Signals

Visual and call-first strategies make it easier for customers to connect and convert faster.

Is This Change Worth It?

Yes, especially if your audience is mobile-first.

Adding call-focused enhancements and visuals doesn’t just boost engagement—it shortens the path between search and conversion, making it easier for ready-to-buy users to reach you.

What’s New That You Should Change & Try

Google Ads Call Ads, Image Extensions, and Microsoft Ads Multimedia Ads now create visually compelling, mobile-first experiences optimized for immediate customer action.

Why Do This

Upgrading your ads with richer visuals and call-driven formats helps you drive higher engagement on mobile, improve click-to-call rates, and accelerate customer connections.

Which Industries Benefit Most From This Engagement-Boosting Technique

  • Restaurants & Local Retail
  • Urgent Services (locksmiths, HVAC repair)
  • Senior Services (assisted living, home care)

How To Enhance Your Click-to-Call Campaigns

Manual Way:

  • Add call extensions and image extensions to mobile ads.
  • Schedule call ads during business hours only.
  • Use structured snippets highlighting key services.

Easy Way With CallRail:

  1. Integrate CallRail click-to-call tracking.
  2. Analyze peak call times and optimize ad schedules accordingly.

Tip #5: Smarter Targeting: Layer First-Party Lead Journey Data Into Performance Max Campaigns

Bringing offline lead intelligence into your campaigns boosts targeting precision and conversion rates.

Is This Change Worth It?

Absolutely.

Using your first-party data to influence Performance Max campaigns gives you more control, better targeting, and higher returns, especially in a world where third-party cookies are disappearing.

What’s New That You Should Change & Try

Google Ads Performance Max campaigns now support Customer Value Mode (2024 smart bidding innovation) to better optimize for high-value leads.

Why Do This

Feeding your first-party lead journey data into campaigns improves your targeting precision, nurtures your prospects at the right moment, and increases your conversion rates while lowering acquisition costs.

Which Industries Benefit Most From This Smart Targeting Strategy

  • Real Estate
  • Home Improvement & Contractors
  • Higher Education & Vocational Schools

How To Layer Lead Journey Data Into Your Performance Max Campaigns

Manual Way:

  1. Export CRM lead journey stages manually.
  2. Create custom audience segments inside Google Ads.
  3. Build distinct asset groups based on customer intent (“researching,” “ready to buy”).

Easy Way With CallRail:

  1. Use CallRail to sync call outcomes and CRM data into Google Ads.
  2. Automate audience signal feeding to Performance Max.

Tip #6: Lower CPCs: Run Campaigns By Location With Local Keyword + Phone Call Clustering

Geo-targeted strategies help you win more conversions while keeping your ad costs low.

Is This Change Worth It?

Definitely.

Location-based clustering lets you dominate profitable micro-markets without blowing your budget. It’s one of the smartest ways to lower CPCs and outmaneuver bigger competitors.

What’s New That You Should Change & Try

Google Ads Location Extensions, Dynamic Location Insertion, and Microsoft Ads Location Extensions now provide better local customization tools, enhanced by AI call tracking.

Why Do This

Using hyperlocal targeting based on real-world call and keyword data helps you increase your relevance, lower your CPCs, and dramatically improve your local conversion rates.

Which Industries Benefit Most From This Geo-Targeting Upgrade

  • Multi-Location Healthcare
  • Legal Services in competitive markets
  • Home Services (regional licensing differences)

How To Run Localized Campaigns With Call Clustering

Manual Way:

  1. Segment geo-targeted campaigns by ZIP code.
  2. Analyze location performance reports weekly.
  3. Use ad customizers to insert city/region names dynamically into ad copy.

Easy Way With CallRail:

  1. Leverage CallRail’s AI keyword clustering to identify top-performing regions.
  2. Automatically adjust geographic targeting based on call conversion trends.

Scale Smart, Not Wide

Scaling PPC for your SMB clients across different sectors is no longer about throwing more campaigns against the wall and hoping something sticks. It’s about smarter personalization, automation, and quality-driven optimizations.

Tangible PPC elements like keywords, ad groups, budget rules, and conversion actions remain critical to long-term success, especially when fueled by clean first-party data.

By implementing even 1–2 of these new methods per client vertical, you can reduce your manual work, improve your lead quality, and drive better outcomes for your agency and your clients.

Ready to future-proof your PPC strategy?

Start with data. Start with automation. And start by refining the tangible parts of your campaigns to dominate every sector you serve.