PPC Budget Rebalancing: How AI Changes Where Marketing Budgets Are Spent via @sejournal, @LisaRocksSEM

In paid media, many advertisers default to budgeting by ad platform, with a percentage to Google Ads, a percentage to LinkedIn Ads, etc., largely based on habit. Now, AI technology presents new opportunities to marketing leaders to decide where to spend their paid media dollars. Instead of allocating spend based on impression volume or historical channel averages, marketers can explore PPC budget rebalancing around buyer intent signals and conversion probability (likelihood that a specific ad interaction, like a click, will result in a valuable action like a conversion).

There are many ways to approach budget strategy in paid media. The model in this article is one worth exploring because it reflects how AI technology in the ad platforms evaluates users across the customer journey.

A Different Approach From Channel-Based Budgeting

For many years, PPC budgeting followed the same basic playbook. Set a percentage for Google Search, another for Meta, and spread what’s left over across video or display. It is simple, but forces spend to stay locked inside channels even when user behavior indicates something different.

This can create ongoing attribution battles where teams debate whether the Facebook ad or the final Google search drove the conversion. Everyone focused on the last click results instead of understanding the full journey.

Platform AI has changed that. Today, machine learning blends signals from search, video, maps, feed environments, and content discovery paths. Models update predictions continuously using large-scale intent and behavioral signals.

Buyers’ journeys are omnichannel: searching, scrolling, comparing, and exploring at the same time. When budgets stay fixed inside channels, money can’t follow the purchase intent. That means overspending on channels that only appear in the last click and underspending where users are ready to take action. This new opportunity is shifting from budgeting by channel performance to budgeting by conversion probability. AI helps make this possible, interpreting meaning, context, and patterns that humans can’t see at scale.

Many expert PPC guides (including my own recommendations) support structuring budgets by funnel stage or campaign objective rather than rigid channel splits, because it more accurately reflects how people move from awareness to intent.

This is echoed in articles like “Budget Allocation: When To Choose Google Ads vs. Meta Ads” and “From Launch to Scale: PPC Budget Strategies for All Campaign Stages,” which emphasize aligning spend to the campaign goal, not the platform it runs on. These guides also agree on something else: Flexibility is essential, because performance and user behavior shift over time.

With that foundation in place, this article introduces a new evolution of that idea, moving from funnel-based budgeting to signal-based budgeting. Read on to learn how this model works and why it’s built for the way AI interprets user intent today.

How Signals Move Inside Platforms But Not Across Them

It’s important for CMOs to understand how signals work inside major platforms. Google and Meta use unified prediction engines. For example, signals from Search, YouTube, Maps, and Discover all feed into one Google system. This is why these platforms can react to user behavior so quickly.

However, platforms do not directly share user-level intent signals with one another. Google doesn’t send search intent to Meta. Meta doesn’t pass engagement back to Google. Each platform operates its own machine learning environment.

The only connection across platforms is user behavior. A user might watch a review on YouTube, check options on Instagram, and then return to Google to search for pricing. Each platform reacts to what happens inside its own ecosystem.

This distinction matters. Budget decisions should reflect how users move across the journey, not how systems communicate. Platforms don’t exchange signals. Users carry their intent with them.

The Three Signal Layers That Guide AI-Driven Budget Allocation

I see platform AI systems consistently respond to three core signal groups. These signals match how machine learning models evaluate purchase intent and likelihood to convert.

1. Intent Signals

These are strong signs that someone is ready to take action. Examples include refined search queries, repeat visits, deeper product exploration, commercial browsing patterns, and lookalike signals that match buyers who tend to convert. For example, Microsoft Ads’ AI uses “audience intelligence signals” combined with data the advertiser provides (e.g., ads, landing pages) to automatically find users “more likely to convert.”

When these actions are measured together, platform AI prioritizes ad delivery toward users who are most likely to convert.

2. Discovery Signals

Discovery is the early stage of consideration. Users engage with content that builds awareness, helps them compare options, or clarifies the problem they want to solve. Google’s published insights show that buyers now explore multiple media types before taking action.

These discovery signals align with the “streaming + scrolling + searching + shopping” behaviors that Google identifies.

Discovery signals can show up earlier than marketers expect. Budgeting for discovery matters because these signals can influence purchase intent later.

3. Trust Signals

Trust signals can help on the ad serving end and conversion closing end. This includes reviews, product walk-throughs, video demos, social proof, and expert content. These cues help platforms predict whether a user will favor a certain brand once they develop purchase intent.

Good trust content (reviews, transparent info, credible claims) helps deliver a better user experience, which can increase a conversion rate in comparison to that content being absent.

When trust is strong, conversion outcomes tend to be more consistent because Google Ads evaluates landing page experience, store ratings, and other quality signals as part of its automated bidding and delivery systems. Pages that demonstrate stronger user experience and conversion performance are more likely to earn increased ad delivery under conversion-focused bidding models because they value high-converting experiences.

Together, these three layers can form a modern structure for budget allocation.

How CMOs Can Apply This Model Right Now

Rebalancing for intent starts with one shift: Build budgets around signals instead of channels. Group your existing campaigns into the three buckets: intent, discovery, and trust. This structure lets your team see where each dollar is driving purchase intent or signal quality.

Once campaigns are mapped to a signal, you can assign budget amounts that reflect your goals. Intent gets the largest share because it drives revenue. Discovery fuels learning and awareness. Trust earns its own allocation because it lifts future conversion performance.

This process is easier than it sounds.

Step one: Assign each campaign to the signal it produces: intent, discovery, or trust. This creates a signal map across all platforms.

Step two: Set your budget amounts for each signal bucket. This replaces the traditional channel-based approach.

Step three: Distribute the dollars inside each bucket to the campaigns that support that signal best. This keeps allocation strategic and gives each campaign a clear role.

Example To Show How This Can Work

A CMO with a $10,000 total budget might allocate:

Intent
$6,000 across Google Search and Meta retargeting, where purchase intent is strongest for them. Higher intent can lead to more conversions, so platform AI systems allocate impressions more efficiently.

Discovery
$3,000 across Meta prospecting and YouTube educational content to increase learning signals. Video views, engagement, and content consumption teach the algorithm who is interested.

Trust
$1,000 toward YouTube testimonial content to strengthen brand credibility and improve lower funnel efficiency. Even a small trust investment can likely improve performance across all channels by improving users’ confidence and readiness to buy.

The allocation starts with the signal, not the channel. Platforms receive budget because they support that signal, not because of historical patterns.

Why It Can Be Harder To Manage

Signal-based budgeting challenges familiar habits. Platforms don’t organize campaigns this way, so teams must learn to read performance differently.

Instead of relying only on last click ROAS, teams have to watch earlier indicators such as branded search growth, engaged video views, returning visitors, and assisted conversions. Reporting also becomes more complex because trust and discovery show up differently across Google, Microsoft, and social platforms. This means teams must compare assisted conversions, view-through impact, and conversion lag patterns rather than relying on a single conversion report.

Why It Can Be More Profitable

The complexity can pay off. Platform AI systems make allocation decisions based on probability. When your budget aligns with the signals AI values most, performance improves across the customer journey.

Profit can increase because:

• Intent dollars focus on users most likely to convert.
• Discovery dollars generate new learning signals, feeding prediction accuracy.
• Trust dollars raise future conversion likelihood and reduce lower funnel costs.
• Spend shifts toward the strongest outcomes.

Teams that adopt this model could see stronger performance and more conversions without increasing total budget.

A New Way To Think About PPC Budget Allocation

Here are the core takeaways for CMOs:

• AI-driven budgeting can work best when spend follows purchase intent, not channels.
• Grouping campaigns by intent, discovery, and trust signals gives you a clearer view of what’s driving revenue and what’s feeding future performance.
• A signal-based budget improves lower funnel efficiency, brand awareness, and accelerates learning within the existing total spend.
• This model can help teams stay aligned with how users move and how machine learning predicts conversions.

The real advantage is efficiency. When the budget moves with user signals, you don’t need more budget to see stronger results. You need a model that lets the budget follow the people most likely to act.

As platform AI continues to evolve, the leaders testing their PPC budgets around intent signals will have an edge. This framework gives you a repeatable way to stay competitive and capture more value from every dollar invested.

More Resources:

Featured Image: N Universe/Shutterstock

The PPC Skills That Won’t Be Replaced By Automation

The best PPC specialists aren’t just campaign managers. They’re business consultants who happen to use paid advertising as their primary tool. As automation handles more tactical optimization, the value of a PPC professional increasingly lies in their ability to solve business problems, not just reduce cost-per-click.

Specialists who command premium rates and drive real growth possess skills that extend far beyond the ad platforms themselves. Here are the consulting capabilities that separate tactical executors from strategic growth partners.

Business Economics And Profit Optimization

Return on ad spend (ROAS) is a lazy metric.

For years, I’ve watched businesses optimize toward arbitrary ROAS targets that bear no relationship to actual profitability. A 400% ROAS sounds impressive until you realize the client is losing money on every sale after accounting for product costs, shipping, and overhead.

Understanding business economics means knowing the difference between revenue generation and profit generation. It means asking questions most PPC specialists never consider. What’s the true cost of this product? How do return rates vary by acquisition channel? What’s the cash flow impact of 30-day payment terms?

When you can structure campaigns around contribution margin rather than revenue multiples, you transition from order taker to strategic advisor. You start having conversations about product mix optimization, not just keyword expansion. You identify that promoting lower margin products at aggressive ROAS targets is destroying profitability, even as revenue climbs.

This shift requires moving beyond platform metrics and integrating P&L understanding into every strategic decision. Tools can help, but the real value comes from combining financial acumen with campaign execution.

Strategic Consulting

The hardest skill to develop is knowing when PPC isn’t the answer.

I’ve sat in countless meetings where stakeholders obsess over minor bid adjustments while ignoring fundamental business problems. The real issue isn’t your Quality Score. It’s that your product market fit is weak, your pricing is uncompetitive, or your checkout process has a 85% abandonment rate.

Great consultants diagnose the actual problem, not just the visible symptoms. They recognize when poor PPC performance stems from weak value propositions that no amount of creative testing will fix. Or pricing strategies that make profitable acquisition impossible. Or product quality issues driving high return rates. Or seasonal demand shifts being misinterpreted as campaign degradation. Or website conversion barriers that make every click more expensive. This strategic approach to scaling requires moving beyond reactive optimizations, which I’ve covered in depth in my SCALE Framework article.

This requires stepping back from the platform interface and analyzing the entire customer journey. It means being comfortable telling a client that, before you optimize their ads, they need to fix their product pages, streamline their checkout, or reconsider their market positioning.

The specialists who can’t make this distinction end up optimizing deck chairs while the ship sinks.

Cross-Channel Strategy And Attribution Understanding

Channel silos are relics of an attribution-obsessed past.

The most valuable insight I can provide a client often has nothing to do with their Google Ads account. It’s recognizing that their Meta prospecting campaigns are generating awareness that makes Search more efficient. Or that their shopping campaigns are supporting brand term performance. Or that their display retargeting is shortening the consideration cycle.

Understanding how channels interact requires moving beyond last click thinking and grasping incrementality. It means knowing when a Search campaign should get credit for a conversion that happened because a user first saw a YouTube ad three weeks prior.

With marketing mix modeling gaining traction, Google’s Meridian being a clear signal, the future belongs to strategists who think in systems, not channels. This doesn’t mean you need to be an expert in every platform. But you need enough understanding to collaborate effectively and build cohesive strategies.

The T-shaped specialist who can manage PPC deeply while understanding SEO, CRO, email, and content marketing will always outperform the narrow specialist who only looks at their own metrics.

Conversion Rate Optimization And Post-Click Experience

Most PPC specialists treat the click as the finish line. It’s actually the starting line.

I’ve watched teams spend weeks debating headline variations while completely ignoring a landing page that converts at 2% when the industry standard is 8%. The math is simple. Improving that conversion rate to 4% has the same impact as doubling your traffic, except it’s often easier and cheaper to execute.

Yet CRO remains dramatically undervalued because it falls into a “no man’s land.” Developers don’t have the marketing context. Marketing teams lack the technical ability to implement changes. Agencies focus on what happens before the click because that’s what they’re paid to manage.

This creates a massive opportunity. The consultant who can identify conversion barriers, inefficient checkout flows, weak trust signals, poor mobile experiences, confusing navigation, and actually drive implementation becomes invaluable.

This requires user research skills, competitive analysis, hypothesis development, and enough technical understanding to work effectively with development teams. It means running structured A/B tests, not just making changes based on best practices you read in a blog post.

When you can demonstrate that optimizing the post-click experience generated a 50% revenue increase without touching ad spend, you’re no longer a PPC manager. You’re a growth consultant.

Stakeholder Management And Change Leadership

The best strategy in the world is worthless if you can’t get it implemented.

I’ve learned this the hard way. Early in my career, I’d present brilliant recommendations backed by compelling data, only to watch them die in committee because I hadn’t built buy-in with the right stakeholders or framed the change in terms that resonated with their priorities.

Consulting is as much about organizational navigation as technical expertise. It requires understanding that the CFO cares about cash flow, the CMO worries about brand equity, and the head of ecommerce is measured on conversion rate. You need to tailor your recommendations accordingly.

Great consultants master the soft skills that don’t appear in any PPC certification. Building credibility gradually rather than expecting instant authority. Communicating complex concepts without condescension. Managing expectations during testing phases when results aren’t immediate. Navigating political dynamics when data conflicts with executive intuition. Knowing when to push hard and when to compromise strategically.

This is especially critical when recommending major strategic shifts like changing attribution or tracking solutions, restructuring account architecture, or reducing spend on sacred cow campaigns that leadership loves but data shows are inefficient.

Change management isn’t about having the right answer. It’s about getting that answer implemented.

Data Translation And Business Storytelling

Data without narrative is just noise.

The ability to transform campaign metrics into business insights that non-technical stakeholders understand might be the most undervalued skill in PPC. Anyone can report that CPC increased 15% month over month. A consultant explains that rising competition from two new market entrants is driving auction pressure, quantifies the revenue impact, and presents three strategic options with clear trade-offs.

This requires moving beyond dashboard screenshots and learning to tell stories with data. Connecting platform metrics to business outcomes executives actually care about. Identifying patterns across multiple data sources like CRM, analytics, and ads platforms. Building business cases that project return on investment and acknowledge risk honestly. Presenting recommendations with clear logic, not just best practices. Adapting your communication style to your audience’s sophistication level.

I’ve found that the specialists who master this skill get invited into strategic planning conversations, not just campaign reviews. They become trusted advisors whose input shapes budget allocation, product roadmaps, and market expansion decisions.

Continuous Learning And Adaptive Thinking

Digital marketing changes daily. Your expertise has a half-life.

The consulting skills that matter most can’t be learned from a certification course. They’re developed through experience, curiosity, and willingness to work outside your comfort zone. The specialists who stay relevant are those who read beyond PPC news. Business strategy, behavioral economics, technology trends. They study industries deeply enough to understand their unique economics and customer behavior. They experiment constantly, even when current approaches are working. They seek out perspectives that challenge their assumptions. They recognize when their mental models are outdated and rebuild them.

What worked in 2020 doesn’t work in 2026. What works today won’t work in 2030. The only sustainable competitive advantage is the ability to learn faster than the market evolves.

Futureproof Your PPC Expertise

As AI and automation handle more tactical execution, the gap between order takers and strategic consultants will widen dramatically. The specialists who thrive will be those who can solve business problems using PPC as one tool among many.

They’ll understand profit mechanics well enough to structure campaigns around real business objectives. They’ll diagnose problems accurately rather than optimizing the wrong things efficiently. They’ll see channels as interconnected systems, not isolated silos. They’ll drive post-click optimization with the same rigor as pre-click management. They’ll navigate organizational complexity to get strategies implemented. They’ll translate data into narratives that drive action.

These aren’t nice-to-have skills for some future state. They’re what separates the valuable from the replaceable right now.

The question isn’t whether you can run a profitable Search campaign. It’s whether you can solve the business problems that make running that campaign worthwhile in the first place.

More Resources:

Featured Image: Master1305/Shutterstock

15 Fixes To Improve Low Conversion Rates In Google Ads via @sejournal, @brookeosmundson

Many Google Ads accounts generate steady traffic but struggle to turn that traffic into outcomes the business actually values, such as purchases, qualified leads, or demo requests.

That disconnect usually isn’t caused by a lack of demand or a broken platform. It’s more often the result of small, fixable issues across the account that quietly compound over time.

Keyword targeting drifts. Ad copy loses alignment with landing pages. Bid strategies stop matching how users actually convert.

None of these problems feel dramatic on their own, but together they can pull conversion rates down and make performance harder to scale.

The good news?

Improving conversion rates in Google Ads rarely requires rebuilding an account from scratch. In most cases, it comes down to tightening fundamentals, being more intentional with the levers already in place, and using performance data with a bit more discipline.

This article walks through 15 practical ways PPC managers can improve Google Ads conversion rates using changes that are realistic to implement and straightforward to test. The goal isn’t more traffic. It’s getting better results from the traffic you already pay for.

1. Implement Proper Conversion Tracking

This first one seems like a no-brainer, but it’s often overlooked by many accounts.

The only way to understand whether your Google Ads campaigns are performing or not performing is to properly set up conversion tracking.

The most common ways Google Ads conversion tracking is implemented are through:

The other key component to proper conversion tracking is identifying what conversions make sense to track.

Oftentimes, brands have one big conversion in mind. For ecommerce, that is likely a purchase or a sale. For B2B companies, it’s likely a lead or a demo signup.

But what about all the other available touchpoints before a customer makes that leap?

Consider tracking “micro” conversions on your sites to really identify the positive impact your PPC campaigns have.

Examples of “micro” conversions to track include:

• Email newsletter signups.
• Free samples.
• Whitepaper download.
• Webinar signup.
• And more.

Taking a step back from the ins and outs of the platforms helps you hone in through the lens of a consumer. Setting up accurate measurements from the purchase journey can make a big impact on how you structure and optimize your Google Ads campaigns.

2. Optimize Keyword Lists

The second way to help increase Google Ads conversion rates is continuous optimization of keyword lists.

The Google Ads search terms report is a perfect tool for this. Not only can you see what users are searching for, in their own words, that leads to conversions, but you can also see what is not converting.

We’ll get to negative keywords later.

Keep in mind which match types you’re using throughout the keyword optimization process.

Broad match keywords have the biggest leniency when it comes to what types of searches will show for your ad. It also has the largest reach because of its flexible nature.

Turning some of your top-performing Broad match keywords into Exact match can help increase those Quality Scores, which can lead to lower cost per click (CPCs) and better efficiency for your campaigns.

3. Match Ad Copy To Landing Pages

Alright, so you’ve gotten a user to click on your ad. Great!

But you’re finding that not a lot of people are actually purchasing. What gives?

Surely, it must be a problem with the PPC campaigns.

Not always.

Typically, one of the most common reasons users leave a website right after clicking on an ad has to do with a mismatch of expectations.

Simply put, what the user was promised in an ad was not present or prominent on the landing page.

A great way to optimize conversion rates is to ensure the landing page copy is tailored to match your PPC ad copy.

Doing this ensures a relatively seamless user experience, which can help speed up the purchase process.

4. Use Clear Call-To-Action

If a user isn’t performing the actions you’d expect to after clicking on an ad, it may be time to review your ad copy.

Since the emergence of Responsive Search Ads (RSAs), I’ve seen many redundant headlines and generic calls-to-action (CTAs).

No wonder a user doesn’t know what you want them to do!

When creating CTAs either in ad copy or on the landing page, keep these principles in mind:

• Use action-oriented language that clearly communicates what you want them to do.
• For landing pages, make sure the CTA button is visually distinct and easily clickable. It helps if a CTA is shown before a user has to scroll down to find it.
• Test different CTAs to determine what resonates best with users.

Examples of action-oriented CTA language could sound like:

• “Download Now.”
• “Request A Quote.”
• “Shop Now.”

Try steering away from generic language such as “Learn More” unless you’re truly running a more top-of-funnel (TOF) campaign.

5. Optimize For Mobile

With mobile phones so prevalent in our society, it’s shocking how many websites are still not optimizing their mobile experience!

Creating a landing page with desktop top-of-mind should really be revisited, given that mobile traffic has overtaken desktop.

So, what can you do to help increase your conversion rates on mobile?

• Use a responsive web design to accommodate different mobile layouts.
• Make sure the site speed has fast loading times.
• Create any mobile-specific features, like CTA placement, to make sure it’s easily viewable for users.
• Optimize form fills on mobile devices.

6. Experiment With Ad Copy Testing

Ad copy is one of the biggest levers you can control in your PPC campaigns.

Even slight changes or tweaks to a headline or description can have a big impact on CTR and conversion rates.

Having multiple ad copy variants is crucial when trying to understand what resonates most with users.

Part of the beauty of Google’s Responsive Search Ads is the number of headline inputs you can have at once. Google’s algorithm then determines the best-performing ad copy combinations to increase conversion rates.

Google Ads also has tools built into the platform for more controlled testing if that is a route you want to take.

You can create ad variants or create an experiment directly in Google Ads for more precise A/B testing.

It’s also important to test one element at a time to isolate the impact of each change. Testing too many elements at once can muddy up analysis.

7. Utilize Ad Assets

Ad assets are a great way to help influence a click to your website, which can help improve conversion rates.

Assets like callouts, structured snippets, and sitelinks can provide additional detail that couldn’t be shown in headlines or descriptions.

When your Ad Rank is higher, you have a better likelihood of showing ad assets, which helps increase the overall visibility of your ad.

Your ad assets can be customized to fit your campaign goals, and can even show specific promotions, special product features, and social proof like seller ratings.

8. Don’t Be Shy With Negative Keywords

A sound negative keyword strategy is one of the best ways to improve Google Ads conversion rates.

You may be wasting your paid search budget on keywords that aren’t producing conversions.

You may also notice that some broad keywords have gone rogue and are triggering your ads for terms they definitely shouldn’t be showing up for!

As mentioned earlier, the search terms report can help mitigate a lot of these types of keywords.

You can choose to add negative keywords at the following levels:

• Ad group.
• Campaign.
• Negative keyword lists to apply to campaigns.

You also have the ability to add negative keywords as broad, phrase, or exact match.

Alleviating poor-performing keywords allows your budget to optimize for your core keyword sets that lead to conversions.

9. Set Proper Bid Strategies

The type of bid strategy you choose for your Google Ads campaigns can make or break performance.

In recent years, Google has moved towards its fully automated bidding strategies, using machine learning to align performance with the chosen goal and bid strategy.

Currently, Google has four Smart Bidding strategies focused on conversion-based goals:

• Target CPA (Cost-Per-Action): Helps increase conversions while targeting a specific CPA.
• Target ROAS (Return on Ad Spend): Helps increase conversions while targeting a specific ROAS.
• Maximize Conversions: Optimizes for conversions, not focused on a target ROAS outcome, and spends the entire budget.
• Maximize Conversion Value: Optimizes for conversion value, not focused on a target ROAS outcome, and spends the entire budget.

Choosing the right bidding strategy is just one piece of the puzzle.

The inputs of the chosen bid strategy are just as important, where more context is needed to have a successful campaign.

For example, suppose you choose a Target CPA bid strategy for a search campaign and set the target CPA to $50.

However, in that campaign, you notice that your average CPC ranges anywhere from $10-$20.

Suddenly, your impressions go down, and you’re not sure what’s happening!

It could be your bid strategy inputs.

In the example above, if you have high CPCs but set your target CPA to just slightly higher than the CPCs, that means you need to have a stellar conversion rate in order to stay within that $50 CPA threshold.

Additionally, many make the mistake of setting the same target CPA for all campaigns, regardless of brand or non-brand intent.

Most often, non-brand keywords will have much higher CPAs than brand terms, so the inputs should be set accordingly based on performance.

Make sure you set your Target CPA thresholds high enough initially for the campaigns to gather information to meet expectations.

10. Add Audience Segmentation

As keyword match types tend to get looser, there is more emphasis on leveraging audience segmentation to reach the right people.

Using audience segments allows you to tailor your ads towards specific groups or utilize audiences as exclusions so your ads aren’t triggered.

Examples of audience segments within Google Ads include:

• Demographics: Can be based on gender, age, household income, education, and other areas.
• Interests and behaviors: Based on hobbies, lifestyle choices, website browsing behavior, and purchase history.
• Actively researching or planning: Based on a user’s past or recent purchase intent.
• Past interactions with your business: Can be based on previous engagements like website visits, add-to-cart, other online interactions, existing customer relationship management (CRM) data, and more.

By segmenting audiences within your PPC campaigns, you can customize ad messaging based on those segments.

This can lead to maximizing relevance and engagement, ultimately increasing conversion rates.

You can also use insights from GA4 to inform your segmentation strategy to identify high-value audience segments.

11. Create A Retargeting Strategy

On average, ecommerce conversion rates range from 2.5-3%.

That means 97% of people leave a website without purchasing. Talk about a missed opportunity!

With a retargeting strategy in place, you have the opportunity to win back those missed customers and turn them into your brand champions.

Retargeting keeps track of website or app visitors who don’t take the desired action you’d like them to. You can create retargeting lists as niche or as broad as you prefer, but keep in mind that audiences must be a certain size before they’re eligible to use.

Examples of utilizing retargeting could be:

• Creating segmented lists of users based on certain category pages of a website.
• Users who have added an item to their cart but didn’t purchase it.
• Users who have viewed at least three to five pages.

These segments can be used to create retargeting campaigns, which show those users ads to help increase the likelihood of them converting. Be sure to set those ad frequencies within the campaign so you don’t annoy your audience, though!

12. Offer Incentives

These days, shoppers are more accustomed to expecting a discount whenever they purchase.

There’s certainly an argument that programming people to buy only during a sale can diminish a product’s value perception.

However, there are strategies that can boost sales and conversion rates without devaluing the product.

If possible, try making the offers more personal towards the user and their behavior.

Additionally, you can set smaller windows of sale times and incorporate real-time purchase behavior so users can see how many people have taken advantage of the sale.

13. Choose The Right Location Settings

One of the easiest ways to waste precious PPC dollars is to set up location targeting wrong.

Google Ads offers multiple ways to geo-target locations within the campaign settings to help reach your goals.

Location targeting allows you to set specific locations for your ads to show, including:

• City.
• Region.
• State.
• Country.
• Radius.

For example, if you have products that can only be purchased in the United States, you would likely target “United States” within the campaign setting.

Nowadays, it’s not as easy as just choosing “United States” (in this example). This is where advanced settings come in.

Within the Google campaign settings, you have two location-targeting options:

• Presence or interest: People in, regularly in, or who’ve shown interest in your targeted location.
• Presence: People in or regularly in your targeted locations.

In the example above, it would make sense to choose “Presence” – otherwise, the campaign could show ads in areas where the products aren’t available.

If users in those countries click on the ad but see they can’t purchase when they get to the website, that is a recipe for poor conversion rates.

14. Use Social Proof To Build Trust

Brands can leverage social proof in their Google Ads campaigns to help boost conversion rates.

The goal of using social proof is to incorporate elements that demonstrate positive sentiment from customers, endorsements, or validation that the customer’s needs will be met.

There are many ways brands can add social proof to their campaigns:

• Seller ratings ad asset.
• Callout ad assets.
• Adding customer reviews and testimonials to the landing page.
• Share case studies and success stories on the landing page.

Additionally, strategies like creating limited-time offers with an emphasis on social proof can help boost sales and conversion rates.

This could mean showing in real-time how many customers have taken advantage of the offer, which creates urgency for the customer to act.

Focusing on social proof and validation can build trust, credibility, and confidence among potential customers – ultimately leading to higher conversion rates.

15. Schedule Your Ads Based On Performance

Ad scheduling is an underestimated tool in Google Ads that helps improve conversion rates.

The beauty of ad scheduling is that you can control when your ad will or will not show.

Make sure to have ample budget and schedule ads when potential customers are most actively searching and are more engaged.

This can lead to higher effectiveness of the campaign and increased conversion rates.

For example, if you run a B2B software company, it’s highly unlikely that potential customers are searching in the middle of the night.

Optimize your spend by not showing ads at certain times of the day (such as the middle of the night) or days of the week (like weekends).

If you’re not sure how to start optimizing campaigns by time, consider the following:

• Use tools like GA4 to understand when most purchases are happening on the website.
• Look for trends like website traffic, conversion times, engagement rates, etc., by time.
• Align your ad schedule with peak business operations times, especially if customer service is involved.
• Adjust ad schedules around key events like holidays or peak seasonality.

Turning Conversion Rate Optimization Into A Habit

Improving conversion rates in Google Ads is rarely tied to a single optimization or setting change. Strong performance usually comes from a series of small decisions that are reviewed, tested, and refined over time.

When those decisions stop getting attention, efficiency tends to slip, even in accounts with solid traffic and budgets.

The most effective PPC teams treat conversion rate optimization as an ongoing process rather than a one-time project. They regularly question assumptions, revisit historical decisions, and adjust based on how users behave today, not how the account was originally built.

If there’s one takeaway from these 15 tactics, it’s that better results don’t always come from spending more. They come from making the traffic you already earn more relevant, more intentional, and easier to convert.

More Resources:

Featured Image: Billion Photos/Shutterstock

4 Reasons Your Google Ads Clicks Are Down & What You Can Do via @sejournal, @brookeosmundson

A click drop in your Google Ads account can feel like the floor just moved under your account.

Not because clicks are considered more of a vanity metric. But because most sites still convert just a small slice of visitors.

Shopify, believe that 2.5-3% is an average benchmark for industry leaders (although not backed with data), whereas a recent study of Shopify sites by Littedata found the average CTR was just 1.4%.

So, when click volume drops, you’re not just losing traffic. You’re losing future conversions you were counting on, and you’re handing extra shots to competitors.

The fix usually is not one magic lever. You need a quick, disciplined diagnosis:

• Did you lose eligibility (Quality Score)?
• Did you lose reach (impressions)?
• Were there disruptions in performance with changes (like testing new ads)?
• Or did you get squeezed by competition?

This article walks through the four most common causes, plus what to do next.

What Is CTR?

One of the metric definitions that hasn’t changed over the years in Google Ads is CTR.

CTR is a relatively simple formula: The number of clicks that your ad receives divided by the number of times your ad is shown (clicks ÷ impressions).

While CTR is a simple calculation, this is one of the more vital metrics to help analyze performance.

Think again if you thought CTR could only be used to gauge compelling ad copy.

So, what is the purpose of CTR? Some applications of using CTR include:

• Measuring the relevance and quality of ads.
• Identifying the competitiveness of keywords and ads.
• Analyzing gaps between campaign budgets and keyword bids.

When your CTR is suffering, this has a direct impact on click volume.

Now that CTR has been defined and we have use cases for the metric, you’re probably wondering, “What is a good CTR?”

A recent study from Wordstream by LocaliQ noted that the average CTR for search was 6.66% across all industries.

If your average CTR isn’t stacking up to industry averages, don’t fret! Follow these comprehensive tips to help get your CTR and click volume back up to par.

Why Is My Click Volume Decreasing?

Can’t explain the sudden dip in click performance? Here are some of the common reasons to help identify the cause.

1. Did Your Quality Score Recently Drop?

While the Quality Score metric shouldn’t be considered the “end all be all,” this often underlooked metric may be a root cause of click volume decline.

Quality Score measures these key components of your ad:

• Expected CTR.
• Ad relevance.
• Landing page relevance.

Google Ads shows you a relatively detailed view of each of these areas, so you’re not left guessing what you should focus on optimizing.

Quality Score matters because it directly impacts how often your ads are eligible to show. Not only that, but it also affects how much you’re paying per click.

Solution: Optimize Quality Score based on the “grades” Google gives you for your keywords.

Some of these fixes may be easier to implement (such as new ad copy), but if you need to optimize your landing page, that may take time and other resources.

A thorough guide to optimizing Quality Score can be found here.

Read more: Which Metrics Matter In PPC?

2. Low Impressions

If your CTR has remained steady but is seeing click volume decrease, the main issue is this: decreased impressions.

There can be multiple factors for a sudden decrease in impressions, but here are the most common:

Seasonality

If you have a seasonal product, you’re naturally going to have dips and peaks in demand.

If searches go down for your particular industry, your keywords’ impressions will also decrease.

Updated Bidding Strategy

If you’ve recently modified your bidding strategy, there could be a misalignment between your daily budget vs. your target ROAS/CPA/CPC goal.

Any significant gaps in expectations here can cause a stark decline in impressions.

For example, if you set your bidding to a $50 CPA goal for competitive keywords but typically see a $150 CPA, this will cause almost instant volatility in impressions.

The way CPA and ROAS strategies work is to throttle impressions to users who are not likely to convert to your goal.

New Negative Keywords

Like many advertisers, you’ve had to tighten up your negative keywords. This is due to Google loosening restrictions on keyword match types.

However, you may have accidentally restricted too much on negative keywords. This can result in lost impressions because of conflicting negatives.

So, what can you do to combat low impressions?

Solution: Aside from any seasonality issues, review your current bidding strategies and ensure the targets are aligned (and realistic) to your performance goals.

Additionally, comb through your negative keyword lists to identify any conflicts that are hindering your ad from showing.

Read more: Smart Bidding In Google Ads: In-Depth Guide

3. New Ads

So you’ve written shiny new ad copy and implemented it across the board. You’re excited to see your improved ad copy outperform your previous ads.

But, you’ve discovered the opposite happens, and your click volume plummets.

What gives?

Essentially, any time you make an update to your campaigns, and especially ad copy, you’ve set your campaign back into learning mode. During this time, you may expect to see volatility in performance. You may see CTR drop while Google’s algorithm learns what resonates best with users.

Obviously, this is not ideal for any advertiser. You’ve spent the time to perfect a new copy and are watching it perform worse. So, what can we learn from this scenario?

Solution: A/B test your new ads before pausing all “old” ads. This can help reduce the inevitable performance volatility of pausing all old ads and replacing them with new ones.

You can read this helpful guide, if you’re not sure where to start with A/B testing.

Read more: How To Write Better Ad Copy When Google Ads Uses AI-Assisted Features

4. Your Competitors Outbid You

Competition isn’t something that you can control. They may have a larger budget or more interesting ad copy than you. All of these items are out of your control.

What you can control is how you respond to competition.

Say your maximum CPC on a keyword is set to $5, but you notice a competitor is consistently showing above you. This most likely means that the competitor is outbidding you.

Solution: If you have the budget capacity, a simple remedy would be to be more aggressive in your bidding strategy. This can help increase impression and click volume as you show up more often.

Read more about how to use Smart Bidding effectively here.

Another example is if a competitor has a better ad copy than you. Say you’re selling a similar product, but a competitor has a promotion while you don’t. Which ad do you think will likely get more clicks?

Most likely, the promotional ad.

Solution: If you are not/cannot run a promotion, review your ad copy to identify how you can stand out from the competition.

Make sure you’re using all relevant ad extensions to help increase ad rank and real estate on the page. Consistently check the Ad Preview Tool to make sure your ad is still the most attractive on the page.

Read more: Tips For Running Competitor Campaigns In Paid Search

A Click Drop Is A Signal, Not A Verdict

When clicks fall, your job is not to panic. Your job is to isolate the reason quickly, then act with intent.
Here’s the simple mental checklist I use when I’m trying to get an account steady again:

• If Quality Score slipped, focus on expected CTR, relevance, and landing page alignment before you touch bids.
• If impressions dropped, sanity-check budgets, targets, and negative keyword conflicts first.
• If new ads underperform, stop the “all at once” swap and move back to controlled testing.
• If competitors get louder, tighten your message, improve your offer framing, and make sure assets are fully built out.

Click volume usually comes back when you stop treating it like a mystery and start treating it like a diagnosis. The goal is not “more clicks at any cost.” It’s restoring qualified visibility you can actually convert.

More Resources:

Featured Image: Roman Samborskyi/Shutterstock

5 Google Analytics Reports PPC Marketers Should Actually Use via @sejournal, @brookeosmundson

Google Analytics has never been perfect, but it used to feel familiar.

The shift to Google Analytics 4 forced PPC marketers to rethink how they pull insights, not just where to click.

Reports that once lived front and center now take more effort to find. Some require extra setup. Others feel less intuitive than before and that creates a real problem for PPC managers who need answers quickly.

You are expected to explain performance, justify spend, and make optimization decisions, often without the luxury of rebuilding reports or navigating multiple menus.

This article focuses on five Google Analytics reports that still deliver real value for PPC. These are the reports that help you understand audience behavior, uncover expansion opportunities, and connect paid traffic to outcomes the business actually cares about.

1. Audiences Report

As keyword match types continue to loosen and automation plays a larger role in campaign delivery, audience signals matter more than ever.

The Audiences report in GA4 replaces what many marketers previously relied on interest-based reports for, but with a more practical twist. Instead of inferred intent, this report is built on real user behavior.

This report shows how predefined and custom audiences perform across key engagement and conversion metrics. For PPC marketers, the value lies in analyzing audiences tied to meaningful actions, not generic demographic traits.

Use this report to:

• Identify which audiences are driving actual conversions, not just traffic.
• Compare performance between converters, cart viewers, repeat visitors, or high-engagement users.
• Validate which audiences deserve more aggressive bidding or budget allocation.
• Build and export high-performing audiences directly into Google Ads.

This report is far more actionable than legacy interest segments and aligns better with how PPC campaigns are structured today.

To find this report, navigate to: Reports > User > User Attributes > Audiences.

This report will only be useful if you have custom audiences set up in GA4. These are behavior-based audiences you define yourself, not prebuilt segments like In-Market or Affinity audiences you may be used to seeing in Google Ads.

GA4 audiences are built from first-party actions such as page views, events, or conversion behavior, which makes them more relevant for PPC optimization but requires upfront configuration.

2. Site Search Report

The Site Search report remains one of the most underused tools for PPC expansion.
By analyzing what users search for once they land on your site, you gain direct insight into unmet expectations and intent gaps.

In GA4, Site Search data lives under event tracking rather than a standalone report.

For PPC teams, this report can:

• Inform keyword expansion using real user language.
• Highlight product or content gaps affecting conversion rates.
• Reveal mismatches between ad messaging and on-site expectations.

Speaking of gaps, the Site Search report can also help product teams understand if additional demands exist for the products offered.

For example, say you have a wedding invitation website that has a decent product assortment for different themed weddings.

When using the Site Search report, you see an increasing number of searches for “rustic” – but none of the website designs have that rustic feel!

This can inform product marketing that there is a demand for this type of product, and they can take action accordingly.

To find the Site Search report, navigate to Reports > Engagement > Events.

Look for the event “view_search_results” and click on it.

Once clicked, find the “search_term” custom parameter card on the page.

A few important notes on search terms data:

• Before using this report, you must create a new custom dimension (event-scoped) for the search term results to populate.
• Google Analytics will only show data once it meets a minimum aggregation threshold.

While it’s not as robust as the previous Site Search report in Universal Analytics, it does provide basic data on the number of events and total users per search term.

3. Referrals Report

Referral traffic is often ignored by PPC teams, which is a missed opportunity.

The Referrals report shows which external sites send users to your website and how those users behave once they arrive.

To find this report, navigate to Reports > Acquisition > Traffic Acquisition.

To view the websites from the Referral channel, click the “+” in the default channel group and choose “Session source/medium.”

The key features of this report can:

• Identify third-party sites sending high-quality traffic.
• Distinguish between low-intent and high-intent referral sources.
• Build placement-based audiences for Display or Demand Gen testing.

Testing Display placements based on proven referral sources can be a cost-efficient way to expand reach without sacrificing traffic quality.

This is a cost-efficient way to test expanding new PPC efforts responsibly because the referral websites chosen are known to provide high-quality traffic to your website.

4. Top Conversion Paths Report

As marketers, we’re often asked how “Top of Funnel” (TOFU) or brand awareness campaigns are performing.

Leadership typically prioritizes channels that are proven to perform. So, they want to make sure marketing dollars are spent efficiently.

In today’s economy, this is more important than ever.

This Google Analytics report helps analyze and interpret TOFU behavior.

If you’re running any type of campaign beyond Search, this report is absolutely necessary.

Campaigns like YouTube and Display and other paid channels like social media (Meta, Instagram, TikTok, etc.) naturally have different goals and objectives.

TOF campaigns are undoubtedly criticized for “not performing” at the same rate as a Search campaign.

As marketers, this can be frustrating to hear over and over.

Using the Conversions Path report provides a holistic view of how long it takes a user to eventually make a purchase from the initial interaction.

To find this report, navigate to Advertising > Attribution > Conversion paths.

When drilling down to specific campaign performance, I recommend:

• Add a filter that contains “Session source/medium” to the specific paid channel in question (“google/cpc”, for example).
• Include an “AND” statement to the filter for “Session campaign” specific to the TOF campaigns in question.

In the example above, we found that our Paid Social campaigns should have been credited in more of the early and mid touchpoints!

The key features of this report can:

• Identify how many touchpoints to final conversion.
• Analyze complex user journey interactions when multiple channels are involved (especially for longer sale cycles).
• Report on credited conversions based on the attribution model.

This report can uncover necessary data to support the request for additional marketing dollars in TOF channels.

A win-win for all parties involved.

5. Conversion Events Report

Most PPC accounts optimize toward a single primary conversion. That makes sense for bidding, but it rarely tells the full story of how paid traffic actually contributes to revenue.

The Conversion Events report in Google Analytics 4 allows you to step back and evaluate all meaningful actions users take, not just the final one that gets credit in-platform.

For PPC decision-making, this report helps answer questions that Google Ads alone cannot, such as:

• Which actions consistently happen before a purchase or lead submission.
• Whether certain campaigns drive strong intent but fail to close immediately.
• How different paid channels influence early-stage engagement versus final conversion.

This becomes especially important when evaluating Display, YouTube, Demand Gen, or paid social campaigns. These campaigns often look inefficient when judged solely on last-click performance, but they may drive key actions like product views, pricing page visits, form starts, or repeat sessions.

To find this report, navigate to: Reports > Engagement > Events.

Conversion analysis in GA4 depends on which events you explicitly mark as conversions in Admin settings. GA4 does not provide a standalone “conversion-only” filter inside the Events report, so accuracy starts with proper event configuration.

Another practical use of this report is diagnosing drop-off points. If a campaign drives high volumes of early conversion events but struggles to generate final conversions, the issue may lie in landing page experience, form friction, or follow-up timing rather than targeting or bidding.

When paired with campaign-level filters from Google Ads, the Conversion Events report helps PPC managers explain why a campaign matters, even when it is not the last touch.

That context is often the difference between cutting a campaign too early and scaling one that is quietly doing its job.

Turn Analytics Into Better PPC Decisions

Google Analytics is not where most PPC optimizations happen day to day. That work still lives inside ad platforms.

But these reports serve a different purpose. They help PPC managers step back and understand how paid traffic behaves once it reaches the site, how users move across channels, and which actions actually signal intent.

Used monthly or quarterly, these reports surface patterns that daily account reviews often miss. They support smarter targeting decisions, clearer performance explanations, and more confident budget conversations.

When you focus on the reports that consistently answer real PPC questions, Google Analytics becomes less of a chore and more of a strategic asset.

More Resources:

Featured Image: MR Chalee/Shutterstock