DOJ Seeks Google Ad Manager Break Up As Remedies Trial Begins via @sejournal, @MattGSouthern

Google returns to court on Monday for the remedies phase of the Department of Justice’s ad-tech antitrust case, where the government is asking the judge to order a divestiture of Google Ad Manager.

The remedies trial follows a ruling that found Google illegally monopolized the publisher ad server and ad exchange markets, while rejecting claims about advertiser ad networks and Google’s past acquisitions.

In a statement published today, Google said it will appeal the earlier decision and argued the DOJ’s proposed remedies “go far beyond the Court’s liability decision and the law.”

What The DOJ Is Seeking

The Justice Department will seek structural remedies, which could include selling parts of Google’s ad-tech stack.

Based on reports and filings, the DOJ appears to be pushing for a divestiture of AdX, and possibly DFP, which are now combined within Google Ad Manager.

The remedies trial is scheduled to start Monday in Alexandria, Virginia, before U.S. District Judge Leonie M. Brinkema.

Google’s Counter

Google says a breakup would disrupt publishers and raise costs for advertisers.

The company proposes a behavioral fix focused on interoperability rather than divestiture.

In Google’s words:

“DOJ’s proposed changes go far beyond the Court’s liability decision and the law, and risk harming businesses across the country.”

“We propose building on Ad Manager’s interoperability, letting publishers use third-party tools to access our advertiser bids in real-time.”

These elements reflect Google’s May filing, which proposed making AdX’s real-time bids available to rival ad servers and phasing out Unified Pricing Rules for open-web display.

What The Court Already Decided

Judge Brinkema’s April opinion found Google violated the Sherman Act in the publisher ad server and ad exchange markets and unlawfully tied DFP and AdX.

The court didn’t find a monopoly in advertiser ad networks and rejected claims tied to Google’s acquisitions.

Why This Matters

Should the court decide on divestiture, you might see changes in how open-web display inventory is auctioned and served, along with costs for transitioning off integrated tools.

If the judge backs Google’s interoperability plan, you can expect required access to real-time bids and rule changes that could make multi-stack setups easier without a corporate split.

Looking Ahead

Google plans to appeal the liability decision, so any ordered remedies may be delayed until the appeal is reviewed.


Featured Image: Roman Samborskyi/Shutterstock

When Advertising Shifts To Prompts, What Should Advertisers Do? via @sejournal, @siliconvallaeys

When I last wrote about Google AI Mode, my focus was on the big differentiators: conversational prompts, memory-driven personalization, and the crucial pivot from keywords to context.

As we see with the Q2 ad platform financial results below, this shift is rapidly reshaping performance advertising. While AI Mode means Google has to rethink how it makes money, it forces us advertisers to rethink something even more fundamental: our entire strategy.

In the article about AI Mode, I laid out how prompts are different from keywords, why “synthetic keywords” are really just a temporary band-aid, and how fewer clicks might just challenge the age-old cost-per-click (CPC) revenue model.

This follow-up is about what these changes truly mean for us as advertisers, and why holding onto that keyword-era mindset could cost us our competitive edge.

The Great Rewiring Of Search

The biggest shift since we first got keyword-targeted online advertising is now in full swing. People aren’t searching with those relatively concise keywords anymore, the ones we optimized for how Google used to weigh certain words in a query.

Large language models (LLMs) have pretty much removed the shackles from the search bar. Now, users can fire off prompts with hundreds of words, and add even more context.

Think about the 400,000 token context window of GPT-5, which is like tens of thousands of words. Thankfully, most people don’t need that much space to explain what they want, but they are speaking in full sentences now, stutters and all.

Google’s internal ads in AI Mode document shares that early testers of AI Mode are asking queries that are two to three times as long as traditional searches on Google.

And thanks to LLMs’ multi-modal capabilities, users are searching with images (Google reports 20 billion Lens searches per month), drawing sketches, and even sending video. They’re finding what they need in entirely new ways.

Increasingly, users aren’t just looking for a list of what might be relevant. They expect a guided answer from the AI, one that summarizes options based on their personal preferences. People are asking AI to help them decide, not just to find.

And that fundamental change in user behavior is now reshaping the very platforms where these searches happen, starting with Google.

The Impact On Google As The Main Ads Platform

All of this definitely poses a threat to Google’s primary revenue stream. But as I mentioned in a LinkedIn post, the traffic didn’t vanish; it just moved.

Users didn’t ditch Google; they simply stopped using it the way they did when keywords were king. Plus, we’re seeing new players emerge, and search itself has fragmented:

This creates a fresh challenge for us advertisers: How do we design campaigns that actually perform when intent originates in these wildly new ways?

What Q2 Earnings Reports Told Us About AI In Search

The Q2 earnings calls were packed with GenAI details. Some of the most jaw-dropping figures involved the expected infrastructure investments.

Microsoft announced plans to spend an eye-watering $30 billion on capital expenditures in the coming quarter, and Alphabet estimated an $85 billion budget for the next year. I guess we’ll all be clicking a lot of ads to help pay for that. So, where will those ads come from when keywords are slowly being replaced by prompts?

Google shared some numbers to illustrate the scale of this shift. AI Overviews already reach 2 billion users a month. AI Mode itself is up to 100 million. The real question is, how is AI actually enabling better ads, and thus improving monetization?

Google reports:

  • Over 90 Performance Max improvements in the past year drove 10%+ more conversions and value.
  • Google’s AI Max for Search campaigns show a 27% lift in conversions or value over exact or phrase matches.

Microsoft Ads tells a similar story. In Q2 2025, it reported:

  • $13 billion in AI-related ad revenue.
  • Copilot-powered ads drove 2.3 times more conversions than traditional formats.
  • Users were 53% more likely to convert within 30 minutes.

So, what’s an advertiser to do with all this?

What Advertisers Should Do

As shared recently in a conversation with Kasim Aslam, these ecosystems are becoming intent originators. That old “search bar” is now a conversation, a screenshot, or even a voice command.

If your campaigns are still relying on waiting for someone to type a query, you’re showing up to the party late. Smart advertisers don’t just respond to intent; they predict it and position for it.

But how? Well, take a look at the Google products that are driving results for advertisers: They’re the newest AI-first offerings. Performance Max, for example, is keywordless advertising driven by feeds, creative, and audiences.

Another vital step for adapting to this shift is AI Max, which I’d call the most unrestrictive form of keyword advertising.

It blends elements of Dynamic Search Ads (DSAs), automatically created assets, and super broad keywords. This allows your ads to show up no matter how people search, even if they’re using those sprawling, multi-part prompts.

Sure, advertisers can still use today’s best practices, like reviewing search term reports and automatically created assets, then adding negatives or exclusions for the irrelevant ones. But let’s be honest, that’s a short-term, old-model approach.

As AI gains memory and contextual understanding, ads will be shown based on scenarios and user intent that isn’t even explicitly expressed.

Relying solely on negatives won’t cut it. The future demands that advertisers focus on getting involved earlier in the decision-making process and making sure the AI has all the right information to advocate for their brand.

Keywords Aren’t The Lever They Once Were

In the AI Mode era, prompts aren’t just simple queries; they’re rich, multi-turn conversations packed with context.

As I outlined in my last article, these interactions can pull in past sessions, images, and deeply personal preferences. No keyword list in the world can capture that level of nuance.

Tinuiti’s Q2 benchmark report shows Performance Max accounts for 59% of Shopping ad spend and delivers 18% higher click-through rates. This is a clear illustration that the platform is taking control of targeting.

And when structured feeds plus dynamic creative drive a 27% lift in conversions according to Google data, it’s because the creative itself is doing the targeting.

Those journeys happen out of sight, which is the biggest threat to advertisers whose strategies aren’t evolving.

The Real Danger: Invisible Decisions

One of my key takeaways from the AI Mode discussion was the risk of “zero-click” journeys. If the assistant delivers what a user needs inside the conversation, your brand might never get a visit.

According to Adobe Analytics, AI-powered referrals to U.S. retail sites grew 1,200% between July 2024 and February 2025. Traffic from these sources now doubles every 60 days.

These users:

  • Visit 12% more pages per session.
  • Bounce 23% less often.
  • Spend 45% more time browsing (especially in travel and finance verticals).

Even more importantly, 53% of users say they plan to rely on AI tools for shopping going forward.

In short, users are starting their journeys before they reach a traditional search engine, and they’re more engaged when they do. And winning in this environment means rethinking our levers for influence.

Why This Is An Opportunity, Not A Death Sentence

As I argued before, platforms aren’t killing keyword advertising; they’re evolving it. The advertisers winning now are leaning into the new levers:

Signals Over Keywords

  • Use customer relationship management (CRM) data to build high-intent audience lists.
  • Layer first-party data into automated campaign types through conversion value adjustments, audiences, or budget settings.
  • Optimize your product feed with rich attributes so AI has more to work with and knows exactly which products to recommend.
  • Ensure feed hygiene so LLMs have the most current data about your offers.
  • Enhance your website with more data for the LLMs to work with, like data tables, and schema.

Creative As Targeting

  • Build modular ad assets that AI can assemble dynamically: multiple headlines, descriptions, and images tailored to different audiences.
  • Test variations that align with different stages of the buying journey so you’re likely to show in more contextual scenarios across the entire consumer journey, not only at the end.

Measurement Beyond Clicks

  • Frequently evaluate the new metrics in Google Ads for AI Max and Performance Max. Changes are rolling out frequently, enabling smarter optimizations.
  • Track feed impression share by enabling these extra columns in Google Ads.
  • Monitor how often your products are surfaced in AI-driven recommendations, as with the recently updated AI Max report for “search terms and landing pages from AI Max.”
  • Focus your measurement on how well users are able to complete tasks, not just clicks.

The future isn’t about bidding on a query. It’s about supplying the AI with the best “raw ingredients” so you win the recommendation at the exact moment of decision.

That mindset shift is the real competitive advantage in the AI-first era.

The Bottom Line

My previous AI Mode post was about the mechanics of the shift. This one is about the mindset change required to survive it.

Keywords aren’t vanishing, but their role is shrinking fast. In an AI-driven, context-first search landscape, the brands that thrive will stop obsessing over what the user types and start shaping what the AI recommends.

If you can win that moment, you won’t just get found. You’ll get chosen.

More Resources:


Featured Image: Smile Studio AP/Shutterstock

Google AI Max For Search Goes Global In Beta via @sejournal, @MattGSouthern

Google’s AI Max for Search campaigns is now available worldwide in beta across Google Ads, Google Ads Editor, Search Ads 360, and the Google Ads API.

AI Max packages Google’s AI features as a one-click suite inside Search campaigns. New built-in experiments allow you to test the impact with minimal setup.

Image Credit: Google

What’s New

One-Click Experiments

AI Max is positioned as a faster path to smarter optimization inside Search campaigns.

New one-click experiments are integrated in the campaign flow, so you can compare performance without rebuilding campaigns.

Availability spans all major surfaces, including the API for teams that automate workflows.

How The Built-In Experiments Work

AI Max experiments are run within the same Search campaign by splitting traffic between a control (with AI Max off) and a trial (with AI Max on).

Since the test doesn’t clone the campaign, you’ll avoid sync errors and can ramp up faster. Once the experiment ends, review the performance and decide whether to apply the change or discard it.

Controls You Can Tweak During A Test

By default, your experiment starts with Search term matching and Asset optimization enabled, but it’s easy to customize these settings.

You can choose to turn off Search term matching at the ad group level or disable Asset optimization at the campaign level if that better suits your goals.

For more control over your landing pages, consider using URL exclusions at the campaign level and URL inclusions at the ad group level.

Brand controls are also available for added flexibility: you can set brand inclusions or exclusions at the campaign level, and specify brand inclusions within ad groups.

The “locations of interest” feature at the ad group level offers more geographic targeting precision.

Reporting Surfaces

Results appear under Experiments with an expanded Experiment summary.

AI Max also adds transparency across reports. These include “AI Max” match-type indicators in Search terms and Keywords reports, plus combined views that show the matched term, headlines, and landing URLs.

Auto-Apply Option

If you want, you can set the experiment to auto-apply when results are favorable. Otherwise, apply manually from the Experiments table or enable AI Max from Campaign settings after the test concludes.

Setup Limits To Know

You can’t create an AI Max experiment via this flow if the campaign:

  • Has legacy features like text customization (old ACA), brand inclusions/exclusions, or ad-group location inclusion already configured
  • Targets the Display Network
  • Uses a Portfolio bid strategy
  • Uses Shared budgets

Coming Soon: Text Guidelines

Google is working on a feature that will provide text guidelines to help AI create brand-safe content that meets your business needs.

This will be available to more advertisers this fall for both AI Max and Performance Max. In the meantime, stick to your usual brand approvals and policy checks.

Getting Started

Google recommends checking out a best-practices guide and Think Week materials if you’re interested in getting started with AI Max.

If you’re already handling Search at scale, the API support simplifies standardizing experiments and comparing results to your existing setup.

Looking Ahead

Expect more controls around creative and safety as text guidelines roll out. Until then, low-lift experiments let you measure AI Max without committing your entire account.

Google Quietly Raised Ad Prices, Court Orders More Transparency via @sejournal, @MattGSouthern

Google raised ad prices incrementally through internal “pricing knobs” that advertisers couldn’t detect, according to federal court documents.

  • Google raised ad prices 5-15% at a time using “pricing knobs” that made increases look like normal auction fluctuations.
  • Google’s surveys showed advertisers noticed higher costs but didn’t realize Google was causing the increases.
  • A federal judge now requires Google to publicly disclose auction changes that could raise advertiser costs.
How to Use Google Ads Performance Max Channel Reporting via @sejournal, @brookeosmundson

For years, marketers have asked for better visibility into how individual channels contribute to Performance Max results.

Google has released a tutorial walking advertisers through its new Performance Max channel reporting. This reporting feature offers more transparency into how campaigns perform across Search, YouTube, Display, Gmail, Discover, and Maps.

With this new report, you can now dig deeper into performance by channel and format, making it easier to analyze results and troubleshoot.

Here’s a look at how to find the report and what you can do with it.

Where to Find Channel Performance Reporting

To find and access the channel reporting, head to your Google Ads account.

From there, navigate to: Campaign >> Insights & Reports >> Channel Performance

google ads performance max channel reportingImage credit: Google, April 2025

Once you’re there, you’ll see these items:

  • A performance summary overview
  • A channel-to-goals visualization
  • Channel distribution table.

These items provide more than just a static view of performance. You’re able to click on specific channels to drill down into related reports, like placements on the Google Display Network, or Search Terms from the Search channel.

Exploring the Reports and Visualizations

The channel performance page isn’t just a high-level dashboard. It provides several views and reports that give you more context on how your ads are performing across Google’s network. Here’s a closer look at the most useful areas:

Ad Format Views

Not every ad performs the same across channels, which is why Google lets you break results down by ad format.

For example, you can see how video ads perform on YouTube compared to product ads shown on Search. This helps you spot whether one creative type is pulling more weight and whether you need to adjust your creative mix or budgets to support higher-performing formats.

Product-Driven Insights

If you’re running Shopping or retail campaigns, this section shows how ads tied to product data perform across channels.

You can see Shopping ads on Search as well as dynamic remarketing ads on Display. This gives ecommerce advertisers a clearer picture of how product feeds contribute to results beyond just one channel.

Channel Distribution Table

This table is one of the most detailed reports in the new view. It includes impressions, clicks, interactions, conversions, conversion value, and cost, all broken down by channel.

You can customize the table to highlight the metrics that matter most to your goals, such as ROAS or CPA, and even segment results by ad format (like video versus product ads).

Since the table is downloadable, you can also share it with teams or clients for transparent reporting.

Status Column and Diagnostics

The status column acts as a built-in troubleshooting tool. It surfaces issues or recommendations related to specific channels or formats, such as diagnostic warnings if ads aren’t serving as expected.

By reviewing these, you can quickly identify where performance may be limited and take action to resolve issues before they affect results at scale.

Reviewing Single-Channel vs. Cross-Channel CPA

One important takeaway from Google’s tutorial is that looking at average CPA or ROAS for a single channel doesn’t tell the full story.

Performance Max uses marginal ROI optimization, bidding in real time for the most cost-efficient conversions across all channels.

Since users don’t interact with just one channel, this cross-channel view helps advertisers see the broader picture of how campaigns drive results.

That means when evaluating effectiveness, Google recommends to prioritize your goals and audiences over individual channel performance.

How Advertisers Can Benefit From Performance Max Channel Reporting

The new reporting doesn’t change how Performance Max works behind the scenes, but it does help you:

  • Understand which channels support your goals most effectively
  • Identify areas where specific ad formats or channels may need creative or budget adjustments
  • Communicate results more clearly with stakeholders by showing cross-channel contributions

With Search Partner Network reporting coming in the future, Google is signaling a continued investment in giving advertisers deeper visibility.

Performance Max remains a cross-channel campaign type, but channel reporting is a welcome step toward transparency. By digging into these reports, advertisers can better understand how ads perform across Google properties and make smarter optimization decisions.

Google: AI Max For Search Has No Conversion Minimums via @sejournal, @MattGSouthern

Google states that AI Max for Search can run in low-volume accounts, confirming there’s no minimum conversion recommendation.

However, you must use a conversion-based Smart Bidding strategy for search-term matching to work.

The clarification was provided during Google’s Ads Decoded podcast, where product managers discussed recent launches.

What Google Said

In the “Ads Decoded” podcast episode, Ginny Marvin, Google’s Ads Product Liaison, addressed whether low-volume accounts can use AI Max.

Marvin stated:

“In earlier testing, we’ve seen that AI Max can be effective for accounts of varied sizes… And there’s no minimum conversion recommendation to enable AI Max, but keep in mind that you do need to use a conversion-based smart bidding strategy in order for search term matching to work.”

This smart bidding requirement ensures the system has signals to work with, even if conversion volume is low.

Hear hear full response in the video below:

Where Smaller Accounts May See Gains

Google says advertisers “mostly using exact and phrase match keywords tend to see the highest uplift in conversions and conversion value” after enabling AI Max.

Keywordless matching can help smaller advertisers find opportunities without extensive research. AI Max identifies relevant search terms based on landing page content and existing ads.

For local campaigns, advertisers can use simple keywords instead of creating separate ones for each location. AI Max handles the geographic matching.

How AI Max Works In Search

AI Max pulls from more than just landing pages. It also uses ad assets and ad-group keywords to expand coverage and tailor RSA copy.

For English content, it’s capable of generating ad variations within brand guardrails.

Product manager Karen Zang described AI Max as an enhancer to existing work:

“I would view AI Max as an amplifier on the work that you’ve already put in… we’re just leveraging that to customize your ads.”

Product manager Tal Kabas framed AI Max as bringing Performance Max-level technology into Search:

“If you’re using all the best practices with AI Max… then it is PMax technology for Search. We wanted to basically bring that value to advertisers wherever they want to buy.”

Implementation Considerations

Small advertisers considering AI MAX should take these preparation steps into account.

First, ensure landing pages are current, as the AI uses them to generate ad variations. Poor or outdated landing page content can negatively impact the output, regardless of account size.

Second, use conversion tracking even if volume is low. While there are no minimums, having any conversion data helps. Smart bidding strategies, such as Target CPA or Target ROAS, must be in place for full functionality.

Third, start with campaigns that use exact and phrase match keywords, as Google’s data shows they benefit the most from AI Max.

Looking Ahead

AI Max is accessible to advertisers of all sizes.

The one-click implementation allows you to test AI Max without restructuring your campaigns. If results don’t meet your expectations, the feature can be disabled.

Google indicated this is the first phase of AI Max development, with more features planned.

Google Brings Loyalty Offerings To Merchant Retailers via @sejournal, @brookeosmundson

Google has announced a new set of Merchant loyalty offerings, giving retailers a way to surface existing member perks.

Retailers who have loyalty offerings to their customers, such exclusive pricing, shipping, and points, can now show across both free listings and paid Shopping ads.

In addition to the loyalty offering, Google Ads is introducing a new loyalty goal to help brands optimize toward higher-value customers rather than focusing purely on short-term clicks.

The move, which officially launched on August 26, 2025, signals Google’s deeper investment in connecting retention strategies with its commerce ecosystem.

For retailers already managing robust loyalty programs, this rollout could be an opportunity to strengthen visibility and attract repeat shoppers directly within Google surfaces.

What is the New Loyalty Offering?

Merchant Center retailers can now activate a loyalty add-on within Merchant Center to display member benefits in Google Shopping results.

This includes member-only pricing, shipping perks, or points. This can appear across Search, the Shopping tab, free listings, as well as Wallet.

To go along with this loyalty offering, Google Ads is now offering a loyalty goal.

This gives advertisers the ability to steer Smart Bidding toward audiences with a higher lifetime value. This means campaign optimization shifts from a narrow one-time transaction focus to a longer-term view that considers repeat purchases and retention.

Where do Loyalty Perks Show Up?

Loyalty benefits can now appear across multiple touchpoints. Shoppers may see a member price next to the standard price or a shipping perk highlighted in listings.

Loyalty offerings example in Google Shopping adImage credit: Google Ads, August 2025

In the United States, retailers using Customer Match can show personalized loyalty annotations to identified members.

Google also allows member pricing to appear for unknown members in the U.S. and Australia, with more countries currently in beta testing.

This shift makes loyalty more visible during product research and comparison, when shoppers are deciding where to buy.

Who Can Take Advantage of Loyalty Offerings?

The program is currently available in the U.S., U.K., Germany, France, and Australia. Merchants must have an existing loyalty program and enable the loyalty add-on within Merchant Center.

To qualify, member pricing discounts must be at least 5% off or five units of local currency. Only national-level loyalty pricing is supported, and if a site-wide promotion is running, that will override any member pricing in ads.

Importantly, retailers need to use the dedicated “loyalty_program” attribute in their product feed. This supplies details like:

  • Member price
  • Points
  • Shipping benefits
  • Other member perks.

Google requires consistency between submitted feed data and what appears on-site.

Customer Match is required to show known-member personalization in ads within the U.S. Google is also piloting its use in free listings.

How do Retailers Get Started?

Retailers should begin by enabling the loyalty add-on in Merchant Center. Membership tiers and benefits must be clearly defined.

Feeds should be updated with the correct “loyalty_program” attributes. Customer Match lists need to be uploaded and kept current to unlock personalization for U.S. shoppers.

From there, testing the new loyalty goal in Google Ads will be key. Advertisers should compare performance against other bid strategies and review Merchant Center’s loyalty reporting to measure impact.

Highlighting Membership Value

Google’s loyalty features give retailers new ways to highlight membership value where it matters most: at the point of discovery. By surfacing perks in Search and Shopping, brands can differentiate themselves before the click.

The addition of a loyalty goal also encourages smarter optimization. Campaigns can focus not just on conversion volume but on the quality and long-term value of customers.

For retailers with established loyalty programs, this rollout is worth exploring now. It connects retention strategies with acquisition in a way that could drive measurable impact.

Ad Hijacking Explained: Over $12 Billion Lost To Hidden Tactics

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

Have you ever seen an ad that looks just like your favorite brand’s ad, but isn’t? Ad hijacking.

Ever clicked an ad expecting to reach Nike’s website but ended up on some random store you’d never heard of? Ad hijacking.

It happens to thousands of companies that run paid ads, and you’re not immune.

More people are buying products and services online.

With $6 trillion being spent by online shoppers in 2024 (CapitalOneShopping Research), the competition for ad placement is fierce.

If someone hijacks your ads, you:

  • lose traffic.
  • lose money.
  • lose trust.

Ad hijacking harms your brand and ad performance.

Learn how to detect ad hijacking, stop affiliate abuse, and protect your traffic in 2025.

What Is Ad Hijacking?

Ad hijacking, by definition, is a form of advertising fraud where someone pretends to be your brand in paid search ads (like Google or other platforms). The fraudsters copy your brand name, your ad style, even your messaging, so the ad looks real.

But when a customer clicks, they’re sent somewhere else.

Ad Hijacking in Action: Real-World ExampleImage created by Bluepear, August 2025

There are two common types:

  • Affiliate ad hijacking.
  • Competitor ad hijacking.

What Is Affiliate Ad Hijacking?

Affiliate ad hijacking happens when partners in your affiliate program bid on your brand name.

They:

  • copy your ad (same headline, same style) so it looks like the real thing.

The Result: The customer thinks they’re clicking on your official site because the ad looks the same. But behind the scenes, the affiliate redirects the traffic through their own tracking link.

You end up paying them a commission for a customer who was already looking for you. This inflates your costs, pollutes your data, and makes it harder to measure real performance.

Example: A user searches for [Super Tools]. An affiliate runs an ad with the headline “Super Tools Official Site,” but the link is an affiliate redirect. You pay them a cut, even though they didn’t bring in new traffic.

From Detection to Evidence: DashboardImage created by Bluepear, August 2025

What Is Competitor Ad Hijacking?

Competitor ad hijacking is when a rival company copies your brand in search ads to steal your traffic.

They:

  • bid on your brand name,
  • use ad text that looks like yours,
  • sometimes even mimic your domain.

The Result: Customers click, thinking they’re going to your site. But instead, they land on the competitor’s website.

This tactic lets competitors capture high-intent traffic. As a result, you lose potential sales, while they gain market share. Without PPC brand protection, your brand presence can be weakened, allowing competitors to grow faster at your expense.

Example: A competitor bids on “Super Tools” and runs a lookalike ad. The user clicks, expecting your site, but lands on the competitor’s product page instead. You lose a sale and possibly the customer’s trust.

As you see, search hijacking is already a serious threat to your brand and budget. It’s made even worse by how well the violators hide their tracks.

Secret Tactics That Are Used To Hide Ad Hijacking

Non-compliant partners use smart tactics to avoid being seen by brand owners or their teams. Here’s how they do it:

  • GEO targeting. Ads are shown only in specific countries, cities, or regions. If you’re not in that area, you’ll never see them – but your local customers will.
  • Dayparting. Hijackers run ads at night, on weekends, or during holidays when your team is less likely to notice them.
  • Cloaking and dynamic redirects. They use scripts to show one version of the ad or landing page to Google (to pass review) and a different one to users – usually a fake or affiliate redirect.
  • Smaller search engines. Many hijackers avoid Google and run campaigns on Bing or other second-tier platforms, where rules are looser and tracking is weaker.

Without proper hijacking prevention, these tactics make it easy for hijackers to hide and hard for your team to catch them in time.

Direct Impact Of Ad Hijacking On Your Company

The impact of affiliate ad hijacking goes far beyond a few stolen clicks. It damages performance, costs money, and creates serious risks for your business:

  • Lost ad budget. You pay commissions to affiliates who didn’t bring you new traffic; they just hijacked what was already yours.
  • Higher CPC and more competition. Hijackers bid on your brand keywords, driving up your costs and competing against your own campaigns.
  • Broken attribution. Without hijacking prevention, your analytics get messy. It becomes harder to measure what’s really working because affiliate hijacking inflates performance data.
  • Reputation damage. Users may land on shady or misleading pages. They won’t know it’s not your site – they’ll just stop trusting your brand.
  • Compliance risks. If you’re in a regulated industry (finance, health, etc.), fake ads and unapproved messaging can create legal trouble or policy violations.

Search hijacking doesn’t just hurt your numbers. It makes you question the data you rely on, wastes hours chasing false leads, and forces you to fight for traffic that was already yours.

The Hidden Cost of Ad HijackingImage created by Bluepear, August 2025
  • 85% of consumers avoid buying from brands that generate unsafe experiences, and ad hijacking falls into that bucket (PwC Report).
  • 75% of ad hijacking comes from affiliate partners exploiting tracking gaps to earn unearned commissions (Neilpatel).
  • Up to 30% of affiliate commissions come from hijacking and similar deceptive tactics (AffiliateWP).
  • Ad hijacking caused an estimated $12.6 billion in losses in 2023, based on 15% of the $84 billion lost to ad fraud globally (Juniper Research).

How To Spot And Prevent Ad Hijacking

What actually works on PPC brand protection? To uncover real issues, you need tools and methods that go beyond surface metrics:

Step 1: Quick Manual Checks

  • Run branded keyword searches and audit SERPs – look for near-identical copy linking to another domain.
  • Watch for anomalies in performance (CPC spikes, conversion drops, affiliate surges).
  • Review affiliate conversion patterns – unusual regional spikes may signal fraud.
  • Geo-test with VPNs or third-party tools to uncover geo-targeted hijacks.
  • Track impression share – sudden drops without budget changes mean new competition.

Step 2: Scalable Prevention Tactics

  • Behavioral simulation: Mimic real user searches across devices and browsers to reveal hidden hijacks.
  • Geo-rotation & proxy use: Detect localized hijacking attempts.
  • Proof collection: Document ads, redirects, affiliate IDs, and keywords for enforcement.
  • Real-time alerts & auto takedown: Get notified instantly and stop fraudulent ads before they drain your budget.

By combining manual checks and scalable tools, you can take control before search hijacking quietly eats into your ad spend.

Manual checks can’t keep up with how ad hijacking works today. Hijackers often run ads only in certain regions, at non-working hours, or under specific conditions. They use cloaking and redirects that can’t be detected with regular checks.

Most teams lack the time and capability to ensure hijacking prevention through manual monitoring alone.

That’s why ad hijacking tools like Bluepear are essential – as PPC brand protection software, they automate continuous scanning of search results to catch every sneaky ad trying to hijack your traffic and budget.

Here’s how Bluepear helps to fight against ad hijacking:

  • Simulates real user behavior. Bluepear mimics how actual customers search (using different devices, times, and locations) to trigger hidden hijack ads.
  • Uncovers hidden redirects and de-cloaks landing pages. It follows the full click path to spot when a user is being secretly redirected or sent to a misleading page.
  • Collects clear evidence. Every violation is logged with full details: screenshots, affiliate IDs, keywords, redirect chains – all in one report.
  • Sends instant alerts and supports takedowns. When a hijack is detected, you get an alert right away. Bluepear provides clear evidence so that you can remove bad ads fast to stop further damage.

Ad hijacking tools aren’t an excess. If you want to survive in a world of smart fraud, automated PPC brand protection is a must.

Bluepear featuresImage created by Bluepear, August 2025

Protect Your Brand From Ad Hijacking

Ad hijacking quietly eats into your ad budget, distorts your performance data, and damages user trust. Manual audits rarely catch it. Hijackers use GEO targeting, dayparting, and cloaking to stay hidden while stealing high-intent traffic and commissions.

Are you sure no one is hijacking your branded ads?

Bluepear helps you catch what others miss. The ad hijacking tool automatically checks SERPs from different GEOs, devices, and browsers to keep your brand protected from fraud.

Try Bluepear free for 7 days to see if your brand is being hijacked – and stop the budget loss.


Image Credits

Featured Image: Image by Bluepear. Used with permission.

In-Post Images:Image by Bluepear. Used with permission.

The 5-Step Process To Setting Crystal Clear PPC Goals via @sejournal, @MenachemAni

Many agencies and marketers believe that success in paid media is primarily down to the quality of your ads or the specificity of your landing pages.

While those elements are important, they’re meaningless unless they sit on a foundation of alignment with client needs.

The cleanest account structure and flawless creatives may hit every platform benchmark, but any success will be short-lived if you’re not clued into what’s actually important to your clients.

Higher revenues, more profit, better lead quality, shorter sales cycles – this is what typically matters to the people paying the bills.

At JXT Group, we make sure that the foundation is laid before building a single campaign by gathering a clear picture of how our clients make money, who their ideal customers are, and what a proper conversion looks like.

Here are the five phases we use to engineer that experience.

1. Understand The Business Model

Financially, most Google Ads clients can be split into one of two business models: those that sell products at face value and those that want leads who convert at a later date, typically through an offline interaction.

Verticals like ecommerce and info products sell their goods (physical or otherwise) at face value, allowing you to see revenue figures inside of Google Ads.

Verticals like local services and SaaS rely on capturing interest in the form of phone calls, form fills, and chat sessions. These leads may or may not turn into actual sales later.

Anyone dealing with physical products also has to factor cash flow, procurement costs, shipping fees, and return rates into both how much they can spend as well as how much return they need on their ad spend.

This means that the same 4x return on ad spend (ROAS) can be great for one brand with low expenses, but put another underwater.

It’s why you cannot use platform metrics like ROAS while ignoring what actually results in net profit after fulfillment.

And leads need to be both high in quality and catered to promptly; otherwise, brands run the risk of low final conversion rates.

As marketers, we want to drive the right type of leads at a cost that matches a client’s close rates and order values, resulting in longer feedback loops and tighter customer relationship management (CRM) integration so we can optimize to actual revenue.

2. Match Goals To Client Priorities

Simply put, not every client is chasing the same outcome.

Some want to scale aggressively and are comfortable with a higher cost-per-acquisition (CPA), while others are laser-focused on efficiency and won’t move unless the numbers are dialed in.

I’ve worked with brands whose main goal was a clean presence, ensuring their ads show only on high-quality placements and live up to their internal values.

There are other niche goals, like outbidding a certain competitor or positioning themselves with a certain audience. All of these are valid, but they require different approaches.

Obviously, you can’t do anything until you figure out what matters most to the client. It might sound obvious, but too many agencies make assumptions based on platform key performance indicators (KPIs).

Just because Google says a campaign is performing “well” doesn’t mean it’s aligned with your client’s goals.

We start by asking the right questions, such as:

  • What would success look like six to 12 months from now?
  • Is your first priority profitability, growth, market share, or brand presence?
  • Would you rather trade volume for efficiency or efficiency for volume?

Once that’s established, we structure everything else around it:

  • How much budget is required.
  • Which campaign types to run and how to structure them.
  • What bid strategies we use.
  • How broad or narrow our targeting needs to be.
  • Messaging on ads and landing pages.
  • Negative keyword lists.
  • Targets for impression share, ROAS/CPA, and other KPIs.

Without these first foundational layers, everything else you do is just guesswork.

3. Set Comprehensive And Specific Goals

Once we understand the client’s business model and goals, it’s time to layer in our expertise. This part involves setting realistic goals that balance client desires with what we know is possible.

We’ll typically call on our vertical knowledge, experiences with past clients, and our understanding of unit economics and fulfillment to paint a complete picture.

There’s no room for mistakes like setting an arbitrary ROAS goal without asking what that revenue actually does for the business. After all, a 3x ROAS doesn’t mean much if the margins are thin or there are hidden costs later on.

With lead generation, the conversion doesn’t end with our intake form. In fact, it’s only the first step. The real value happens offline, when the lead turns into a paying customer, and Google has no visibility.

That gap is where the greatest insights and opportunities lie, and it’s vital that we account for it.

Here’s how to goal-set so that media performance ties back to real-world business needs.

Ecommerce

1. Look at the numbers behind the numbers.

This means breaking down the client’s cost structure.

What’s the cost of goods sold? How much does shipping cost per order? Are there fulfillment fees, returns, or seasonal procurement issues? How many other vendors get paid whose fees need to be accounted for in the ROAS target?

These offline costs directly impact ad sustainability.

2. Understand margins at the SKU or category level.

Not every product has the same margin, so some items can scale at a lower ROAS while others need to stay profitable at first touch.

We try to segment products by margin so we can set different targets where it makes sense.

3. Factor in blended performance.

A customer might enter the funnel through Google Ads but convert through another channel, like email.

We’ll study how Google fits into the entire ecosystem rather than trust a narrow window of last-click attribution, so that we can temper expectations based on how it all fits together.

4. Set realistic ROAS targets.

Once we understand the financials, it’s time to work backwards.

What’s the minimum ROAS needed to break even? What target ROAS will let the brand hit profitability goals?

This becomes our baseline and gives us a platform from which to build situational variance for things like seasonal demand, new product launches, and what competitors are doing.

5. Clarify the business objective behind the spend.

Not all brands spend on ads for the same reason. Some want to acquire new customers, others want to clear out inventory, and others still are launching a new product or range.

Each of these goals needs its own approach to bidding, creative, and measurement.

Lead Generation

1. Map the full conversion journey.

What happens after a lead submits a form or makes a call? Who follows up, how quickly, and what’s the typical close rate?

There is a full post-click sales flow that exists after someone registers their interest. If we don’t understand it, we’re optimizing in the dark.

2. Quantify the value of a lead.

Different leads have different values, and Google is not privy to any of this unless you share that data back as offline conversions.

For lead gen clients, we look at historical data on how many leads turn into sales and how quickly, what the average deal size is, and what the margin looks like.

Then, we set up integrations between Google Ads and their CRM to feed this data back and optimize against it.

3. Use the funnel to set a target CPA.

Once we know things like typical deal value and close rate, we can reverse engineer our way to a CPA that leaves enough margin on the plate.

For example, needing 30 leads to close one deal worth $1,000 gives us very limited margins and runs the risk of blowing through the market.

A client that closes 1 in 10 leads with a $5,000 average sale gives us a much higher ceiling on what they can pay per lead while staying profitable.

4. Control anything we can post-click.

Lead gen gives us a greater opportunity to influence conversions after they click. This means landing page user experience and messaging, form length and format, automated email follow-ups, and CRM workflows.

Small changes here can have an outsized impact on close rates and lead quality.

4. Employ Active Listening During Conversations

Meeting with a new client is a bit like hanging out with someone new for the first time. They might not be willing to dive deep or share as openly as we’d like, but it’s our job to make them feel comfortable enough to do so.

Surface-level answers will only take us so far. To set a truly solid strategy, we want to listen to what’s in the spaces between their words.

What are they really trying to solve? Are they really after more profit or market share, or do they just want cleaner reporting now that they have investors to answer to?

A client might say they want “more leads” when what they really need are better leads that their sales team can actually close, but you’ll never see that light if you take everything they say at face value.

Active listening shows up in the details:

  • Picking up on how the client talks about their sales process, not just the form submission.
  • Hearing concerns about inventory issues before pushing hard on a best-seller.
  • Noticing when a CEO cares more about market visibility than ROAS.

It’s a skill that takes time to develop, but it’s also the only way to avoid misalignment and really build trust.

Get this right, and your client will feel like you’re there to make them look great and are willing to run through brick walls for them.

5. Ask Probing, Leading Questions To Reveal The Full Picture

Potential clients who put up walls need you to cut through the noise.

These questions will help you get to the real motivation behind their desire to spend on paid search, as well as allow you to spot red flags that might indicate a difficult client.

Business Direction

  • What would success look like to you in the next six to 12 months? This helps them move beyond “more leads” or “better ROAS” and focus on outcomes.
  • If Google Ads disappeared tomorrow, what would break in your business? This reveals how critical paid media is to their revenue engine.
  • Is this about profitability, growth, or positioning? Few clients won’t say “all three,” but keep pressing, and they’ll tell you what they’d sacrifice first.
  • Are you looking to maintain, grow, or exit? You should know if they’re scaling to sell, which changes everything about risk tolerance and KPIs.

Finance & Economics

  • What’s your average profit margin after all costs, e.g., ads, fulfillment, labor? If they don’t have this information ready and can’t/won’t source it, that should be a red flag about their openness.
  • What do you pay to acquire a customer? What’s the most you can afford to pay? See if they’re thinking in terms of lifetime value or just looking at front-end performance.
  • Do we need to factor in any fixed costs that most media buyers wouldn’t know about? It opens the door to discussions about warehousing, returns, sales commissions, etc.

Lead Quality & Sales Process

  • What do you consider to be a “qualified” lead? This forces them to define quality, which is far superior to treating all leads the same or leaving the definition vague.
  • What happens after a lead comes through? You want to know how long it usually takes to close a deal and what their team does to facilitate that. The answer will show you how strong or weak their internal follow-up process is.
  • How often do you listen to sales calls or review what’s happening post-click? If the answer is never, it tells you the magnitude of the support they’ll need to improve close rates. This might not be something you can control.

Bottlenecks & Internal Dynamics

  • Who has the final say on marketing and business decisions? You’ll avoid many headaches and painful back-and-forth by establishing this upfront.
  • What have you tried in the past that didn’t work, and why not? Ask this to get insight into previous agency relationships, internal friction, or unrealistic expectations.
  • If we start today and in six months you’re unhappy, what will have gone wrong? This one is gold as it can expose fears, past traumas, and give you a roadmap on how to hit alignment.

But, even if you get all these answers and follow all the advice in this article, communication with your clients is the key to establishing a relationship where you’re trusted and given space to operate.

Without proactive and consistent two-way communication, their perceptions may not align with what you’re doing.

Remember: You’re The Expert, But You’re Not In Charge

One thing many agencies and marketers tend to forget as they manage thousands and millions of dollars in ad spend is that we build on leased land. These are not our accounts and campaigns, and we don’t pay the advertising bills.

So, even though it’s important for clients to defer to our expertise, ultimately, they’re the ones who call the shots when it comes to direction and strategy.

The other angle to this is that it’s not our job to make ourselves look good or even to get a solid case study out of an engagement; those are bonuses.

Our job is to service client needs, maximize results within the spend allocated to us, and make our clients look phenomenal in front of the people they answer to.

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Featured Image: ugguggu/Shutterstock

Google Confirms New Google Verified Badge for Local Services Ads via @sejournal, @brookeosmundson

Google just announced a new unifying identity for its Local Services Ads (LSAs) verification badges.

Called Google Verified, the badge will replace several different trust signals that advertisers and consumers have been seeing over the years.

This includes the Google Guaranteed, Google Screened, License Verified by Google, and the Money Back Guarantee program.

Starting in October 2025, eligible LSAs that pass the necessary screenings will display this streamlined mark: a single badge designed to communicate credibility in a more consistent way.

Why is Google Consolidating Badges?

In the past, Google’s verification system was fragmented.

Different types of businesses had different badges, and consumers were left guessing what each one actually meant. Was a “Screened” provider more trustworthy than a “Guaranteed” one? Did a license verification carry more weight than a money-back promise?

The lack of consistency made it harder for advertisers to explain their value and for consumers to make decisions.

By rolling everything into one identity, Google Verified aims to simplify the process for everyone involved.

The badge will not only appear across Local Service Ads but will also include transparency for consumers. When a user taps or hovers over the badge, they can see the specific checks a business has passed.

How Does This Change Impact Advertisers?

For marketers and business owners, the simplified badge system removes some of the confusion around what signals matter.

Instead of juggling multiple programs, the message is now clear: your business is either Google Verified, or it’s not.

That said, the bar for participation may feel higher. Businesses that don’t keep their documentation, licensing, and other requirements up to date risk losing the badge.

Since Google has indicated it may only show the badge when it predicts it will help users make decisions, credibility and visibility could become even more closely linked.

In short, advertisers who maintain verification stand to benefit from increased trust, while those who lag behind could see their ads appear less competitive.

This update doesn’t require marketers to overhaul their entire strategy by any means. However, there are a few practical steps you can take to ensure a smooth transition by October.

  • Review eligibility now. Make sure your licenses, insurance, and background checks are up-to-date before October.
  • Build in reminders. Treat verification like an ongoing compliance process, not a one-time task.
  • Educate clients or internal teams. If you manage LSA campaigns for others, help them understand that the badge isn’t just a cosmetic update. It reflects ongoing credibility.
  • Monitor performance post-launch. Once the new badge rolls out, watch for shifts in click-thru rate (CTR) and conversion rates. If verification gives a measurable lift, you’ll want to highlight that value in your reporting.

A Shift Toward Ongoing Trust

Google Verified may look like a rebrand on the surface, but it’s also a signal that trust in digital advertising is moving toward continuous validation.

For businesses, this means credibility is not something you earn once; it’s something you prove over and over again.

For advertisers, the key takeaway is simple: don’t treat this as a one-time update. Verification will become an expectation, not a nice-to-have, and it could influence not just how consumers view your ads but how often those ads are shown.