Category: Advertising

Why I Treat Creative as the Best Broad Targeting Filter

Across Google Ads, Meta, and TikTok, I’m seeing platforms push advertisers toward broader, AI-driven targeting. Performance Max, Advantage+ campaigns, and TikTok’s automated audience expansion give algorithms more room to find converters, but they also reduce how much control I have over exactly who sees each ad.

That shift is changing how I think about campaign qualification.

As targeting becomes broader, creative has become one of the most important signals for both people and algorithms. I no longer see audience qualification as something that happens only inside targeting settings. More and more, it happens inside the message itself.

In other words, broad targeting is making creative my best qualifier.

The shift from audience qualification to creative qualification

For years, I treated targeting as the primary lever for improving lead quality. If I needed prospective graduate students, I could layer education interests, demographics, and remarketing audiences. If I needed patients looking for specialized care, I could build audiences around health-related behaviors and intent signals. If I needed insurance shoppers, I could narrow targeting by age, life stage, and consumer interests.

Those approaches are not disappearing, but I can see their influence shrinking. Platforms increasingly ask me to provide broad audience inputs, strong conversion signals, and compelling creative, then let machine learning determine who is most likely to convert.

Meta’s Advantage+ ecosystem, Google’s Performance Max campaigns, and TikTok’s recommendation engine all operate on this principle.

The challenge is that algorithms still need signals.

Conversion data remains the strongest signal, but I believe creative is becoming more important in helping platforms understand who should engage with an ad. Every headline, image, video, and call to action gives the system more context about the intended audience and the desired action.

Creative is no longer just a persuasion tool. I now treat it as a targeting signal.

Why broad targeting requires more intentional creative

I still see many advertisers create ads as if targeting will do all the audience qualification for them.

The messaging stays broad because the assumption is that audience settings will narrow who sees the ad. But when platforms expand delivery beyond tightly defined segments, vague creative can attract engagement from people who are unlikely to become qualified leads.

The consequences are familiar: lower lead quality, higher cost per qualified lead, less efficient optimization, and noisier conversion data.

That is why I need creative that clearly communicates who the offer is for, and just as importantly, who it is not for.

The goal is not simply more clicks or more video views. The goal is engagement from the right people.

When my creative clearly identifies the audience, users can self-select. Qualified prospects lean in. Unqualified prospects move on. Both outcomes improve campaign performance and give machine learning systems cleaner signals.

Higher education: When creative becomes the targeting layer

Higher education is one area where I see this shift clearly.

Historically, campaigns relied heavily on demographic filters, education interests, degree status, and segmented audience lists to reach prospective students.

Today, many strong-performing campaigns use broad lookalike audiences, Advantage+ audiences, or broad prospecting structures designed to maximize audience size and algorithmic learning.

But broader audiences create a real challenge.

If I am promoting an online Master of Science in Data Analytics program, I do not need just any prospective student. I need prospects who meet specific admission and career criteria. They may already hold a bachelor’s degree. They may have professional experience. They may want to move into leadership or pivot into a more technical career path.

Rather than relying only on targeting settings to communicate those distinctions, I would build them directly into the creative.

Consider the difference between a generic headline like “Advance your career with a Data Analytics degree” and a qualifying headline like “Built for bachelor’s degree holders ready to advance into leadership – earn your online M.S. in Data Analytics.”

The second example immediately signals who the program is for. Undergraduate prospects are less likely to engage, while qualified graduate prospects are more likely to click, convert, and reinforce positive optimization signals.

In that case, the creative itself becomes the qualification mechanism.

Google Performance Max: Creative guides the algorithm

Google Performance Max may be the clearest example of this industry-wide shift.

Despite the name, audience signals are not strict targeting controls. I treat them as starting points that help Google’s systems learn. Ultimately, Google decides where and to whom ads are shown across Search, YouTube, Display, Discover, Gmail, and Maps.

Because I have less direct control over audience selection, creative assets become increasingly important in helping Google’s systems understand who should respond.

Imagine I am helping a healthcare provider promote orthopedic services. A generic headline might say, “Expert Care for Your Health Needs.” While that may be technically accurate, it gives very little context about the intended audience.

A stronger alternative would be, “Persistent Knee Pain? Meet with Our Orthopedic Specialists.”

That second headline identifies a specific need, a specific audience, and a specific solution. Users immediately know whether the message applies to them, and Google’s systems receive stronger engagement signals from people actively experiencing that problem.

The same principle applies across insurance, legal services, financial services, and education.

When my Performance Max creative clearly identifies the audience and their need state, I help Google’s machine learning systems learn faster and optimize toward more qualified outcomes.

TikTok: The first three seconds matter more than ever

TikTok has always relied heavily on content signals to determine who sees a video.

As the platform continues investing in automation and audience expansion, creative becomes even more critical.

I pay close attention to the opening seconds of a video because they often determine not only whether a user keeps watching, but also how TikTok categorizes and distributes the content.

For lead generation campaigns, I want qualification to begin immediately.

A graduate program might open with, “Already have a bachelor’s degree and looking for your next career move?”

An insurance provider might start with, “Shopping for Medicare coverage this year?”

A law firm specializing in workplace injury cases could lead with, “Were you injured on the job within the last 12 months?”

These openings accomplish two things at once.

First, they quickly tell viewers whether the content is relevant to them. Second, they give TikTok’s algorithm stronger behavioral signals about who engages with the video.

Qualified prospects are more likely to continue watching and take action. Unqualified viewers are more likely to scroll past. Over time, that self-selection process improves audience learning.

Creative is now a performance lever

One of the biggest mistakes I can make today is treating creative as something that happens after strategy and targeting are finalized.

In increasingly automated advertising environments, creative is strategy.

The message, visuals, hooks, and calls to action no longer serve only a branding or conversion role. They help platforms determine who should see the ad in the first place.

That means I need creative and media teams working together more closely than ever.

When I build campaigns, I ask whether the creative clearly identifies who the offer is for, whether it communicates relevant qualifications or prerequisites, whether an unqualified prospect would immediately recognize that the message is not intended for them, and whether I am helping both users and algorithms understand the ideal audience.

If the answer is no, the campaign may be relying too heavily on targeting to solve a problem that creative is now better positioned to address.

The future of qualification is creative

As Google, Meta, and TikTok continue expanding AI-driven targeting, I expect advertisers to have even less control over audience selection than they do today.

Qualification does not disappear. It shifts into the creative itself.

What once happened primarily through audience settings is increasingly happening through messaging, visuals, and creative strategy.

To thrive in this environment, I need to write headlines that identify the intended audience, create videos that establish audience fit in the first few seconds, and build qualifications, prerequisites, and intent signals directly into the message.

Every ad speaks to two audiences at once: the user and the algorithm.

Platforms are handling more targeting than ever, but they still need direction.

Increasingly, that direction comes from creative. In a world of broad targeting, creative is not just the message. It is the qualifier.

Inspired by this post on Search Engine Land.

July 3, 2026
How I Find Who Is Using My Brand in Paid Search Ads

I know competitive brand bidding is now a common PPC tactic, but that does not mean I treat it as harmless background noise. When competitors, affiliates, coupon sites, or misleading advertisers show up on branded searches, they can inflate CPCs, divert high-intent traffic, and confuse people who were already looking for my brand.

I have seen how much difference visibility can make. Industry examples show that brands often uncover meaningful CPC inflation once they start tracking competitor bidding, affiliate activity, and trademark misuse. In documented cases, brands reduced branded CPCs by 25% to 75% after identifying infringing advertisers and enforcing their policies.

In this guide, I walk through how I monitor branded keywords, identify who is advertising on them, and decide what actions may be available based on the evidence I find.

Choosing Keywords So I Do Not Miss Hidden Activity

When I want to find out who is using my brand in search ads, I start by deciding which keywords I need to monitor.

The biggest mistake I try to avoid is watching only my exact brand name. That is a useful starting point, but it rarely shows the full picture. Some advertisers deliberately target brand-related coupon, discount, review, or alternative queries because those searches often come from high-intent users and attract less scrutiny.

For example, someone searching for “Brand coupon” or “Brand discount code” may be much closer to buying than someone searching for the brand alone. Those queries often attract coupon affiliates, loyalty sites, and unauthorized advertisers trying to intercept branded traffic.

I also pay attention to searches that include terms like “reviews” or “alternatives,” because those queries can bring in competitors and comparison sites that position themselves directly against my brand.

Misspellings matter too. Some advertisers target spelling variations because they are less likely to be monitored and may face less competition.

For a solid monitoring setup, I include my core brand name, “official page” and “login” variations, coupon and promo-code searches, review and alternative searches, commercial terms such as “buy,” “order,” and “sign up,” common misspellings, and localized versions of my brand name.

If I am using Bluepear, its built-in AI assistant can generate keyword suggestions from this kind of list and help me expand coverage faster.

The number of terms I monitor depends on the size of the brand portfolio, including trademarks, local branches, and product names. For many small to medium-sized brands, I would start with about 20 keywords and then expand as new risks, markets, and opportunities appear.

Choosing Locations and Monitoring Frequency

I do not rely on a single search from my office, on my device, at one moment in time. Search results are too dynamic for that. Two people searching the same branded keyword can see completely different ads and organic listings depending on their location, device, timing, and other variables.

I also assume that some advertisers may be trying to hide their activity. A fraudster or an affiliate violating my PPC policy might run ads outside normal business hours to reduce the chance of being caught. If I only check manually during the workday, I may never see those ads.

When I monitor branded search results, I look across the countries and markets where my brand operates, regional differences within those markets, mobile and desktop results, different times of day, and weekday versus weekend activity.

Frequency matters just as much as coverage. Some violations appear briefly and then disappear. Running checks multiple times throughout the day gives me a better chance of capturing activity that would otherwise go unnoticed.

Tracking all of these variables manually can become tedious, especially when a brand operates across multiple markets. Bluepear accounts for locations, devices, time zones, and redirects that can obscure the true destination of traffic. I can set the parameters once and gain continuous visibility without turning monitoring into a weekly time sink.

Reviewing Search Results and Recording Evidence

I do not assume every advertiser bidding on my branded keywords is breaking a rule. Competitors may be allowed to bid on branded keywords if they do not use my trademark in their ad copy. Affiliates may also be authorized to promote my brand under specific program conditions.

Still, I need to know when an advertiser’s behavior crosses the line from legitimate brand bidding into trademark misuse, policy violations, or customer deception.

The first signal I investigate is trademark use in ad copy. If the ad mentions my brand name in the headline or description, and my trademark rules or affiliate policies restrict that use, I treat it as a possible compliance issue.

I also look for misleading claims. Phrases that imply the advertiser is “official,” references to exclusive offers, or language that suggests authorization when none exists can confuse users and deserve review.

Coupon and discount promotions need special attention. I verify whether the advertised discount, promo code, or offer is legitimate, because some affiliates use expired, misleading, or fabricated offers to win clicks.

I also watch for impersonation signals. Some ads and landing pages are designed to resemble a brand’s official website. Even if the advertiser does not directly claim to be my company, that kind of presentation can still confuse users and divert branded traffic.

Because advertisers can change ad copy, pause campaigns, or remove landing pages at any time, I collect evidence quickly. I record the ad copy, SERP position, triggering keyword, location, URLs, redirects, landing page content, and timestamps.

Bluepear can handle this automatically by compiling a report with the relevant details, which makes follow-up easier when I need to contact an affiliate, review a competitor’s behavior, or escalate a trademark issue.

Identifying Who Is Behind the Activity

Sometimes I cannot immediately tell whether an advertiser is a competitor, an affiliate, a coupon site, or something riskier. Branded search results often include multiple participants with different motivations, so I need to understand who I am dealing with before I decide what to do next.

I look for patterns. A direct competitor domain usually points to competitor bidding. A coupon or cashback page may indicate an affiliate, coupon site, or loyalty site. Affiliate network tracking links often suggest affiliate activity, although they can also appear in more questionable setups. Product comparison pages often point to competitors or comparison publishers.

Other signals raise the risk level. If an ad uses my trademark, claims to be “official,” sends users through multiple redirects, promotes coupon codes I cannot verify, or lands on a page that imitates my brand’s design or messaging, I investigate more carefully.

No single signal gives me a definitive answer. I combine multiple pieces of evidence before drawing conclusions. Once I know who is advertising on my brand terms, I can move beyond detection and decide whether their activity aligns with my policies and business goals.

What I Do Next

After I identify who is advertising on my brand terms and review their ads, the next step is choosing the right response.

Competitor Brand Bidding

Not every competitor bidding on my branded keywords requires immediate intervention. Before acting, I ask how often the competitor appears, which keywords they are targeting, whether they are using trademarked terms in ad copy, and whether they are sending users to comparison content or direct offers.

In many cases, I monitor the activity and evaluate its business impact over time. Documenting patterns helps me establish a baseline, which can support future compliance reviews or legal conversations if escalation becomes necessary.

Affiliate Violations

If an affiliate is bidding on restricted branded keywords or violating program rules, I gather evidence and contact the affiliate or network. My workflow is straightforward: document the violation, verify the affiliate ID, share the evidence, request removal or corrective action, and apply program enforcement measures if needed.

Screenshots, timestamps, and redirect data make those conversations much easier because I can show exactly what happened, where it happened, and when it was detected.

Trademark Misuse

Trademark-related issues require careful review. I look for unauthorized trademark use in ad copy, ads that create confusion about brand affiliation, impersonation attempts, and misleading claims that the advertiser is an official brand representative, partner, or reseller.

The right response depends on the circumstances, internal policies, and applicable laws. In many jurisdictions, competitors are generally allowed to bid on trademarked keywords. However, ads that confuse users about the advertiser’s relationship with my brand may raise trademark or unfair competition concerns, depending on the facts and local law.

The advertising platform’s policies matter too. Google allows advertisers to bid on trademarked keywords, but it may restrict trademark use in ad text when a valid trademark complaint is submitted. Google also prohibits ads that use trademarks in a confusing, deceptive, or misleading way.

Before I take action, I collect as much evidence as possible, including screenshots, detection timestamps, URLs, redirects, and landing page content. Once the facts are documented, I may contact the advertiser directly, submit a trademark complaint to the advertising platform, send a cease and desist letter, or escalate through legal channels if necessary.

Why I Keep Monitoring Brand Search

The main lesson is that branded search protection is not a one-time audit. Affiliates can activate and pause campaigns throughout the month. Some violations appear only on weekends, outside business hours, or in specific markets. An advertiser that disappears today may return next week with new ad copy, a new domain, or a different affiliate account.

That is why I treat brand protection as an ongoing process. Occasional searches are not enough. I need consistent monitoring and a repeatable investigation workflow that shows who is appearing on my brand terms, how they operate, and whether action is warranted.

If I want easier visibility into my branded search landscape, Bluepear helps identify issues earlier, respond faster, and make more informed decisions about protecting traffic and advertising investments.

Inspired by this post on Search Engine Land.

July 3, 2026
Google’s Verification Push: New Rules for EU Financial Ads

I’m excited to share that Google is expanding its financial services ad verification across 24 European countries. As of this summer, financial advertisers in these markets will face new compliance checks to continue running ads in the European Economic Area (EEA).

Here’s the scoop: Starting July 23rd, Google’s new requirements for financial services advertisers apply to 24 EEA countries, including Austria, Belgium, and Sweden, among others.

As advertisers in designated financial categories, we must undergo verification when prompted by Google. This initiative targets financial fraud and aims to ensure ads are from genuine and regulated providers.

Why it matters: If I don’t complete this verification process, my ads may no longer run in these markets. This policy impacts not just banks and insurers but also the agencies that manage their campaigns.

The big picture: This is part of Google’s efforts to improve transparency and protect consumers. If notified, I’ll receive alerts on the Google platform indicating that ad performance could be impacted unless verification is completed.

Failing to comply means I might lose the ability to serve financial services ads in these countries. It’s crucial for continued campaign success.

How does verification work? I need to complete two steps: First, I’ll verify through G2, a third-party compliance partner. Next, I’ll submit Google’s financial verification application using a code from G2.

During this process, I’ll provide details about the services offered, regulatory status, and necessary evidence of authorization or exemption from a relevant financial regulator.

Agencies, beware: These requirements also apply to agencies like mine managing campaigns for financial services clients. We’ll need to pass compliance checks before continuing operations.

A key point to note: Third-party advertisers don’t have the same freedom. If I promote services approved by a verified institution but lack direct authorization, I must rely on them to submit verification requests on my behalf.

Depending on the financial services being promoted, such as banking or credit products, I might need to undergo this verification. Google can update its list at any time, so staying informed is crucial.

Stay vigilant: As a financial brand targeting European customers, I must ensure compliance now to avoid disruptions later. This could affect agencies handling multiple clients due to administrative demands.

Dig deeper: For more details on the new requirements, I can visit Google’s support page.

Inspired by this post on Search Engine Land.

June 23, 2026
Unlocking Reddit’s AI-Driven Ads: A New Era in Digital Marketing

I’ve always been fascinated by how social platforms can transform advertising, and Reddit has just taken a giant leap in that direction. They’ve unveiled cutting-edge AI-powered tools, crafted from the heartbeat of community discussions, to revolutionize how advertisers engage with audiences.

Reddit’s introduction of these tools is a bold move, leveraging insights from an astounding database of over 25 billion posts and comments. These tools aren’t just about targeting; they’re about understanding the pulse of their community to craft campaigns that truly resonate.

What excites me is how Reddit is helping brands create campaigns that not only capture attention but also quicken consumer purchase decisions. This is achieved by tapping into the genuine stories and sentiments shared on Reddit every day.

For those of us focused on authentic engagement, these new tools turn community conversations into compelling ad narratives and dynamic shopping experiences. Imagine your brand messaging reflecting real user sentiment, appealing directly to a high-intent audience.

The creative tools they’ve released are nothing short of groundbreaking. The free-form ad generator in beta brilliantly combines your website data with Reddit’s rich conversations, crafting ads that feel perfectly at home on the platform.

Moreover, the tailored creative assets—also in beta—use AI to identify specific communities, generating headlines and visuals that strike a chord with every view. It’s personalized advertising on a whole new level.

Now generally available, the Redditor Highlights feature lets brands include authentic Reddit discussions directly in their ads. Seeing community sentiment front-and-center adds a layer of trust and credibility that users crave.

In the arena of shopping ads, Reddit is testing a new ad format that showcases products in carousel style—matching them to ongoing user discussions and creating a seamless shopping experience.

On the technical side, Reddit is pushing boundaries with enhanced ad performance through innovative machine learning applications, highlighted by a 130% boost in view-through rates and a 71% increase in video completion rates during early tests.

For me, the power of merging machine learning with Community Intelligence seems to unlock endless possibilities for strategic ad targeting and execution.

The bottom line is clear: Reddit doesn’t just want to be a part of the consumer journey—they want to redefine it. By turning everyday conversations into valuable advertising content, they’re empowering brands like never before.

Inspired by this post on Search Engine Land.

June 22, 2026
Enhance Your B2B Ads: Microsoft Adds LinkedIn Job Seniority Targeting
I recently discovered some exciting news from Microsoft Ads that could be a game-changer for advertisers like myself. They’ve expanded their LinkedIn targeting capabilities to include job seniority filters. This allows me to target audiences with more precision in both Search and Audience campaigns.

This new feature means that I can now target users based on their job seniority, a wonderful addition for those of us focusing on B2B marketing. Thanks to LinkedIn data, I can reach audiences at various levels of seniority.

What’s the scoop? According to Navah Hopkins, Microsoft Advertising has added job seniority targeting to its LinkedIn Profile targeting, allowing me to utilize it within Search and Audience campaigns.

This update provides me the ability to choose from 10 different seniority levels, ranging from CXO to Volunteer. This flexibility is available at both the campaign and ad group levels, making it easier to segment my audiences effectively.

Why is this vital for us? In the world of B2B marketing, it’s often challenging to separate decision-makers from operational staff in search campaigns. With this new job seniority targeting, I can better align my messaging and bidding strategies with the right audience segments, ultimately improving my campaign performance.

Understanding who is interacting with my ads is crucial, especially in organizations with long sales cycles or multiple stakeholders. It’s not just about conversions; it’s about knowing who is behind them.

A closer look: Unlike other platforms, Microsoft’s integration with LinkedIn provides a unique perspective of professional identity that allows me to better understand user interactions.

Not only can I apply these filters directly within my campaign settings, but I can also utilize them in observation mode to gather insights without limiting my reach.

How do I benefit?

Customize messaging by seniority: I can create targeted ad groups for different audience levels, like executives or individual contributors, tailoring my messaging to each group’s expectations.

An executive-focused strategy might highlight business growth, while campaigns targeting practitioners could focus on efficiency gains.

Analyze conversions by seniority: Observation mode helps me assess conversion performance across different seniority levels, answering questions crucial to my strategy:

Where are my conversions coming from? Are they decision-makers or influencers? Is my budget effectively spent? Which seniority levels bring in high-quality leads?

Enhance audience testing: This feature offers an extra layer of reporting, helping me make informed optimization and expansion decisions. If I’m importing from other platforms, this insight is invaluable for discovering performance patterns unique to Microsoft Ads.

Availability: This powerful tool is now accessible in select markets across the Americas, EMEA, and APAC regions, including countries like the United States, Canada, Brazil, and more.
- Americas: Argentina, Brazil, Canada, Chile, Colombia, and others.
- EMEA: Egypt, Nigeria, Saudi Arabia, and South Africa.
- APAC: Australia, India, Japan, among others.
The takeaway: Microsoft Ads continues to leverage its LinkedIn integration as a standout feature in B2B advertising. By aligning search intent with professional profiles, I gain deeper insights into not just what my audiences search for, but who the searchers are.

Inspired by this post on Search Engine Land.
June 16, 2026
How a Budget Blunder Reinforced the Basics of Success

While working with a major B2B SaaS account, I learned a valuable lesson about fundamentals through a €30,000 underspend. I initially tightened a target CPA to boost efficiency but neglected to monitor the consequences closely. This oversight resulted in the account falling short of its monthly budget target.

Underspending isn’t merely a media issue—it can affect future budget allocations. The unspent funds had to be returned to finance, making it challenging for the marketing team to justify similar investment levels in upcoming cycles.

The toughest part wasn’t the monetary mistake, but owning up to it. I had to personally explain the situation to the client, taking full responsibility without making excuses.

Even though the client was understanding, trust was undoubtedly shaken. To rebuild confidence, I introduced weekly budget pacing updates to demonstrate transparency and assure them that such an issue would not recur.

Throughout this experience, I realized the enduring importance of fundamentals like budget pacing, account monitoring, and conversion tracking. These basics are crucial, regardless of how advanced our advertising platforms become.

Reflecting on what I would do differently, I underestimated how impactful a target CPA change could be. Now, I consider any spend-related adjustment as a significant account change necessitating careful observation.

While I support using AI-powered tools, I’ve learned to be cautious about adopting every new feature indiscriminately. Balancing experimentation with human insight and strategic oversight is essential to me.

One of the industry’s recurring blind spots is conversion tracking, often flawed due to poor implementation. Accurate data is essential, as it drives optimization decisions and performance.

Building strong client relationships is also pivotal. When mistakes happen, open communication and honesty can be just as critical as producing solid performance results.

Ultimately, mistakes in PPC are unavoidable, but how we handle them defines our success. This experience reminded me that mastering the basics and maintaining trust lay the groundwork for enduring success.

Inspired by this post on Search Engine Land.

June 15, 2026
Transforming Alexa: Your New Shopping Ally and Ad Hub

I recently discovered how Amazon is revolutionizing shopping with Alexa by turning it into a powerful tool for both purchasing and advertising. It’s fascinating to see how they are threading advertising into AI-driven shopping chats, opening fresh channels for brands to connect with customers.

Amazon is demonstrating that conversational and agentic shopping aren’t just futuristic ideas. They’re already changing the landscape of how we discover, compare, and purchase products today. It’s a compelling shift that makes shopping more interactive.

As AI assistants evolve into shopping hubs, advertisers can seize the moment when I express buying intent, rather than depending solely on traditional search methods or passive sites. This is a game-changer for both consumers and brands.

What’s happening: Amazon has cleverly merged its AI shopping assistant, Rufus, with Alexa+ to create an enhanced shopping experience named Alexa for Shopping. This service aids us in researching products, comparing options, tracking prices, building carts, and even automating purchases.

Advertising is a key component of this new experience. Integrated directly into our shopping dialogues are sponsored products, brands, and conversational ad formats, making it easier for brands to capture our attention.

What advertisers get: If you’re an advertiser, good news — your existing sponsored ad campaigns are automatically enabled to appear in Alexa for Shopping. The conversational ad formats also give brands a unique way to engage us throughout our buying journey. Tools like closed-loop measurement, first-party data signals, and AI-driven campaign optimizers make ad management more efficient.

Why we care: The integration of advertising into Alexa for Shopping provides advertisers with access to rich conversations filled with intent, from the moment of product discovery all the way to purchase. This means a potentially shorter path to conversion and enhanced metrics tracking.

The update also shows us how commerce and advertising are blending within AI assistants. This blend could potentially make our journey from product discovery to purchase smoother, while also offering advertisers comprehensive measurement abilities from the initial impression to the final purchase.

By the numbers: In 2025, more than 300 million customers used Rufus, according to Amazon. They also reported that nearly 20% of us engage in ongoing conversations about brands when prompted by Sponsored Brands, and those prompts lead to a 6% increase in conversions.

Between the lines: Amazon’s offering to advertisers is that conversational AI generates richer intent signals than traditional methods. Instead of decoding our needs from clicks or searches, Alexa can respond directly to our expressed requests, preferences, and purchase goals in our natural language.

The bottom line: As shopping turns more conversational, Amazon is integrating advertising within the same platforms we use for product research, option comparison, and purchase finalization.

Inspired by this post on Search Engine Land.

June 11, 2026
OpenAI Gears Up to Revolutionize ChatGPT Ads with New Features
As part of OpenAI’s exciting expansion, I’ve learned they’re extending ChatGPT ads into five fresh markets, including the UK. Excitingly, new campaign management features are on the horizon!

I can see OpenAI ramping up its ad strategies within ChatGPT through an early test that presents the possibility for multiple advertisers to showcase their ads in a single space.

What’s happening. From what I’ve gathered, OpenAI is trialing a new multi-advertiser format over a limited number of ChatGPT ads, which was confirmed in a recent update to their advertisers.

This new approach consolidates several relevant ads into one space instead of just one sponsored result. I understand these ads will be sold using a second-price auction model, commonly employed in digital advertising.

I’m excited to share that OpenAI aims to enhance user product discovery and provide ample avenues for advertisers to connect with users during high-intent interactions.

Meanwhile, in Ads Manager Beta. There’s more good news, as OpenAI rolled out some updates to campaign management features, and here’s what caught my attention:
- It’s now possible to shift existing campaigns from lifetime budgets to daily budgets, which makes budgeting more flexible.
- CPM campaigns can seamlessly transition to CPC bidding with just a click.
- I’ve noticed that impression-based campaigns now support customized CPM max bids.
- Bulk editing right in the Ads Manager interface—how convenient is that?
- Daily budgets will start working under an average daily budget system, touting weekly pacing flexibility.
- There’s fantastic geographic targeting expansion, beyond the U.S., Canada, Australia, and New Zealand, now including the U.K., Japan, South Korea, Brazil, and Mexico.
Why we care. The updates are instrumental in aligning OpenAI’s ad structure with what we as marketers expect from established ad systems, easing campaign management while widening international targeting.

What to watch. This multi-advertiser test might just be the indicator of how OpenAI plans to monetize ChatGPT. If it’s successful, the strategy could be key to expanding advertisers’ reach during users’ purchasing and research phases.

The bottom line. I see OpenAI carefully crafting its advertising framework, with the introduction of multiple advertisers in a single placement potentially redefining sponsored content’s role within AI-driven conversations.

Inspired by this post on Search Engine Land.
June 8, 2026
Unleash the Power of TV Ads: Drive Search Demand Effectively

I recently came across a fascinating insight on how TV ads don’t just create awareness, they actually spark searches. It made me realize just how crucial it is to be ready to capture this surge in interest effectively.

Every time a high-impact TV campaign airs, viewers like us are likely to head straight to search engines like Google and YouTube to learn more about the products or brands featured. The real challenge is not in generating that interest but in being prepared to capture it when it happens.

A great example of this is Fox Sports’ recent World Cup campaign. It highlights why SEO and PPC planning need to start way before an ad goes live to ensure we’re ready to meet the demand.

A World Cup Ad That Created More Than Just Awareness

DAIVID’s study ranked the most emotionally engaging World Cup ads, with Fox Sports’ “Miracle” leading the pack. This ad didn’t just create awareness; it generated a significant emotional response, prompting viewers to search for more information.

When “Miracle” aired, it wasn’t just an advertising victory; it was a roadmap of demand generation. Fox’s search teams needed to be ready to handle the influx of interest surrounding their branded terms well before the World Cup even began.

Throughout the ad, viewers are taken through an inspiring journey of Team USA winning the World Cup, and this prompted us to engage with various search queries like “U.S. World Cup 2026” and “Christian Pulisic.” It was amazing to see how emotional storytelling in advertising can drive such significant search activity.

Why This Matters for Search Marketing

Imagine the Fox ad airing; immediately, millions of us are reaching for our phones, searching for details on the U.S. World Cup team or the ad itself. The key takeaway here is the need for search campaigns to be live, optimized, and ready to meet this demand instantly.

One study highlighted that 75% of search activity related to a TV ad happens in the first two minutes. If our search strategy isn’t aligned and prepared beforehand, we risk losing significant opportunities to competitors.

Prepare for Four Types of Queries TV Ads Generate

The “Miracle” ad teaches us about the various search queries it generates, categorized into branded, campaign, asset, and category queries. Each type needs its own strategic approach, and preparing for them is crucial to capturing the interest they’re meant to drive.

Branded Queries

After an ad airs, simple branded searches like “Fox Sports” are the most common. It’s essential to ensure we’re capturing all potential impressions by boosting budgets accordingly.

Campaign Queries

Campaign-specific searches arise directly from the ad content, like “Miracle ad.” Building landing pages and keyword strategies around these queries before airing can capture significant interest.

Asset Queries

Queries related to elements like songs or celebrities in the ad, such as “song in Fox World Cup ad,” are common. Preemptively planning for these queries ensures we don’t miss out on highly engaged and curious viewers.

Category Queries

Viewers might search for solutions related to the ad’s theme, like “how to watch World Cup 2026.” Addressing these queries is vital to prevent losing traffic to competitors.

Strengthen Your Search Strategy and Creative Collaboration

As search marketers, we should be present during the creation process to identify searchable elements, align landing pages with ad content, and prepare teams for potential viewer questions.

A well-planned search strategy can significantly enhance a viewer’s journey from curiosity to conversion, ensuring that our hard-earned advertising dollars are not wasted.

Inspired by this post on Search Engine Land.

June 5, 2026
Discover Google Ads API v24.1: Enhance Reporting & Security

I’ve recently delved into Google’s exciting release of Ads API version 24.1, and it’s packed with valuable updates for advertisers. This version brings us advanced reporting capabilities, expanded AI campaign testing, and improved security measures.

In this update, Google has prepared us for their upcoming data retention policy changes, which will commence next year—something I believe every developer should be ready for.

Why we care. The latest release highlights three crucial areas: performance visibility, creative control, and testing automation, which are becoming vital for advertisers like me.

What’s more, brands now have greater control over creative displays in Demand Gen campaigns, overcoming the typical limits imposed by automation. It’s a significant update that I’m excited to explore further.

Those of us who lean heavily on reporting infrastructures should also be mindful of Google’s impending 37-month data retention limit, set to impact historical performance analysis come 2026.

Mobile reporting gets more granular. One of the features I’m most thrilled about is the new mobile device platform segment that allows for reporting by operating system.

With the new segments.mobile_device_platform field, I’m able to differentiate performance across iOS and Android, a game-changer for app marketers and ecommerce advertisers alike.

Demand Gen adds classic image support. I love how Google is providing us with more creative control in Demand Gen campaigns, specifically through the classic_display_images field.

This new field allows us to upload and display static image ads exactly as designed, which is perfect for maintaining branding consistency without AI alterations.

Passkeys come to Google Ads. Security is always a top concern of mine, so I’m pleased to see the inclusion of the passkey_enabled field to boost account security through passwordless authentication.

Experiment support expands. I’ve noticed that Google has significantly enhanced the support for Experiments, allowing us to run and analyze tests across AI Max, Video, Demand Gen, and Performance Max campaigns.

This update also enables us to view metrics such as clicks and conversions more transparently, making experiment analysis straightforward and insightful.

A major data retention change is coming. From June 1st, Google Ads and related APIs will enforce a 37-month data retention limit, something I must prepare for to avoid disruptions in performance analytics.

The release includes a new error code: DateRangeError.REQUESTED_DATE_GRANULARITY_NOT_SUPPORTED, and it’s essential that I update reporting workflows accordingly.

What’s next. I’ve already checked out the updated client libraries and code samples for v24.1, and I plan to participate in Google’s live walkthrough on Discord, YouTube Live, and LinkedIn Live for additional insights.

Inspired by this post on Search Engine Land.

May 14, 2026