How To Maximize Paid Ads Profitability With A Strategic Landing Page Audit

Your campaigns are only as strong as the pages they lead to. You can have the most targeted ads, the sharpest copy, and a budget that makes your CFO nervous. But if your landing page doesn’t deliver on what the ad promised, you’re leaving money on the table and feeding poor signals back into your campaign algorithms.

Landing pages are where intent meets experience. When they align, conversion rates increase. When they don’t, even high-quality traffic bounces, and your cost-per-acquisition (CPA) spirals upward.

This post walks through the core elements of a high-performing landing page strategy. This strategy is one that not only converts visitors, but also strengthens your ad campaigns. Whether you’re running Google Ads or Meta campaigns, these landing page strategies apply.

Why A Landing Page Audit Matters To Advertisers

Most advertisers focus heavily on the ad itself: the creative, the targeting, the bid strategy. That makes sense. But the landing page is where the actual conversion happens. It’s the final step in the funnel, and it has a direct impact on campaign performance.

Here’s why landing page audits should be a regular part of your paid media workflow:

Better Landing Page Conversion Rates Mean Lower CPAs

When more visitors convert, your cost per conversion drops. That gives you more room to scale or reinvest budget into other channels.

Stronger Signals Improve Algorithm Performance Every Click, Scroll

Platforms like Google and Meta rely on conversion data to optimize your campaigns. If your landing page isn’t converting, the algorithm receives weak or misleading signals, which limits its ability to find high-intent users.

User Experience On The Landing Page Influences Quality Score

Google rewards landing pages that are relevant, fast, and user-friendly. A higher quality score can lower your cost-per-click (CPC) and improve ad placement.

In short, your landing page isn’t just a conversion tool. It’s a feedback loop that shapes how well your campaigns perform over time.

Audit Point 1: Deliver On Intent And Relevance

The first rule of landing page optimization is simple: Match the message.

If your ad promises “free shipping on running shoes,” your landing page should immediately confirm that offer. If the ad targets “B2B marketing automation tools,” the page should speak directly to that audience and use case.

Message match builds trust. When a visitor clicks an ad and lands on a page that looks, feels, and sounds different, they bounce. Fast.

Here’s how to ensure relevance:

  • Mirror your ad copy. Use the same language, tone, and offer in your headline and subheading. If the ad says, “Save 20% on winter gear,” the landing page headline should reinforce that exact promise.
  • Align visuals with the ad creative. If your ad shows a specific product or service, feature it prominently on the landing page. Consistency across creative and page design reduces cognitive load.
  • Match the user’s stage in the journey. A top-of-funnel awareness ad should lead to educational content, not a hard sell. A retargeting ad for cart abandoners should take them straight to checkout.

The fewer mental leaps a visitor has to make, the more likely they are to convert.

Audit Point 2: Use Your CTAs Effectively

Your call-to-action (CTA) is the most important element on the page. It’s where intent turns into action.

But too many landing pages bury the CTA, use vague language, or overwhelm visitors with multiple competing actions. That creates friction and kills conversions.

Here’s how to get CTAs right:

  • Be specific and action-oriented. “Get Started” is vague. “Start Your Free Trial” or “Download the Guide” tells the visitor exactly what happens next.
  • Apply contrasting colors. You want your CTA button to stand out from the rest of the page. High contrast draws the eye and signals importance.
  • Limit choices. Every additional option on the page reduces the likelihood of conversion. Remove navigation menus, sidebars, and secondary CTAs that distract from your primary goal.
  • Test button copy. Small changes in wording can have a big impact. “Claim Your Discount” might outperform “Shop Now” for a price-sensitive audience.

Your CTA should feel like the natural next step, not a sales pitch.

Example: Zoho CRM’s Landing Page

Zoho CRM’s website is an excellent example of a landing page leveraging these points:

Specific offer: The header “Get started with your 15-day free trial” is highly specific, clarifying the duration and type of offer, addressing the vagueness of a simple “Get Started.”

Visual contrast: The primary CTA button, “GET STARTED,” is a high-contrast, bright red that immediately draws the eye away from the surrounding white and blue elements.

Action-oriented copy: While the button copy is “GET STARTED,” the text immediately below it clarifies the action as a free trial sign-up, maintaining clarity. Furthermore, the page limits distractions, focusing the user on the single action of signing up for the trial.

This approach effectively guides the user toward the intended conversion.

landing page example for Zoho CRM
Screenshot of Zoho CRM, November 2025

Audit Point 3: Use Imagery That Supports Your Message

Visuals aren’t just decoration. They communicate value, build trust, and guide the visitor’s attention.

The right images can make your offer feel tangible and desirable. The wrong ones create confusion or undermine credibility.

Here’s what works:

  • Show the product or outcome. If you’re selling software, show the interface in action. If you’re promoting a service, show the results or benefits your customers experience.
  • Use real people, not stock photos. Authentic imagery builds trust. Generic stock photos do the opposite. If you’re featuring testimonials or case studies, include real customer photos whenever possible.
  • Optimize for mobile. Images should load quickly and display properly on all devices. Slow load times can increase bounce rates and hurt quality scores.
  • Avoid clutter. Every visual element should have a purpose. If an image doesn’t reinforce your message or guide the visitor toward the CTA, remove it.

Strong visuals support your copy. They don’t compete with it.

Example: Superside’s Graphic Design Services

Superside’s landing page demonstrates using a portfolio of images to support the message that they can handle diverse creative needs for clients across different industries:

Show the outcome: Instead of a single generic image, the page prominently features a collage of actual client deliverables (app interfaces, product packaging, social media graphics) for brands like Amazon, Reddit, and Zapier. This directly illustrates the quality and range of the service’s outcome.

Communicate value and trust: By showing recognized brand logos and diverse project types, the imagery instantly builds credibility and reinforces the claim that they can “Scale your in-house creative team with top global talent.”

Avoid clutter (in context): While it’s a collage, the consistent presentation style and the grouping of images in a grid are purposefully designed to communicate a broad portfolio quickly, which directly reinforces the main headline: “Your creative team’s creative team.”

This strategy uses visuals to provide immediate, tangible proof of the service’s capability.

landing page visuals example
Screenshot of Superside, November 2025

Audit Point 4: Clearly Answer: “Why Choose You?”

Your landing page needs to answer one critical question: Why should I choose you over the competition?

This is where you articulate your unique value proposition (UVP). It’s not just about listing features. It’s about showing how your product or service solves a specific problem better than the alternatives.

Here’s how to communicate your UVP effectively:

  • Lead with the benefit, not the feature. “24/7 customer support” is a feature. “Get help anytime, without waiting” is a benefit.
  • Address objections upfront. If price is a concern, highlight flexible payment options. If trust is an issue, showcase security certifications or money-back guarantees.
  • Differentiate yourself. What makes your offer unique? Is it faster, easier, more affordable, or more comprehensive? Make that distinction clear.

Your UVP should be immediately visible, ideally above the fold. If a visitor has to scroll to understand what you’re offering, you’ve already lost some of them.

Audit Point 5: Leverage A Variety Of Social Proof

Social proof reduces risk. It shows visitors that other people (ideally, people like them) have chosen your product or service and been satisfied.

But not all social proof is created equal. The key is to use a mix of formats and place them strategically throughout the page.

Here are the most effective types of social proof to look for when you are doing a landing page audit:

Customer Testimonials

Short, specific quotes from real customers carry more weight than generic praise. Include the customer’s name, title, and company (if B2B) to increase credibility.

Case Studies Or Results

“We increased conversions by 30%” is more compelling than “Great service!” Quantifiable outcomes resonate, especially with data-driven buyers.

Logos Of Recognizable Clients Or Partners 

If well-known brands use your product, feature their logos. Recognition builds instant trust.

Ratings And Reviews

Aggregate ratings (e.g., “4.8/5 stars from 1,200+ customers”) provide quick validation. Link to third-party review sites like G2, Trustpilot, or Capterra for added credibility.

Trust Badges And Certifications

Security seals, industry certifications, and compliance badges (e.g., SOC 2, GDPR) that are visible on landing pages reassure visitors that their data is safe.

Place social proof near your CTA. That’s where hesitation peaks, and reassurance matters most.

Example: Reddit Ads’ Landing Page

The Reddit Ads landing page demonstrates the effective use of logos of recognizable clients or partners to build instant trust and social proof:

Client credibility: At the bottom of the page, a prominent line on the landing page reads, “Trusted businesses across all industries and sizes use Reddit Ads to meet their goals.” This statement is immediately backed up by a scrolling horizontal display of recognizable brand logos, including Mars, GameStop, Capital One, and Maybelline.

Instant trust: For a potential advertiser, seeing global, established brands using the platform reduces the perceived risk of signing up. If major companies trust Reddit Ads with their budget, a new user can be reassured the platform is legitimate and effective.

Strategic placement: The logo section is placed below the main registration form and the tool to explore audience, providing reinforcement just before a user might scroll away or hesitate. It offers a final, compelling piece of proof that supports the core message of reaching a “niche audience.”

This visual list of successful clients serves as powerful validation for the service.

Redit Ads landing page showing social proof
Screenshot of Reddit Ads, November 2025

Audit Point 6: Ensure Strong Technical Performance And Responsive Design

A beautiful landing page means anything if it doesn’t load quickly or breaks on mobile devices.

Technical performance directly impacts conversion rates and campaign quality scores. Google prioritizes fast, mobile-friendly pages, and visitors abandon slow-loading sites within seconds, noting that 53% of visits are likely to be abandoned if pages take longer than three seconds to load.

Here’s what to audit:

  • Page speed. Use tools like Google PageSpeed Insights or GTmetrix to measure load times. Aim for a load time under three seconds. Compress images, minimize code, and leverage browser caching to improve speed.
  • Mobile responsiveness. 41% of all web traffic comes from mobile devices. Your landing page should look and function perfectly on smartphones and tablets. Test across multiple devices and screen sizes.
  • Forms and functionality. If your CTA involves filling out a form, make sure it works. Test every field, button, and error message. Reduce the number of required fields to minimize friction.
  • Browser compatibility. Your page should render correctly in all major browsers (Chrome, Safari, Firefox, Edge). Cross-browser testing tools like BrowserStack can help identify issues.

Technical problems aren’t just annoying. They cost you conversions and damage your campaign performance.

Audit Point 7: Strategically Place Your CTAs

Where you place your CTA matters just as much as what it says.

Most landing pages include a primary CTA above the fold, and that’s a really good start. But high-converting pages use multiple CTAs placed at natural decision points throughout the page.

Here’s a strategic approach:

  • Above the fold. This is your first opportunity to convert visitors who are ready to act immediately. Make it prominent and impossible to miss.
  • After explaining value. Once you’ve outlined your UVP and key benefits, offer another CTA. This targets visitors who need a bit more context before committing.
  • After social proof. Testimonials and case studies reduce hesitation. Follow them with a CTA to capture visitors who’ve just been reassured.
  • At the bottom of the page. For visitors who scroll through all your content, include a final CTA. By this point, they’ve consumed everything you’ve shared and are ready to decide.

Each CTA should feel contextual, not pushy. It should align with where the visitor is in their journey down the page.

Conclusion: Making Your Landing Page Audit A Habit

Your landing page isn’t just a conversion tool. It’s a data generator.

Every click, scroll, and form submission sends signals back to your ad platform. These signals teach the algorithm which audiences convert, which creatives work, and how to allocate budget more efficiently.

When your landing page converts well, those signals are strong and accurate. The algorithm learns faster and optimizes better. When your landing page underperforms, the data becomes noisy. The algorithm struggles to find patterns, and your campaigns stagnate.

This is why landing page audits are essential. A small improvement in conversion rate doesn’t just boost revenue. It improves the quality of data feeding back into your campaigns, creating a compounding effect over time.

Start by identifying your lowest-performing landing pages. Run A/B tests on headlines, CTAs, and imagery. Measure the impact not just on conversions, but on downstream metrics like CPA, return on ad spend (ROAS), and customer lifetime value (LTV).

The better your landing pages perform, the smarter your campaigns become.

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Featured Image: one photo/Shutterstock

Paid Ad Scheduling Across Time Zones That Actually Works via @sejournal, @brookeosmundson

Scheduling ads in Google or Microsoft Ads sounds simple until you realize how many hours you’re wasting showing them at the wrong time.

A campaign that performs well in one market might fall flat in another, not because your targeting or creative is off, but because of when your ads appear.

Managing time zones is one of the easiest ways to improve efficiency and stop unnecessary spend. Yet, many PPC managers still rely on default settings or assume their ad platform will “figure it out.”

In reality, effective ad scheduling requires strategy, testing, and an understanding of how local behavior differs across regions.

This guide breaks down how to identify true peak hours, segment campaigns by region, and use automation tools to make scheduling work in your favor, no matter where your audience is.

Understanding Time Zone Challenges In PPC

When advertising across multiple regions, time zone discrepancies can create challenges that impact ad delivery, engagement, and conversions.

A common pitfall is assuming that a single campaign schedule will work universally. In reality, what works in one location might be completely ineffective in another.

For example, if your Google Ads account is set to Eastern Time but your target audience is primarily on the West Coast, your ads might be running during off-hours, leading to suboptimal performance.

International campaigns require even more diligence to consider local business hours and consumer behavior patterns.

Another factor is peak engagement hours. While lunchtime or evening hours may be prime time in one country, those same hours could be completely irrelevant in another.

Understanding these nuances is essential for optimizing your ad scheduling strategy.

Advanced Strategies For Scheduling Ads Across Time Zones

Successfully managing ad scheduling across time zones requires a thoughtful approach that goes beyond the basics.

While many advertisers set simple schedules and hope for the best, the real wins come from leveraging automation, data-driven insights, and strategic segmentation.

Whether you’re running campaigns domestically across U.S. time zones or managing international PPC efforts, applying advanced techniques can help ensure your ads are served at the right time for the right audience.

Segmenting Campaigns By Time Zone For Better Control

If you’re running campaigns across multiple time zones, one of the best ways to stay in control is by creating separate campaigns for different regions.

This lets you adjust ad schedules, budgets, and bidding strategies based on local peak performance times rather than forcing a single schedule to work for every location.

For example, an ecommerce brand serving customers in the U.S. and Europe might run separate campaigns for each region.

The U.S. campaign can focus on morning and evening hours when engagement peaks, while the European campaign targets prime shopping hours in local time zones.

While this approach adds complexity, the benefits far outweigh the extra management effort. Automating adjustments with rules and scripts can help streamline this process, ensuring each campaign is optimized without constant manual oversight.

Leveraging Automated Bidding Over Fixed Schedules

Manual ad scheduling has its place, but automated bid strategies like Target ROAS or Maximize Conversions allow you to optimize bids dynamically rather than setting fixed hours.

These AI-driven approaches adjust bids in real time, ensuring ads appear when conversion probability is highest, regardless of time zone differences.

For instance, if data shows that users in one region convert at a higher rate between 9 a.m. and 11 a.m. but another region performs better in the evening, automated bidding will allocate more budget when it matters most.

Instead of manually adjusting bids every few weeks, let machine learning do the heavy lifting.

Optimizing Scheduling Based On Market-Specific Peak Hours

Different markets have different user behaviors, so it’s crucial to base your scheduling decisions on actual performance data rather than assumptions.

Google Ads’ ad schedule reports and Microsoft Ads’ time-of-day insights can help you identify when users in each region are most active.

For example, if analytics reveal that North American users are most engaged in the evening while European users peak in the morning, your campaigns should reflect that.

Instead of blanketing all markets with a generic ad schedule, tailor your approach based on real-time engagement trends.

Using Labels To Manage And Adjust Scheduling

One often overlooked yet powerful feature in Google and Microsoft Ads is the use of labels.

Labels let you group campaigns, ad groups, or keywords into easily manageable categories, making it simpler to track and adjust schedules.

For example:

  • Tagging campaigns by region allows for easy bulk adjustments when shifting schedules due to seasonal changes or promotional events.
  • Labeling time-sensitive ads ensures that you can quickly pause or resume campaigns as needed without sifting through dozens of settings.
  • Using automation scripts with labels enables automatic bid adjustments or scheduling changes based on real-time performance.

By applying labels effectively, you can streamline scheduling changes without manually editing each campaign, saving time and reducing errors.

Automating Scheduling Adjustments With Scripts

If you’re managing multiple time zones, Google Ads scripts can be a game-changer.

Rather than manually adjusting schedules, scripts can dynamically modify bids based on real-time performance data.

For example, a script could be set up to boost bids by 20% during high-converting hours and reduce them by 10% when conversions drop. This keeps campaigns optimized while freeing up time to focus on strategy rather than daily bid adjustments.

Scripts also work well with labels. You can program scripts to modify bid strategies for campaigns tagged with specific labels, ensuring changes are applied only to relevant ads.

Adjusting For Daylight Saving Time Changes

Another scheduling headache is Daylight Saving Time (DST), which varies by country and can cause misalignment in ad schedules.

A campaign that ran perfectly last month might suddenly be off by an hour if a region switches to DST.

To avoid this, maintain a calendar of DST changes in key markets and adjust schedules proactively.

Another option is using automated rules or machine learning-based bid adjustments to handle these shifts without manual intervention.

Budget Allocation Based On Regional Performance Trends

Rather than splitting your budget evenly across all time zones, consider allocating more spend to the highest-performing regions based on historical data.

By analyzing performance reports, you can determine which locations deliver the best ROI and adjust budgets accordingly.

For instance, if your data shows that conversions peak in the late evening for Pacific time zone users but decline in the early morning for Eastern time users, shift more budget toward the stronger-performing time periods.

This approach ensures ad spend is being used effectively rather than wasted on time slots that don’t generate conversions.

Turning Time Zones Into An Advantage

Ad scheduling is just one of many levers that can make or break your campaign performance. When your ads align with local customer behavior, your budget works harder, and engagement improves.

Use data to pinpoint when conversions actually happen, then adjust delivery windows to match those trends.

Lean on automation to keep schedules consistent, especially across multiple markets, and review reports often enough to spot shifting patterns.

Treat time zone planning as part of your optimization routine, not a one-time setup. The more precisely your ads reflect when people are active, the stronger your results will be.

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Featured Image: Roman Samborskyi/Shutterstock

PPC Pulse: PMax Expands, Clarity Now Mandatory & AI Max Data Debate via @sejournal, @brookeosmundson

This week, the paid media world focused less on new tools and more on what’s changing beneath the surface.

Google expanded Performance Max into a new channel and offered long-awaited reporting visibility. Microsoft took a firm stance on brand safety by requiring Clarity across its publisher network. And one viral LinkedIn post questioned the effectiveness of Google’s newest “AI-powered” campaign model.

Each of these stories points to the same theme: Platforms are redefining what control and accountability mean for advertisers.

Performance Max Expands To Waze And Adds Channel Reporting

Google confirmed two changes for Performance Max campaigns.

The first notable update is that for PMax campaigns using “Store Visits” as a campaign goal, your business can now show up on Waze ads inventory. The business will show up as a “Promoted Places in Navigation” pin for users.

This update is for all advertisers in the United States, and no additional setup is required.

The second update is that Google rolled out Channel Reporting for all PMax campaigns. While this has been rolling out for a few months now, not every advertiser had this available.

Why Advertisers Should Pay Attention

Local intent now includes the navigation moment. If your brand depends on foot traffic, showing up while someone is driving near a location adds a fresh, real-world touchpoint.

The channel reporting update matters just as much. It helps shift PMax conversations from “trust the system” to “here’s where the system actually worked.”

In my opinion, this is progress on transparency and reach. It also adds variables you’ll be asked to explain.

The win isn’t “more placements.” The win is being able to connect surfaces to outcomes with fewer leaps of faith.

Microsoft Clarity Now Mandatory For Third-Party Publishers

Microsoft Ads Liaison, Navah Hopkins, shared an important announcement for all 3P publishers on Microsoft:

Screenshot taken by author, November 2025

In her post, she mentions that all Microsoft Ads clicks need to make sure those pages have Microsoft Clarity enabled.

Her post got attention from the PPC industry, where she clarified in the comments that an official announcement from Microsoft will be coming out shortly. All Microsoft Ads partners have already been notified via email.

The post also sparked some questions and potential confusion about how Microsoft Ads wouldn’t be charged if they weren’t running Clarity.

Andy Hawes asked:

Thanks for this Navah Hopkins, but when you say “Any Microsoft Advertising clicks that do not have Clarity will be filtered out and result in nonbillable impressions/clicks.” Are you suggesting that if you don’t run clarity then you’re Microsoft Ads won’t cost anything? I’m assuming that is not the case? So could you explain that part please?

Hopkins clarified during the exchange:

Screenshot taken by author, November 2025

Why Advertisers Should Pay Attention

Microsoft seems to be taking a quality stance, not just making a tracking footnote.

Based on the conversation on LinkedIn, Microsoft is tying billable media to verifiable on-site experience. In theory, that should reduce questionable placements and give brands greater confidence that their ads appear in environments that meet baseline standards.

I see this as Microsoft is trading raw reach for higher trust. Advertisers should expect fewer gray-area placements and stronger conversations with brand-safety teams.

It also nudges the market toward a new normal where “transparency” includes a window into on-site behavior, not just a placement report.

The Industry Reacts To AI Max Performance Data

AI Max was another hot topic on LinkedIn this past week.

Xavier Mantica shared four months of results comparing AI Max to traditional match types.

Screenshot taken by author, November 2025

His data showed AI Max at $100.37 per conversion versus $43.97-$61.65 for most non-AI setups (and $97.67 for phrase close variants). His view: AI Max behaves like broad match with a new label, expanding beyond intended relevance and driving up cost.

As of this writing, the post has 991 engagements with over 170 comments from the PPC industry.

How Advertisers Are Reacting

Looking at the comments, it appears that many PPC pros agree that AI Max isn’t living up to the hype that Google made it out to be when originally announced.

Collin Slatterly, Founder of Taikun, shared his skeptical optimism by not just dismissing AI Max entirely, but shared it may just not be ready for its full potential:

Give it a year, and it’ll probably be ready to deploy. Feels like PMax all over again.

One of the top comments to Xavier’s post came from Mike Ryan, who agreed after analyzing 250 campaigns of his own:

Screenshot taken by author, November 2025

There were others in the comments that had the opposite take of Xavier. Denis Capko replied in the comments, stating:

Screenshot taken by author, November 2025

Why Advertisers Should Pay Attention

This debate goes beyond one account. It reflects a wider tension between volume and control.

“AI increases conversions” is only persuasive if cost, relevance, and repeatability hold up under scrutiny.

While the comments seemed overly negative to AI Max, I see it as AI Max feels more like growing pains than failure.

Automation continues to move faster than the frameworks we use to evaluate it, and advertisers are still learning how to guide it effectively.

When data quality, conversion accuracy, and negative signals are strong, AI Max can deliver meaningful scale. But without clear visibility into how the system interprets intent, results can vary widely.

Posts like Xavier’s highlight the need for transparency as much as performance. Google also benefits from that same openness: It builds trust, helps advertisers use automation more responsibly, and ultimately makes the technology stronger for everyone.

Theme Of The Week: Accountability

The updates and discussions this past week all share one thread: accountability.

Google is expanding where automation can go, Microsoft is tightening the standards for who gets to monetize it, and advertisers are rethinking how much control they’re willing to trade for convenience.

As platforms lean further into automation, the real advantage won’t come from who adopts it first. It will come from who understands it best.

Are you confident in what your automation is doing, or just comfortable letting it run?

Top Stories Of The Week:

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Featured Image: Roman Samborskyi/Shutterstock

How To Evaluate Creative Performance in Meta Ads (and What To Test) via @sejournal, @timothyjjensen

When running a Meta Ads campaign, creative should be at the center of your strategy. As targeting options have become more limited in the platform from the super-granular segments available in years past, overthinking targeting layers often raises cost while sacrificing performance.

Meta has also been emphasizing the importance of differentiating creative, warning that similar assets will essentially be seen as the same by their system, and potentially limiting reach as audience fatigue sets in from seeing an image or video over and over.

Assuming you’ve started with a foundation of properly configured event tracking, keeping your audience targeting high-level and focusing on testing diverse creative will generally drive the best results. Given the importance of creative, understanding how you can view the performance of your assets is crucial to informing your Meta advertising strategy.

Breaking It Down

From the main Ads Manager screen, you can use the Breakdown option to segment performance by individual ad creative (images and videos). This can be done at either the ad set or ad level.

Breaking down performance by creative in MetaImage from author, October 2025

You can then see metrics such as clicks, link clicks, impressions, cost-per-click (CPC), click-through rate (CTR), reach, frequency, and spend for individual assets. However, you unfortunately cannot see counts for custom conversions or events broken down at this level.

While the lack of conversion data is a miss on Meta’s part, you can still find value in this reporting. If you’re using dynamic creative, you can see which individual assets are being served the most and which are receiving the highest engagement (based on CTR). You can also determine if frequency is running high for particular assets and if fatigue may be setting in.

If you’re running a single image ad without dynamic creative, but using different images for various placements (e.g., square images for feed placements and vertical images for Stories/Reels), you can still see conversion performance separated by breaking down by Placement instead of creative. Here, you can also delineate between different platforms (Facebook vs. Instagram vs. Threads) for individual placement types as well.

Custom Reporting

You can also use the Ads Reporting section to create a custom report that includes individual ad creatives in addition to metrics you’d like to see. When building your report, use a pivot table and check the box for “Ad creative” if you’d like to see data aggregated across campaigns and ad sets that are using the same creative.

Meta Ads ReportingImage from author, October 2025

You’ll then see a thumbnail of the image or video, along with the accompanying copy. This report can be helpful for doing aggregate comparisons of how specific images are performing if you’re reusing them for different ad sets or campaigns. For instance, you may have campaigns segmented by market for budget reasons, but be serving the same assets.

Creative Testing

We’ve looked at how to view creative performance across your Meta campaigns in a couple of different ways, but what if you want to stage a test from the ground up to compare how different creative assets might perform? You can use the standard Experiments feature that has existed for a while in Meta and set up separate ad sets or campaigns with different ads, but let’s hone in on the Creative Testing feature that’s specifically built for this purpose.

To kick off a test, go to the edit view for an existing ad within a campaign and scroll down until you see the “Creative Testing” section. Select the option to “Set up test.”

Creative TestingImage from author, October 2025

Next, you can define the criteria for your test setup. Start by choosing to create up to five ads. Then, allocate the amount of budget that you’d like to use and define the length of the test (up to 30 days).

Creative Test SetupImage from author, October 2025

Finally, select the metric you’ll use to evaluate success. You can choose a more general goal, such as CPC or cost per result, or you can choose a specific conversion (either custom conversion or event) to look at CPA.

Finally, confirm your test, and adjust the new creatives to include the updated assets you’d like to use. You can then view results in the Experiments section, or via the campaign in Ads Manager, as the test begins to run.

According to Meta, using this approach allows you to keep learnings from the test ads within your ad set if you choose to run them moving forward. As the learning phase can be a hindrance to getting new ads off the ground, this tactic can be a benefit in addition to the ease of testing.

Measurement Outside Meta

In addition to what you can see in Meta, use tools such as Google Analytics to see performance from ad clicks to your site. As long as you’ve properly tagged your ad URLs, you can see how specific ones have driven engagement and conversions on your site.

Meta’s attribution (even click attribution) is notorious for taking all the credit it can, but using another platform can allow you to see Meta traffic alongside other sources that may also have influenced conversion. You can then determine how Meta may have influenced the buying journey, as it often may appear earlier in consideration and be followed up by sources such as search.

What Should You Test?

How can you plan creative tests that give you actionable data? As discussed at the beginning of the article, differentiation is key to both avoiding fatigue and providing significant results.

While design capabilities may vary depending on your business’s resources and bandwidth, the availability of a plethora of AI tools and user-friendly design platforms allows for simple creation of multiple assets. Think through what works best for your brand, but some potential suggestions for comparison include:

  • Illustrated vector images vs. photography.
  • Stock photography vs. your brand’s photography.
  • Animation vs. static images.
  • Text-heavy assets vs. minimal or no text.
  • Informal “phone” videos vs. polished formal videos.

From here, you can evaluate which types of assets tend to best resonate with your audience based on the data you’re able to see both in Meta and in third-party platforms. Also, be careful not to completely write off a particular type of creative because of a past test. Audience preferences can change over time, so it’s worth retesting periodically.

How Can You Apply Your Learnings?

As you evaluate the performance of various assets, you can translate the learnings into practical application in Meta and beyond. For instance, if you find that animated text videos tend to perform well, you can create them for multiple products and test different video backgrounds.

Additionally, take learnings beyond Meta and apply them to other platforms. With the caveat that each platform is unique and what works on one may not be guaranteed to perform elsewhere, images that work on Meta may be worth testing in other channels, such as Google Demand Gen and LinkedIn.

Outside of ad platforms, you can also implement image styles or videos that performed in Meta testing onto your landing pages. For instance, if your Meta audience appears to resonate more with illustrated vector imagery as opposed to photography, test that type of creative in graphics on your site.

Start Evaluating & Start Testing

If you haven’t previously been paying enough attention to the performance of specific creatives in Meta, now is a crucial time to start doing so. Ensure that you’re using different enough variants and avoiding fatigue. Think through some tests you can set up for your clients or your brand, and start creating and launching new graphics.

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Featured Image: Viktoriia_M/Shutterstock

Black Friday 2025: Tips To Boost Your Holiday PPC Performance (Get Ready Now) via @sejournal, @brookeosmundson

Black Friday doesn’t sneak up on anyone, yet somehow it still catches advertisers off guard every year.

Campaigns launch at the last minute, budgets aren’t ready, and tracking issues surface once performance starts to spike.

If you’ve managed PPC through Q4, you know how quickly small mistakes can turn into costly ones. CPCs rise, competition intensifies, and ad inventory becomes harder to win. By the time the weekend hits, there’s little room left for major fixes.

That’s why the most successful advertisers treat preparation as their advantage. They plan budgets before the rush, stabilize feeds early, and set guardrails around automation before the system starts making aggressive bids.

This article walks through the key areas worth reviewing now so you can step into the busiest retail period of the year with fewer surprises and a plan that holds up under pressure.

Let’s start with what to revisit from last year.

Take The Time To Audit Last Year’s Wins And Pitfalls

Before building anything new, it’s worth taking a closer look at last year’s performance.

The strategy here isn’t about copying old campaigns; it’s about understanding where they overdelivered, where they stalled out, and how the landscape might have changed since then.

In Google Ads, start with the attribution reports. Look beyond just last-click conversions and examine how various campaign types contributed throughout the funnel.

If Performance Max campaigns played more of an assist role, that should inform how you structure them this year.

If Standard Shopping capped out early or certain product categories were underrepresented, those are fixable issues.

You can also use auction insights to see when competitors ramped up spend, or whether you lost impression share due to budget or rank. These reports offer useful context if you’re planning to scale this year but didn’t last year.

If you’re using Microsoft Ads, review audience and device performance to see where volume shifted.

Holiday behavior isn’t always the same across platforms. What worked well on Google may not have translated to Bing or Meta, and vice versa.

The goal is to identify specific opportunities, not just assume last year’s playbook will hold up.

Build Early, Even If You’re Not Launching Yet

There’s value in building out your campaigns well in advance of Black Friday, even if you don’t plan to activate them until closer to the sale.

Whether you’re launching new campaigns or just updating ads in existing ones, getting ahead on structure gives you time to QA creative, troubleshoot disapprovals, and coordinate across teams.

If you’re planning to reuse existing campaigns, you can still stay organized using labels. For example:

  • Apply labels to new Responsive Search Ads (RSAs) that include holiday-specific copy or promotions.
  • Label sitelinks, callouts, or promo assets that reference Black Friday offers.
  • Tag ad groups or asset groups that are tied to limited-time sale messaging.

Using a clear naming convention makes it easier to filter, review, and schedule changes across campaigns without confusion.

If you want to automate this even further, you can create automated rules based on labels.

For example, you can set a rule to enable all ads with your Black Friday label at 12:01 a.m. on November 28. You can also set up rules to pause those same ads at the end of the promotion, reducing the chance that outdated messaging stays live.

You’d also want to create an automated rule to run to pause all non-Black Friday ads at the same time. This ensures that only your promo ads are running during Black Friday season.

If you end up creating Black Friday-specific campaigns, you can easily set start and end dates on them to ensure they only run during the allotted time.

While you don’t have complete scheduling control at the ad or asset level across platforms, you can use a combination of labels, automated rules, or campaign/ad group start and end dates. These give you enough flexibility to manage most scenarios without scrambling the morning of your launch.

If you’re running Meta Ads, be sure to upload your Black Friday creative and audience setups well in advance. Platforms are slower to review and approve ads during peak periods, and early delivery data will help the algorithm optimize once you start increasing budgets.

Give Smart Bidding Better Direction

Most advertisers are using some sort of Smart Bidding for their campaigns, especially around Black Friday. That doesn’t mean you should take a hands-off approach, though.

If you’re using Google Ads, consider seasonality adjustments if you’re planning for a short-term sale or expect a sudden fluctuation in conversion rates. These adjustments tell Google to expect better-than-usual performance during a specific window, and can help avoid underspending during flash sales.

Seasonality adjustments are currently available for these campaign types that use either a Target ROAS or Target CPA bid strategy:

  • Search.
  • Shopping.
  • Display.

If you’re using seasonality adjustments for conversion rates, then you can choose between these campaign types:

  • Search.
  • Display.
  • Shopping.
  • Performance Max.
  • App (in beta).

That said, they’re not suited for every situation. If you’re running a longer sale or have limited historical volume, the adjustment could cause more volatility than good.

For broader holiday performance, make sure your campaigns have enough data to support Smart Bidding decisions. Review the “Bid Strategy Report” and watch for signs of limited learning or constrained budgets.

Pushing into a critical promo window without stabilized bidding can lead to inefficient spend, especially with newer campaigns.

Check Your Product Feed Before It Becomes A Problem

It’s easy to focus on campaign settings and forget that your product feed is powering everything from standard Shopping campaigns to Performance Max. If it’s not accurate or timely, your best offers might not show up correctly.

In Google Merchant Center, navigate to the Diagnostics tab and resolve any disapprovals or mismatched pricing issues. These often spike around holidays when sale prices don’t sync correctly or out-of-stock products remain active.

Make sure your feed includes items like:

  • Up-to-date GTINs and product identifiers.
  • Attributes like ‘sale_price’ and ‘sale_price_effective_date’ for promotions.
  • High-quality images that meet platform guidelines.
  • Clear shipping and availability details.

If you’re running Performance Max campaigns, review the Listing Groups report to ensure your most valuable products are getting served. Many advertisers find that certain SKUs get minimal impressions due to budget spread or structural issues.

This is also a good time to upload holiday-themed creative assets, including lifestyle images and product videos. These can improve performance in placements like YouTube and Discover, which tend to ramp during PMax campaigns in Q4.

The more you control the feed and asset side, the less you have to worry about automation making subpar choices when competition is highest.

Expect Things To Break, And Plan Around That

Black Friday campaigns don’t always go according to plan.

Promo pages fail to update. Budgets cap out early. Tracking drops off mid-day. It’s worth thinking through what could go wrong now, while you still have time to build a backup plan.

Start with some of the basics in campaign planning:

  • Double-check conversion actions in Google Ads and Google Analytics 4. Make sure no duplicate events are being counted, and key actions like purchases, add-to-cart, and email sign-ups are being tracked.
  • Test final URLs on mobile and desktop. If you’re using promo pages, confirm they’re live and loading quickly. A slow checkout experience during Black Friday Cyber Monday (BFCM) will almost always tank performance.
  • Pre-schedule creative updates where possible. You don’t want to be manually swapping sitelinks or headlines in the middle of a surge.
  • Double-check your automated rules. If you’re using rules to enable sale ads and pausing evergreen ads, make sure to have the platform(s) email you with any changes so you can confirm with confidence the right ads are being shown at the right time.
  • Set up alerts for unusual activities. If campaigns showcase a sudden ROAS drop, zero conversions, or unusual spend, you’ll want to be alerted in real-time. Even something as simple as a budget cap hitting before 10 a.m. can throw off the day if it goes unnoticed.

The more you can troubleshoot before launch week, the fewer fires you’ll need to put out when things are moving fast.

Don’t Shut Down Campaigns The Minute Cyber Monday Ends

It’s common for brands to ramp hard through Cyber Monday, then pause everything until January. But, many shoppers are still active well into December, especially those looking for last-minute gifts or deals that weren’t available earlier.

Based on previous personal experience, Google Ads auction data may show that competition could dip after Cyber Monday and shopping intent doesn’t disappear. Conversion rates often stay steady through the first two weeks of December, particularly for brands with fast shipping or digital products.

Rather than winding down completely, consider updating your messaging to reflect the urgency. Swap out “Black Friday” language for “Still Time to Save” or “Guaranteed Delivery Before Christmas.” Countdown ads and shipping deadline assets work well here.

If you’re running remarketing campaigns, exclude recent purchasers and focus on users who visited key pages but didn’t convert. These audiences tend to convert at lower cost-per-acquisition (CPA) during post-Cyber sales, especially if you’ve got gift cards or bundled offers to promote.

December also gives you a chance to build audience pools for Q1. Visitors from BFCM campaigns can be remarketed to in January for loyalty or cross-sell efforts. Just make sure your campaign structure allows for clean audience segmentation.

Planning Ahead Is Still Your Best Defense

Once your campaigns are running, focus on maintaining performance instead of overhauling what’s already working. Black Friday weekend tends to amplify everything, good or bad.

A stable structure, clean data, and smart pacing decisions matter more than any last-minute bid change.

This shopping season isn’t a one-day sprint anymore. It stretches across weeks of demand shifts, extended promotions, and changing intent signals. Advertisers who treat it as a cycle rather than a moment gain the clearest insights for what comes next.

Keep a close eye on pacing and creative fatigue, but trust the groundwork you’ve built. Review performance daily, document what drives the strongest returns, and note what didn’t hold up under pressure.

When your campaigns are ready before the chaos begins, the season stops being stressful and starts being strategic.

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Featured Image: Roman Samborskyi/Shutterstock

Using Attribution Paths To Transform Your Google Ads Strategy

Let’s state a fact: Google Ads in 2025 runs on automation. From Smart Bidding and Responsive Search Ads to Performance Max and upcoming AI-driven campaign types, machine learning now determines how ads are served and how budgets are distributed. But automation is only as strong as the data that powers it and how well advertisers understand the journey behind each conversion.

That’s where attribution paths (formerly, “conversion paths”) come in. They show how people actually move from the first ad click to the final step, highlighting how multiple touchpoints contribute to results. As automation and AI increasingly shape Google Ads bidding, knowing how to interpret these paths has become essential. They reveal where conversions really start, which campaigns are quietly assisting, and how much value your upper funnel is driving. Without that context, Smart Bidding can overvalue easy-to-measure conversions while undervaluing campaigns that build demand.

Understanding attribution paths is no longer optional. It’s one of the most reliable ways to ensure automation stays aligned with business reality – and not just with what’s easiest for Google’s algorithm to see.

Where To Find The Attribution Paths Report

The Attribution paths report lives under Advertising → Attribution in Google Analytics 4.

Attribution Paths reportImage from author, October 2025

It shows the sequence of touchpoints leading to a selected key event (GA4’s new term for “conversion” in reporting).

When linked with Google Ads, GA4’s Attribution paths can include a wider set of touchpoints, not just clicks. These may cover impressions, engaged views, emails, downloads, and site usage events. In practice, advertisers may see earlier interactions, such as YouTube views or Display impressions, represented in their conversion paths, rather than only the last click.

That impression visibility is a hidden gem. Instead of asking “Which campaign got the last click?” you can ask, “Which channels actually contribute to conversion journeys?”

From “Conversions” To “Key Events”

The terminology shift trips up many teams. In GA4 reports, you’ll see key events; in Google Ads, you’ll still import and bid on conversions. Functionally, they’re the same, just labelled differently depending on the platform. This matters because the Attribution paths report lets you segment by the exact key event you optimize for in Ads.

key event segmentationImage from author, October 2025

Beyond Last-Click: How To Use The Report

Here’s where the Attribution paths report becomes more than a pretty diagram:

Prove And Price Upper-Funnel Ads

Under a last-click model, touchpoints like YouTube impressions or Display views receive no credit for a conversion. But if you switch to Data-Driven Attribution (DDA) in GA4’s Attribution models, the system redistributes some credit to these earlier touchpoints when there’s statistical evidence they influenced the conversion. Attribution paths then show where those touchpoints occurred in the journey, giving you a directional view of their assist value. This isn’t causal “incrementality testing,” but it’s a practical way to highlight the contribution of upper-funnel Ads before requesting more budget.

Check Conversion Lag Before Tightening The Strategy

Time lag and path length metrics reveal how long users take to complete a conversion on average. If journeys average 10+ days, but you’re using a seven-day conversion window in Ads, your Smart Bidding may be cutting conversions off too early.

Segment By Conversion Type

A newsletter signup path looks very different from a qualified lead path. By selecting one key event at a time, you avoid combining low-value and high-value conversions, ensuring a more effective approach.

Validate Budget Shifts

The Attribution models report (sitting next to Attribution paths) shows how credit changes under DDA vs. last-click. Use Attribution paths to ensure that model-based reallocations reflect actual journeys, not anomalies.

For example, a B2B software advertiser discovered through Attribution Paths that most demo requests came from users who watched a YouTube awareness ad first, clicked a retargeting ad on Display, and then searched the brand name before converting. Under a last-click model, only the branded search ad received credit. But once path data revealed the full sequence, it became clear that the upper funnel was generating the demand, and the brand campaign was simply closing. With that context, the advertiser was able to justify maintaining a top-of-funnel budget.

Caveats You Can’t Ignore

Assisted Conversions Are Gone

Unlike Universal Analytics, GA4 doesn’t provide an “assists” metric. If you want it, you’ll need to export path data and calculate it manually.

Expect Discrepancies

Numbers in GA4’s Acquisition reports and Attribution paths often don’t line up. GA4’s Acquisition reports use different attribution logic depending on the report. User Acquisition attributes all credit to the first touch. Traffic Acquisition is attributed to the last non-direct touch. Key event (conversion) attribution is the only place where GA4 applies the property’s cross-channel attribution model (by default, data-driven). By contrast, the Attribution reports let you swap models entirely, compare outcomes, and even visualize how impressions or non-click touchpoints factor into paths. In other words, Acquisition reports show you who arrived and converted, while Attribution paths show you how credit is distributed across multiple interactions. Both are useful, but they’re answering different questions.

Data Availability

GA4 attribution only covers data from June 14, 2021, onwards, and only online touchpoints are covered by default.

Privacy, Sampling, And Model Lag

Modern attribution reports operate within data limits that every advertiser should account for. Privacy thresholds prevent Google from showing data when impression or click counts are too low, which is why some paths appear grouped under “Other.” Sampling can also affect the accuracy of multi-channel or multi-device reports, meaning figures should be treated directionally rather than as absolutes. Finally, attribution data has built-in lag: conversions that happen days after a click will backfill into earlier reports, so results from the past 24-48 hours are rarely complete. Waiting for that lag to settle before drawing conclusions gives automation a fairer dataset to learn from.

From Insights To Action In Google Ads

GA4 analysis means little unless you feed it back into your Ads strategy. Here’s how practitioners are using Attribution paths to shape accounts:

Import the right key events. Optimizing for form fills alone often floods Ads with spam. Instead, integrate your CRM and import sales qualified leads (SQLs) or other meaningful events as primary conversions.

Budget with “path context” in mind. If upper-funnel campaigns frequently appear in early path positions, avoid cutting their spend, even if the last-click ROI looks weak. They’re building journeys for your search campaigns to close later.

Control overlap with PMax. Performance Max campaigns behave like bottom-funnel, feed-driven engines, rather than true full-funnel campaigns. Attribution paths confirm this: If PMax dominates late-stage paths, don’t mistake it for incremental awareness.

Set guardrails. Guardrails are often just good account structure – negatives, segmentation, and clear bidding rules. Attribution insights only help if your Ads setup allows the algorithm to learn from them.

Why This Is The Moment To Care

Google has spent the past several years adding transparency: brand exclusions in PMax, channel reporting, and search terms data. But transparency in Ads itself is still limited. GA4 Attribution paths are where you can actually prove assist value, diagnose lag, and reframe conversations with stakeholders.

GA4’s reporting is messy, but if you know how to read it, you can tell a clearer story than Ads alone ever could.

GA4’s Attribution paths aren’t just a reporting feature. They’re one of the few places you can see the whole journey before Smart Bidding reduces everything to a single number. Treat it as a decision layer: Validate which campaigns deserve credit, import the right events into Ads, and use those insights to argue for budgets across the funnel.

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Featured Image: Anton Vierietin/Shutterstock

How AI is Helping Brands Convert More Customers [Webinar] via @sejournal, @hethr_campbell

Turn insights into smarter conversions and higher ROI.

AI is changing how customers convert. Are your landing pages and CRO strategies keeping up? 

Each missed lead is lost revenue. 

Relying on traditional tactics is no longer enough.

Join Laura Beussman, CMO of CallRail, and Ryan Johnson, CPO of CallRail, for a live webinar where you’ll learn how top marketing leaders are using AI to prioritize leads, optimize funnels, and drive measurable growth.

What You’ll Learn

  • How to automatically prioritize and convert your best leads.
  • How to spot funnel drop-off points that are costing revenue.
  • CRO tactics to make your marketing funnel work smarter, not harder.
  • How to identify the exact messaging that boosts conversions and ROI.

Why Attend

This webinar will give you the tools to capture more leads, surface actionable insights from interactions, remove friction slowing conversions, and automate your CRO playbook for ongoing growth.

Register now to gain actionable strategies for faster, smarter conversions with AI.

🛑 Can’t attend live? Register anyway, and we’ll send you the full recording.

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

6 AI Marketing Myths That Are Costing You Money [Webinar] via @sejournal, @duchessjenm

Stop letting AI drain your budget. Learn how to make it work for you.

Think AI can fully run your marketing strategy on autopilot? 

Or that AI-generated content should deliver instant results? 

It is time to bust the AI myths that are slowing you down and costing you money.

Join Bailey Beckham, Senior Partner Marketing Manager at CallRail, and Jennifer McDonald, Senior Marketing Manager at Search Engine Journal, on August 21, 2025, for an exclusive webinar. Get the insights you need to stop wasting time and money and start leveraging AI the right way.

In this session, you will learn:

Why this session is essential:

AI tools can’t run your strategy on autopilot. You need to make smarter decisions, ask the right questions, and guide your AI tools to work for you, not against you. 

This webinar will help you unlock AI’s full potential and optimize your content to improve your marketing performance.

Register now to learn how to get your content loved by AI, LLMs, and most importantly, your audience. Can’t attend live? Don’t worry, sign up anyway, and we will send you the on-demand recording.

The Great Reversal: Why Agencies Are Replacing PPC With Predictable SEO via @sejournal, @mktbrew

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

What if your client’s PPC budget could fund long-term organic growth instead?

Why do organic results dominate user clicks, but get sidelined in budget discussions?

Organic Drives 5x More Traffic Than PPC. Can We Prove It?

The Short Answer: Yes!

Over the past decade, digital marketers have witnessed a dramatic shift in how search budgets are allocated.

In the past decade, companies were funding SEO teams alongside PPC teams. However, a shift towards PPC-first has dominated the inbound marketing space.

Where Have SEO Budgets Gone?

Today, more than $150 billion is spent annually on paid search in the United States alone, while only $50 billion is invested in SEO.

That’s a 3-to-1 ratio, even though 90% of search clicks go to organic results, and only 10% to ads.

It’s not because paid search is more effective. Paid search is just easier to measure.

But that’s changing with the return of attribution within predictive SEO.

What Is Attribution?

Attribution in marketing is the process of identifying which touchpoints or channels contributed to a conversion or sale.

It helps us understand the customer journey so we can allocate budget more effectively and optimize campaigns for higher ROI.

As Google’s algorithms evolved, the cause-and-effect between SEO efforts and business outcomes became harder to prove.

Ranking fluctuations seemed random. Timelines stretched.

Clients became impatient.

Trackable Digital Marketing Has Destroyed SEO

With Google Ads, every dollar has a direct, reportable outcome:

  • Impressions.
  • Clicks.
  • Conversions.

SEO, by contrast, has long been:

  • A black box.

As a result, agencies and the clients that hire them followed the money, even when SEO’s results were higher.

PPC’s Direct Attribution Makes PPC Look More Important, But SEO Still Dominates

Hard facts:

  • SEO drives 5x more traffic than PPC.
  • Companies pay 3x more on PPC than SEO.
Image created by MarketBrew, August 2025

You Can Now Trace ROI Back To SEO

As a result, many SEO professionals and agencies want a way back to organic. Now, there is one, and it’s powered by attribution.

Attribution Is the Key to Measurable SEO Performance

Instead of sitting on the edge of the search engine’s black box, guessing what might happen, we can now go inside the SEO black box, to simulate how the algorithms behave, factor by factor, and observe exactly how rankings react to each change.

This is SEO with attribution.

Image created by MarketBrew, August 2025

With this model in place, you are no longer stuck saying “trust us.”

You can say, “Here’s what we changed. Here’s how rankings moved. Here’s the value of that movement.” Whether the change was a new internal link structure or a content improvement, it’s now visible, measurable, and attributable.

For the first time, SEO teams have a way to communicate performance in terms executives understand: cause, effect, and value.

This transparency is changing the way agencies operate. It turns SEO into a predictable system, not a gamble. And it arms client-facing teams with the evidence they need to justify the budget, or win it back.

How Agencies Are Replacing PPC With Measurable Organic SEO

For agencies, attribution opens the door to something much bigger than better reporting; it enables a completely new kind of offering: performance-based SEO.

Traditionally, SEO services have been sold as retainers or hourly engagements. Clients pay for effort, not outcomes. With attribution, agencies can now flip that model and say: You only pay when results happen.

Enter Market Brew’s AdShifted feature to model this value and success as shown here:

Screenshot from a video by MarketBrew, August 2025

The AdShift tool starts by entering a keyword to discover up to 4* competitive URLs for the Keyword’s Top Clustered Similarities. (*including your own website plus 4 top-ranking competitors)

Screenshot of PPC vs. MarketBrew comparison dashboard by Marketbrew, August 2025

AdShift averages CPC and search volume across all keywords and URLs, giving you a reliable market-wide estimate and details for your brand towards a monthly PPC investment to rank #1.

The dashboard of a business dashboard.
Screenshot of a dashboard by Marketbrew, August 2025

AdShift then calculates YOUR percentage of replacement for PPC to fund SEO.

This allows you to model your own Performance Plan with variable discounts available to the Market Brew license fees with an always less than 50% of PPC Fee for clicks replaced by new SEO traffic.

The dashboard for a business account.
Screenshot of a dashboard by Marketbrew, August 2025

AdShift simulates a PPC replacement plan option selected based on its keywords footprint to instantly see savings from the associated Performance Plans.

That’s the heart of the PPC replacement plan: a strategy you can use to gradually shift a  clients’ paid search budgets into measurable performance-based SEO.

What Is A PPC Replacement Plan? Trackable SEO.

A PPC replacement plan is a strategy in which agencies gradually shift their clients’ paid search budgets into organic investments, with measurable outcomes and shared performance incentives.

Here’s how it works:

  1. Benchmark Paid Spend: Identify the current Google Ads budget, i.e., $10,000 per month or $120,000 per year.
  2. Forecast Organic Value: Use search engine modeling to predict the lift in organic traffic from specific SEO tasks.
  3. Execute & Attribute: Complete tasks and monitor real-time changes in rankings and traffic.
  4. Charge on Impact: Instead of billing for time, bill for results, often at a fraction of the client’s former ad spend.

This is not about replacing all paid spend.

Branded queries and some high-value targets may remain in PPC. But for the large, expensive middle of the keyword funnel, agencies can now offer a smarter path: predictable, attributable organic results, at a lower cost-per-click, with better margins.

And most importantly, instead of lining Google’s pockets with PPC revenue, your investments begin to fuel both organic and LLM searches!

Real-World Proof That SEO Attribution Works

Agencies exploring this new attribution-powered model aren’t just intrigued … they’re energized. For many, it’s the first time in years that SEO feels like a strategic growth engine, not just a checklist of deliverables.

“We’ve pitched performance SEO to three clients this month alone,” said one digital strategy lead. “The ability to tie ranking improvements to specific tasks changed the entire conversation.”

Sean Myers, CEO, ThreeTech

Another partner shared,

“Instead of walking into meetings looking to justify an SEO retainer, we enter with a blueprint representing a SEO/GEO/AEO Search Engine’s ‘digital twin’ with the AI-driven tasks that show exactly what needs to be changed and the rankings it produces. Clients don’t question the value … they ask what’s next.”

Stephen Heitz, Chief Innovation Officer, LAVIDGE

Several agencies report that new business wins are increasing simply because they offer something different. While competitors stick to vague SEO promises or expensive PPC management, partners leveraging attribution offer clarity, accountability, and control.

And when the client sees that they’re paying less and getting more, it’s not a hard sell, it’s a long-term relationship.

A Smarter, More Profitable Model for Agencies and SEOs

The traditional agency model in search has become a maze of expectations.

Managing paid search may deliver short-term wins, but it comes to a bidding war with only those with the biggest budgets winning. SEO, meanwhile, has often felt like a thankless task … necessary but underappreciated, valuable but difficult to prove.

Attribution changes that.

For agencies, this is a path back to profitability and positioning. With attribution, you’re not just selling effort … you’re selling outcomes. And because the work is modeled and measured in advance, you can confidently offer performance plans that are both client-friendly and agency-profitable.

For SEOs, this is about getting the credit they deserve. Attribution allows practitioners to demonstrate their impact in concrete terms. Rankings don’t just move, … they move because of you. Traffic increases aren’t vague, … they’re connected to your specific strategies.

Now, you can show this.

Most importantly, this approach rebuilds trust.

Clients no longer have to guess what’s working. They see it. In dashboards, in forecasts, in side-by-side comparisons of where they were and where they are now. It restores SEO to a place of clarity and control where value is obvious, and investment is earned.

The industry has been waiting for this. And now, it’s here.

From PPC Dependence to Organic Dominance — Now Backed by Data

Search budgets have long been upside down, pouring billions into paid clicks that capture a mere fraction of user attention, while underfunding the organic channel that delivers lasting value.

Why? Because SEO lacked attribution.

That’s no longer the case.

Today, agencies and SEO professionals have the tools to prove what works, forecast what’s next, and get paid for the real value they deliver. It’s a shift that empowers agencies to move beyond bidding-war PPC management and into a lower cost & higher ROAS, performance-based SEO.

This isn’t just a new service mode it’s a rebalancing of power in search.

Organic is back. It’s measurable. It’s profitable. And it’s ready to take center stage again.

The only question is: will you be the agency or brand that leads the shift or watch as others do it first?

Citations

Image Credits

Featured Image: Image by Market Brew. Used with permission.

In-Post Image: Images by Market Brew. Used with permission.