Tag: Conversion Optimization

  • Why Accessibility Is an $18 Trillion Marketing Advantage

    Why Accessibility Is an $18 Trillion Marketing Advantage

    Illustration of an online storefront against a green background, featuring a digital shop window, clothing items, a sold sign, and icons representing growth, accessibility, and customers.

    Every so often, I see a product launch turn into a marketing lesson bigger than the product itself. Selena Gomez’s Rare Beauty did that with a new fragrance, but it was not only the scent that drew attention. The bottle became the story. Its accessible, easy-to-use packaging sparked conversation, earned praise from accessibility advocates, and reminded me how powerful inclusive design can be when it is built into the product from the start.

    For me, the lesson is clear: accessibility is not a side note. It can become the campaign. One thoughtful design choice created cultural impact that would be hard to buy with media spend alone. It also showed why accessibility can build loyalty, strengthen brand reputation, support compliance, and drive measurable growth.

    Accessibility as a campaign strategy

    I do not see Rare Beauty’s accessibility work as a one-off moment. From packaging to pricing to its ongoing mental health advocacy, the brand has consistently made inclusivity part of its identity. That matters because consumers can usually tell when a brand is chasing attention versus when it is acting from a real strategy. They reward brands that lead with values and follow through.

    Rare Beauty is not alone. I see leading brands across industries using accessibility as a differentiator, not a footnote. Apple often frames accessibility features as part of product innovation. Microsoft has brought inclusive design into mainstream campaigns, including adaptive gaming products that positioned accessibility as a source of creativity and connection. In fashion and retail, brands like Tommy Hilfiger and Unilever have put adaptive design into product launches and brand identity instead of treating it as a niche offering.

    Studies from Edelman and McKinsey show why this shift matters. According to those studies, 73% of Gen Z choose to buy from brands they believe in, and 70% say they try to purchase products from companies they consider ethical. I do not see those as fringe preferences. I see them as mainstream expectations that should change how marketers build trust and growth.

    The $18 trillion market marketers overlook

    More than 1.3 billion people globally live with a disability. Together with their friends and family, they control more than $18 trillion in spending power, according to the Return on Disability Group. I believe marketers should view this as more than a compliance issue. It is a growth opportunity, a reputation opportunity, and a trust-building opportunity with one of the world’s largest and most passionate consumer groups.

    That passion often turns into advocacy. In discussions with AudioEye’s A11iance Team, a group of individuals with disabilities who regularly share feedback on real-world accessibility experiences, one member said, “If I find a website that works and works very well for me, I will always recommend it to friends and family because I want people to have the same experience that I have.”

    Another A11iance Team member, Maxwell Ivey, put it this way: “The cheapest form of advertising is word of mouth, and people with disabilities can have some of the loudest voices when we find people willing to make the effort. Because it’s that sincere effort over time that really counts with us.”

    When accessibility becomes part of the customer experience, I see it create something media budgets cannot easily buy: trust and loyalty that scale through advocacy. But the reverse is also true. In a survey of assistive technology users, 54% said they do not feel eCommerce companies care about earning their business.

    That should get every marketer’s attention. Too many brands are still fighting for the same crowded audience segments while overlooking a major opportunity in plain sight. When they do, they leave loyalty, advocacy, and revenue on the table.

    Here is where I see many brands stumble: accessibility often stops at the shelf. Marketers invest heavily in packaging, store displays, and product design, while digital experiences lag behind. Yet those digital experiences are often the first and most important touchpoints customers have with a brand.

    As accessibility-led design earns more attention, loyalty, and earned media, the gap between physical product innovation and digital experience becomes harder to ignore.

    AudioEye’s 2025 Digital Accessibility Index found an average of 297 accessibility issues per web page detectable by automation alone. Each issue can create friction in the customer journey, cost a conversion, or introduce compliance risk under frameworks such as the Americans with Disabilities Act (ADA) and the European Accessibility Act (EAA).

    I would not launch a campaign without a brand review or a legal check. In the same way, I do not think any digital touchpoint should go live without an accessibility review.

    Four moves marketing leaders can make

    Too often, I see accessibility treated as a risk to manage instead of an advantage to use. The marketers who gain ground will be the ones who change that mindset. I would start with four practical moves.

    1. Make accessibility your campaign hook

    I would not hide accessibility in the fine print. I would lead with it. Brands like Rare Beauty have shown that inclusive design is the story. Build campaigns where accessibility is not an afterthought, but the differentiator that earns attention and loyalty.

    2. Bake it into your brand system

    Accessibility should not sit off to the side. I would make Web Content Accessibility Guidelines (WCAG) alignment part of the brand system, right alongside typography, logos, and tone of voice. When accessibility is documented and expected, it becomes easier to apply across every campaign.

    3. Use data as your proof point

    Marketers are storytellers, but numbers strengthen the story. I would track accessibility improvements such as fewer user-reported barriers, higher accessibility scores, stronger alt text, better color contrast, and more usable forms. Then I would connect those metrics to business outcomes like conversion, reach, and sentiment to show how accessibility drives ROI, not just compliance.

    4. Protect accessibility like brand safety

    I would treat accessibility with the same seriousness as brand safety. Every update, seasonal campaign, and product drop should be monitored for accessibility. Trust and reputation are too valuable to leave exposed.

    The competitive advantage

    Rare Beauty’s fragrance launch proved something important to me: when a brand leads with accessibility, the story can write itself. Loyalty builds more authentically, and momentum feels more natural because the value is real.

    The larger opportunity is that many brands still do not see it. They continue to treat accessibility as a compliance checkbox when it can be a growth strategy.

    For marketers, that is the wake-up call. Accessibility builds loyalty. It strengthens brand reputation. It supports compliance. And it can drive measurable growth across marketing efforts.

    Rare Beauty showed how accessibility can capture attention at the shelf. Now I see the next opportunity clearly: making sure that same accessibility carries through online. When every touchpoint welcomes everyone, every campaign has a better chance to deliver its full impact.


    Inspired by this post on Search Engine Land.


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  • Boost Campaigns with Google’s Automatic Conversion-Based Lists

    Boost Campaigns with Google’s Automatic Conversion-Based Lists

    I recently discovered that Google Ads is elevating the game for advertisers by automatically enabling conversion-based customer lists for those who qualify. This intriguing update aims to start processing data on August 18th.

    As part of this change, advertisers who are already utilizing both Enhanced Conversions and Customer Match but have not yet switched on conversion-based customer lists will benefit from this automatic feature enhancement.

    Why this matters to us. In a landscape where privacy changes are constantly evolving, advertisers are being gently nudged to lean on first-party data. Conversion-based customer lists offer a fresh approach to build audiences using data collected from existing conversions.

    This feature could be a game-changer, allowing advertisers to create highly relevant audience segments and boost campaign performance—and all of this without any extra implementation work.

    Here’s the scoop. If you’re eligible, relax; you won’t need to do anything to enjoy the benefits. Starting on August 18th, Google will kick-start data processing and automatically make these lists available within your account.

    Advertisers then have the opportunity to decide whether to integrate these audiences into their campaigns and ad groups, molding their targeting strategies accordingly.

    But wait, there’s more! If for some reason this auto-feature doesn’t appeal to you, opting out is simple. Just disable conversion-based customer lists in your account settings before August 18th. Otherwise, Google will go ahead with generating these lists automatically.

    Heads up. This update was initially discovered by Menachem Ani, the Founder of JXT Group. Menachem shared his insights in communications that he posted on X.


    Inspired by this post on Search Engine Land.


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  • Mastering Agentic Search Optimization: Your Guide to ASO Success

    Mastering Agentic Search Optimization: Your Guide to ASO Success

    In this report, I’m excited to share the findings from a research study I conducted with my team on the emerging field of Agentic Search Optimization, or ASO. We’ve developed a strategic framework that businesses and marketing agencies can leverage to stay ahead in this dynamic landscape.

    What is Agentic Search Optimization?

    Agentic Search Optimization, often referred to as Agentic GEO, involves optimizing your online presence so AI agents choose your products or services on behalf of users. Unlike Generative Engine Optimization (GEO), which focuses on gaining human trust after an AI recommendation, ASO targets conversions by persuading AI to recognize your offering as the best choice for users.

    ASO might seem similar to GEO since both aim to drive leads or purchases, but there’s a significant difference: GEO involves human decision-making, while ASO transfers that responsibility to intelligent bots.

    ```json
{
  "alt": "Image showing sections on comparison blogs, metrics pieces, and brand authority statements related to gift cards.",
  "caption": "Explore how gift cards influence buying behaviors, bolster search rankings, and establish brand authority, with insights into buyer spending habits and top recommendations.",
  "description": "The image outlines three strategies for gift card marketing: Comparison Blogs, Metrics Pieces, and Brand Authority Statements. The Comparison Blogs section lists best gift cards for Father's Day 2026, emphasizing flexibility and delivery options. Metrics Pieces show data on how gift cards attract new buyers and increase spending, with graphs indicating willingness to spend more than the card value. Brand Authority Statements emphasize Giftcards.com's reputation with over 45,000 reviews and 450+ brands. These elements are aimed at influencing AI recommendations and enhancing online presence."
}
```

    For instance, in ASO, a user doesn’t ask ChatGPT for the best gift card platforms. Instead, they might say, “Send $50 holiday gift cards to my remote team at their preferred stores”. The AI agent interprets, evaluates options, and makes the purchase autonomously.

    So far, the ASO landscape hasn’t been thoroughly researched to identify universally accepted best practices. Our study attempts to build a framework outlining agentic search stages, determinants of company selection, and actionable tactics to influence search results.

    ```json
{
  "alt": "AI Belief Landscape chart for Rejuve with ratings for efficacy, safety, ingredient quality, customer reviews, price, and overall.",
  "caption": "Dive into the AI Belief Landscape for Rejuve—exploring nuanced ratings across efficacy, safety, ingredient quality, customer reviews, and value. Discover where it shines and where it stands.",
  "description": "This image displays an AI Belief Landscape chart for Rejuve, outlining its performance across multiple dimensions: efficacy (score 5), safety/irritation potential (score 7), ingredient quality (score 6), customer reviews (score 6), price and value (score 5), and overall score (6). Each dimension is accompanied by a sentiment score and a typifying belief explanation, providing a comprehensive evaluation. Keywords: AI Belief Landscape, Rejuve, efficacy, safety, ingredient quality, customer reviews, price, overall score."
}
```

    The Study

    Between March 4, 2026, and June 10, 2026, our research team conducted 2,417 agentic search commands using popular AI agents across the U.S. These commands were task delegations such as purchases, bookings, quote requests, or vendor shortlists, rather than just informational quests. We observed the entire behavior chain of agents, including sub-queries, source retrieval, candidate evaluation, and the final action or inaction.

    Our analysis revealed that ASO follows three key stages: Retrieval, where AI scans the web (primarily Google) for top results and compares them to its beliefs; Evaluation, where the best company, product, or service is chosen to fit user needs; and Action, where the task is completed, often involving a transaction.

    ```json
{
  "alt": "Comparison chart of sentiment scores for Rejuve, The Ordinary, Olay, and SkinCeuticals serums.",
  "caption": "Discover how Rejuve stacks up against popular competitors like The Ordinary, Olay, and SkinCeuticals in this sentiment score analysis.",
  "description": "This image displays a comparison chart titled 'AI Belief Landscape: Rejuve vs Competitors'. It showcases overall sentiment scores for four skincare serums: Rejuve (6), The Ordinary Multi-Peptide + HA Serum (8), Olay Regenerist Serum (7), and SkinCeuticals H.A. Intensifier (7). Detailed scores are provided for categories like efficacy, safety, ingredient quality, customer reviews, and price. The chart includes typifying beliefs and highlights that The Ordinary leads with positive reviews and great value. Keywords: skincare, sentiment analysis, product comparison."
}
```

    Through our research, we’ve identified three crucial insights:

    • Agents Review Complete Results: Across all commands, AI agents opted for the platform’s top-ranked recommendation 44.6% of the time. However, they selected options ranked 4th or lower in 38.2% of cases, demonstrating a choice based on suitability over rank.
    • Agents Possess Predetermined Brand Beliefs: In 81.6% of evaluations, agents relied on pre-existing brand beliefs established during their training or via web searches, indicating that brand perception heavily influences ASO.
    • Agents Forfeit Companies Unable to Transact: If a conversion page was machine-actionable, agents completed 78.3% of attempts. When not, completion fell drastically to 9.6% with many agents substituting transactable competitors without user input.

    This study further explores the ASO process in detail, showcasing tactics that our team tested and validated in early 2026.

    ```json
{
  "alt": "Side-by-side comparison of Rejuve's stem cell serum webpage and a positive review article.",
  "caption": "Rejuve's stem cell facial serum is backed by science and praised in a detailed review for its efficacy and research-supported claims.",
  "description": "The image showcases a side-by-side view of Rejuve's product site and an article from The Ingredient Brief. Rejuve's page highlights the science behind its facial serum, using plant stem cell extracts for collagen production and citing clinical studies. Key stats are noted: 14 studies cited, 91.4% saw firmer skin in 8 weeks, along with collagen expression and trial participant data. The review praises the serum for its scientific solidity over an eight-week testing period."
}
```

    The Three Stages of Agentic Search

    When I delegate tasks to an AI agent, it performs query interpretation, creating an average of 6.3 sub-queries. The process proceeds through three stages: Retrieval, where it constructs a result set; Evaluation, narrowing choices to the best fit; and Action, executing the conversion. During this, agents cross-reference claims with multiple sources; inaccuracies result in immediate rejection of a candidate.

    To benefit from agentic search, companies must achieve two goals: securing the #1 rank on AI platforms, aiding the Retrieval stage, and clearly defining their fit, crucial for Evaluation. Technical prowess ensures seamless Action.

    ```json
{
  "alt": "Flowchart categorizing business features and their importance levels from hard requirements to optional.",
  "caption": "This insightful flowchart highlights business features categorized by importance, from hard requirements to nice optional add-ons, guiding decision-making processes.",
  "description": "The image is a flowchart that segments features based on their priority: hard requirements including aspects like low order volume and digital delivery; important features like custom branding for employee engagement; nice to have options like charity donations, and optional features such as cash-back. The chart also notes geographies like the US, Canada, and the UK. It ends with analysis leading to recommendations, offering a structured approach to feature prioritization."
}
```

    Stage 1: Retrieval

    The Retrieval stage encompasses traditional GEO: agents scan the web and build a pool of companies or products. All previous GEO strategies apply here—Comparison blogs, metric pieces to boost rankings, and brand authority statements that AI platforms might trust help form this candidate set.

    What’s innovative in ASO is understanding the AI’s pre-existing beliefs. This necessitates mapping the AI Belief Landscape, an audit scoring AI model beliefs about a brand, alongside sentences exemplifying these beliefs.

    ```json
{
  "alt": "Screenshot of gift card solution evaluation for remote team holiday gifts from Giftcards.com.",
  "caption": "Evaluating Giftcards.com for holiday gifting needs, featuring a fit verdict of 'Moderately strong' with strong core essentials, but limited geographic and charity options.",
  "description": "This image shows a structured evaluation of Giftcards.com for sending holiday gift cards to a remote team. The user query specifies a $50 budget per person. Key solution features such as custom branding (8/10), employee engagement (7/10), and selectable rewards (9/10) are highlighted as important. Geographies limited to the US, with other regions marked lower (Canada, UK). The fit verdict rates 'Moderately strong,' citing strengths in essential requirements but weaknesses in geographic reach and charity donations, with a weighted score of 6.8/10."
}
```

    This assessment guides marketers in pinpointing areas where their brand falls short in the eyes of AI, a crucial step in adjusting perceptions during ASO.

    Tactic: AI Belief Correction

    AI Belief Correction involves publishing evidence to transition model beliefs from weak to strong. For instance, for a skincare brand like Rejuve, enhancing its perception involved producing detailed scientific explanations onsite and acquiring third-party verification offsite, establishing credibility.

    ```json
{
  "alt": "Flowchart showing a suitability hub leading to six criteria dimensions and corresponding suitability pages.",
  "caption": "Explore the suitability hub diagram to understand how different criteria dimensions like industries and use cases connect to specific suitability pages.",
  "description": "The image presents a flowchart starting with a 'Suitability hub' box leading to six criteria dimensions listed under 'Criteria dimensions': Industries, Use cases, Customer types, Problems, Solutions, and Features. Each dimension is linked to a specific number of 'Suitability pages': 12 for Industries, 20 for Use cases, 6 for Customer types, 10 for Problems, 8 for Solutions, and 4 for Features. This visual representation helps in categorizing various business aspects and their related content pages, improving content accessibility and readability. The design is user-friendly, with clear headings and arrows indicating connections."
}
```

    Stage 2: Evaluation

    Evaluation diverges drastically from traditional SEO. Agents, not humans, select candidates based on user knowledge. Our study showed agents broke user commands into prioritized categories: Hard Requirements, Important, Nice to Have, and Optional, with evaluations leading to a “Fit Verdict.”

    Properly communicating fit information is crucial. Content detailing product suitability increases selection odds.

    ```json
{
  "alt": "Giftcards.com employee rewards overview with benefits, qualifying facts, and company comparison.",
  "caption": "Discover how Giftcards.com simplifies employee rewards with personalized Visa, Mastercard, and 350+ brand gift cards. See how they compare and why they fit your company's needs.",
  "description": "This image provides an overview of Giftcards.com's services for employee rewards. It highlights the flexibility of sending personalized Visa, Mastercard, and over 350 brand gift cards. Key features include branding with your logo, message scheduling, and delivery to multiple offices worldwide. The right section presents qualifying facts such as minimum orders of 25 cards, digital or physical delivery, and U.S. and selected international reach. Proof points include service to over 11,800 companies, 98.2% on-time delivery, and $1.3B+ in gifting delivered. A comparison with other providers shows Giftcards.com excels in offering open-loop and branded cards with volume pricing and global reach. Keywords: Giftcards.com, employee rewards, personalized gift cards, corporate gifting solutions."
}
```

    Tactic: Suitability Pages

    Suitability Pages—criterion-specific pages that declare who a product is suited for and, critically, who it isn’t—are vital. Noting “non-fit” conditions paradoxically increases credibility by adding authenticity, improving agentic evaluation rates.

    Stage 3: Action

    Achieving the third stage requires technical readiness: machine-readable pages and APIs enable seamless agent transactions. The disparity in conversion rates between machine-actionable and non-actionable setups is significant, underscoring the importance of technical preparation.

    ```json
{
  "alt": "Diagram showing AI agent interacting with feed, API, and form on a conversion page to achieve a conversion action.",
  "caption": "This diagram illustrates how an AI agent facilitates user interactions by processing feeds, APIs, and forms to reach a conversion action effectively.",
  "description": "The image is a flowchart detailing the role of an AI agent acting for users on a conversion page. It shows three main components: Feed for e-commerce, which reads price and stock information; API for SaaS, used for signing up or provisioning; and Form for services, which fills fields and submits inquiries. The process guides towards achieving a conversion action, visually linked with arrows showing interactions and pathways."
}
```

    The Future of Agentic Search Optimization

    I anticipate that AI-driven commercial transactions will rise dramatically in the coming years. As that shift occurs, here’s what I foresee:

    • Suitability content will become essential: Just as landing pages are vital for SEO today, clearly defined fit will become mandatory for ASO visibility.
    • Tougher verification layers: Securing third-party endorsements will become even more critical, emphasizing PR’s value in ASO.
    • Selection share will surpass rankings: The focus will shift to actual AI agent selections over mere recommendation visibility.

    Marketers excelling in GEO are already poised for agentic success, but comprehensive strategy across all stages is necessary for ultimate triumph.

    Downloading This Report & Inquiries

    Got questions or need a PDF copy of this report? Feel free to contact us here.

    Discover more about our Agentic Search Optimization services by reaching out here.

    Appendix A: Command Categories in Agentic Search Study

    CategoryCommands
    Ecommerce purchasing612
    B2B software evaluation & signup489
    Travel booking343
    Professional services inquiries291
    Consumer & local services274
    Financial products213
    Healthcare services & products195
    Total2,417

    Appendix B: # of Commands Issued in Agentic Search Study

    AI AgentCommands IssuedNotable Behavior
    ChatGPT (agent mode)884Most likely to verify claims against third-party sources before acting
    Gemini (agentic tasks)519Strong integration with data feeds; likely to abandon when pages aren’t machine-actionable
    Claude (browsing & computer use)397Thorough evaluator; applies the largest number of distinct criteria per command
    Perplexity Comet462Widest retrieval fan-out; often selects options ranked outside top 3
    Other browser agents155Diverse behavior observed; included for completeness

    Source


    Inspired by this post on First Page Sage Blog.


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  • Harnessing Psychology: Create Persuasive Content That Converts

    Harnessing Psychology: Create Persuasive Content That Converts

    How persuasive content taps into human psychology

    I’ve noticed that TikTok Shop creators excel by tapping into the psychology that drives people to act. Let me share how we can leverage these persuasive principles in our writing.

    SEO content is often designed to rank, but conversion can sometimes fall by the wayside when we’re caught up in the technical checklist. In light of AI Overviews and falling click-through rates making visibility more challenging, I believe it’s time to focus on whether our content encourages action once someone engages with it.

    Take a cue from TikTok Shop creators—they don’t just thrive because of large followings. They master persuasion by understanding consumer psychology and scaling actions. This insight can transform how we approach our written content.

    The formula that successful TikTok Shop creators follow isn’t random. It relies on consumer psychology principles, not on celebrity status or follower count. I’ve realized that 99% of my own video views come from non-followers. Therefore, it’s the understanding of the psychology behind actions that matters.

    ```json
{
  "alt": "The CapmatchOne logo with a gradient circle and bold text.",
  "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.",
  "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs."
}
```

    By focusing on visual hooks, psychological triggers, storytelling, and relentless experimentation, we can apply these elements to written content to drive similar results.

    People often buy based on emotions, justifying their decisions rationally later. It’s crucial to connect with their motivations rather than just presenting facts.

    Persuasive content succeeds because it targets human desires like protecting loved ones, enjoying life, feeling safe, and seeking social approval.

    Understanding these motivations allows me to craft content that resonates more deeply with my audience, ultimately leading to better engagement and conversion rates.


    Inspired by this post on Search Engine Land.


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  • Boost Your Funnel: Tackle Signal Decay & Maximize Performance

    Boost Your Funnel: Tackle Signal Decay & Maximize Performance

    Have you ever wondered why those campaigns designed to introduce customers to your brand seem to get the least credit when it comes to driving revenue? Let me walk you through how to reclaim those lost conversion signals.

    In today’s digital world, conversion signals are fading from our marketing data. Personally, I’ve noticed it’s costing businesses money.

    Factors like ad blockers, strict privacy laws, and the decline of cookies are hiding crucial conversion data. According to a Deloitte study, this can cost businesses as much as $203 million annually. That’s a staggering figure!

    For most brands, the journey from discovery to purchase is obscured, and this isn’t just an irritating data issue. If left unaddressed, it can prevent new customers from discovering your brand.

    It surprised me how many marketers don’t realize they’re basing decisions on incomplete data. They see top-of-funnel campaigns underperforming and shift budgets elsewhere, unaware that this could trigger a negative cycle.

    When traffic diminishes further due to algorithmic reactions, ad investments dwindle, and new customer acquisition slows, it results in a downward spiral that’s tough to reverse.

    To avoid this, rather than focusing solely on creative strategies or bigger budgets, I believe prioritizing data hygiene will offer a competitive edge by 2026. Feeding better data to Google’s algorithm can transform those top-of-funnel activities into effective customer acquisition channels.

    Why Signal Loss Hurts Discovery Channels First

    YouTube usually sits at the top of the funnel, where attribution is weakest. Unfortunately, this makes it an easy target for budget cuts because of incomplete performance data, despite its crucial role in product discovery and brand research.

    According to Google research, “YouTube is the No. 1 platform viewers turn to for brand or product research.”

    • “YouTube is the No. 1 platform viewers turn to when they want to research, vet, or make a decision about a brand or product.”

    Yet, the decay of conversion signals detrimentally impacts YouTube’s performance as a marketing channel. It often acts as the initial touchpoint, with users making purchases off-platform, disrupting the signal flow.

    Haus Research found that Google’s advertising tools underreport YouTube’s true impact by 70% or more. With improved measurement setups, advertisers can capture those missing signals, allowing for a more accurate assessment of YouTube and similar platforms.

    Closing the Cross-Device Gap with Enhanced Conversions

    Think about how often you watch TV while holding your phone. You might see a commercial, Google it on your phone, and complete the purchase on desktop days later. This cross-device journey complicates tracking with standard cookie-based tagging methods.

    Enhanced conversions tackle this issue by adding a layer of hashed first-party data, like an email, which Google uses to connect conversions to ad interactions securely.

    Incorporating enhanced conversions into analytics provides insights into purchase paths that begin on YouTube and conclude off-platform, highlighting YouTube’s effectiveness in driving conversions that might otherwise be missed.

    ```json
{
  "alt": "The CapmatchOne logo with a gradient circle and bold text.",
  "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.",
  "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs."
}
```

    Training the Algorithm with Offline Conversions

    Consider viewing a YouTube ad for an expensive item—something you’re not comfortable purchasing online. You close the ad only to call the seller later. Cookie-based tagging often fails to track such valuable conversions back to their origin.

    This tracking gap extends to lead generation campaigns too. Offline conversions connect CRM and call data back to Google, training the algorithm to follow which leads convert rather than just form completions, enabling smart bidding to optimize for actual revenue outcomes.

    Get the newsletter search marketers rely on.


    Defining New Top-of-Funnel Signals with Micro Conversions

    Enhanced conversions and offline tracking can retrieve lost signals, but sometimes, top-of-funnel campaigns like YouTube lack sufficient conversion data for the algorithm. That’s where micro conversions come in, feeding necessary data for ad optimization.

    Micro conversions provide early signals—like video views, adding items to a cart, or time spent on a page—allowing campaigns that lack purchase-level data to still improve performance. Depending on the campaign’s position in the funnel, you might prioritize engagement signals or actions like cart additions.

    Without these intermediate signals, distinguishing effective upper-funnel activities from wasted efforts becomes challenging. Micro conversions empower you to treat top-of-funnel actions like any other campaign, enabling data-driven decisions on what’s working.

    Recovering Lost Signals with Google Tag Gateway

    The final piece in maintaining data hygiene is recovering blocked conversion signals before they reach Google. Browsers like Safari and Firefox restrict third-party tracking, contributing to massive signal decay during online purchases.

    Google introduced Google Tag Gateway (GTG) to help reclaim lost data. GTG uses server-side technology to load tracking tags from your site’s domain instead of Google’s, bypassing some blockers.

    Google reports an 11% signal uplift for GTG users compared to advertisers not using the tech. GTG also benefits advertisers with faster page speeds, enhancing Google’s landing page experience score and reducing click costs.

    Setting up GTG is straightforward, especially if you’re on a content delivery network like Cloudflare, and it can significantly enhance your data infrastructure.

    Your Data Infrastructure is Your Competitive Advantage

    Conversion signal decay affects every brand selling online, but recognizing the real underlying problem is crucial: signal distortion from cross-device behavior, offline conversions, ad blockers, and low top-of-funnel signal volume distorts actual purchase behavior.

    Armed with inaccurate data, many opt to tweak creatives, cut budgets, or inadvertently drop channels like YouTube, which secretly contribute to discovery. This leads to a detrimental downward spiral.

    In 2026, those excelling won’t merely skirt around issues but will implement advanced data hygiene methods to feed lost data back into Google’s algorithm, gaining an edge over competitors.

    To run more successful ads, prioritizing data improvements is key. Everything else tends to fall into place thereafter.


    Inspired by this post on Search Engine Land.


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  • Rising Google Ads Costs in 2025: Boosting Conversion Success

    Rising Google Ads Costs in 2025: Boosting Conversion Success

    In 2025, I’ve noticed that while the costs of Google Ads continue to climb, there’s been a silver lining. Advertisers like myself have been improving conversion efficiency, which means growth is still within reach.

    PPC reporting concept

    I’ve observed that although we’re paying more per click, the data from WordStream by LocaliQ shows we’re getting better at converting those clicks. The benchmark report, analyzing over 16,000 campaigns, highlights an increase in average CPC to $5.42, up from $4.66 last year, with 87% of industries seeing a rise.

    Despite this jump in CPC, the average conversion rate has improved to 8.18%. This indicates we’re becoming more efficient, even as traffic costs rise.

    Why advertisers should care. The benchmarks clearly point out that inexpensive traffic is fading fast. For us advertisers, this means absolute reliance on volume is not sustainable anymore.

    To maintain profitability, I’ve realized that focusing on stronger targeting, creative enhancements, better landing pages, and smarter automation is vital.

    The report suggests advertisers who adapt well to automation and intent-driven targeting are improving conversion efficiency, despite the rising costs.

    By the numbers. Here’s what stands out:

    $5.26 — Average Google Ads CPC in 2025, increased from $4.66 in 2024.

    87% — Percentage of industries experiencing CPC hikes annually.

    ```json
{
  "alt": "2026 Search Advertising Benchmarks with click-through rate, cost per click, conversion rate, and cost per lead averages.",
  "caption": "Explore the 2026 search advertising benchmarks, highlighting click-through rate, cost per click, conversions, and lead costs for better ad strategies.",
  "description": "This image shows the 2026 Search Advertising Benchmarks by WordStream, detailing overall averages for performance metrics. It includes a 6.64% click-through rate, a cost per click of $5.42, an 8.18% conversion rate, and a $66.69 cost per lead. These metrics provide valuable insights for optimizing advertising strategies in the digital marketing landscape."
}
```

    7.52% — Across-the-board average conversion rate in 2025.

    $70.11 — Average cost per lead in Google Ads, 2025.

    Highest CPCs. Industries like Attorneys & Legal Services led with $8.58, while areas like Finance & Insurance, and Home Improvement consistently hovered in the $7+ range.

    Lowest CPCs. The Arts & Entertainment and Travel & Hospitality sectors fell in the $2–$3 range, benefitting from reduced competition.

    Highest conversion rates (strong intent / local services)

    Automotive Repair led with 14.67%, followed by other high-intent services like home services ranging from 12–14%.

    Lowest conversion rates (complex or high-consideration journeys)

    Finance & Insurance was at the bottom with 2.55%, and B2B, legal, and high-ticket items were between 3–5%.

    ```json
{
  "alt": "Bar chart showing average Google Ads cost per lead from 2021 to 2026 with varying percentage changes.",
  "caption": "Explore the journey of Google Ads cost per lead from 2021 to 2026. Notice the fluctuations and trends analyzed by WordStream.",
  "description": "This image is a bar chart illustrating the average Google Ads cost per lead over the years 2021 to 2026. Starting at $41.40 in 2021, costs rise to $70.11 in 2025 before slightly decreasing to $66.69 in 2026. Percentage changes per year indicate shifts in advertising benchmarks. The chart is presented with purple bars, each annotated with the year, specific cost, and percentage change. Created by WordStream for search advertising benchmarks in 2026."
}
```

    The cost-per-lead is stabilizing, thankfully. Although the average CPL rose modestly by 5.13% to $70.11 in 2025, it’s a relief after years of sharper increases. Legal services remain costly, while auto repair is more cost-effective.

    Automation is changing performance benchmarks. I’ve seen how Google Ads has embraced AI-driven optimization. As conversion rates rise, smarter bidding systems and improved intent matching are effectively connecting advertisers with high-quality users.

    While automation like Smart Bidding and Performance Max is shaping campaigns, I know that not every account is thriving. Some have zero conversions, and failure to optimize or poorly set up tracking continues to waste spend.

    Interestingly, accounts using negative keywords experience conversion rates up to three times higher, underscoring how foundational practices are essential even in an AI era.

    Between the lines. The benchmarks present a mixed message. Costs are rising, yet Google’s automation aids efficiency for those optimizing their campaigns effectively.

    The biggest challenge now isn’t finding cheap clicks—it’s enhancing conversion quality and maximizing value from expensive traffic.

    Bottom line. Google Ads is more costly than ever, but by embracing automation, focusing on conversion quality, and improving account efficiency, growth is still possible.


    Inspired by this post on Search Engine Land.


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  • Understanding Query vs. Conversion Intent for Better Results

    Understanding Query vs. Conversion Intent for Better Results

    I’ve noticed that what users type into search engines isn’t always a reflection of what they truly want. This drove me to explore how aligning intent signals, behavior, and branding can significantly enhance performance.

    As someone deeply involved in PPC, I’ve held onto syntax-oriented keyword strategies for a long time. This was because of the gap between ‘query intent’ and ‘conversion intent.’ For years, relying on keywords has been my way to show I understand my customers’ desires and to filter traffic through syntax-based signals.

    ```json
{
  "alt": "Google search results page for 'Microsoft ads login' displaying links to Microsoft Ads and related content.",
  "caption": "Looking to manage your Microsoft Ads? Here's how you can quickly log in and access the resources you need.",
  "description": "Screenshot of a Google search results page for 'Microsoft ads login.' The results include links to Microsoft Ads for starting search ads, displaying ads, and online video ads. Additional links guide users to sign in to Microsoft Advertising, access Microsoft Advertising Help, and explore more content from Microsoft's websites. The interface is shown in dark mode, and the search bar is prominently displayed at the top."
}
```

    With the shift towards more conversational queries and the rise of AI, understanding the difference between these two intents has become crucial to effectively meet user needs.

    ```json
{
  "alt": "Search results page showing Microsoft Ads login and support options.",
  "caption": "Explore Microsoft Ads with a variety of login and support options to maximize your advertising potential.",
  "description": "This image displays a search results page for 'Microsoft Ads login' on Copilot Search. It includes links to sign up, contact support, and access the Microsoft Ad Library. Additionally, there are related suggestions like 'Microsoft Ads password reset' and 'two-factor login'. The page facilitates easy access to Microsoft Advertising resources and login details, helping users optimize their ad campaigns. Keywords: Microsoft Ads login, advertising, support."
}
```

    In this discussion, I’ll define query and conversion intent and share strategies to use them effectively. While these suggestions aren’t prescriptive, they provide a framework for analyzing your data and optimizing for your audience.

    ```json
{
  "alt": "YouTube search results for Microsoft Ads login, featuring a Microsoft advertisement and video tutorial.",
  "caption": "Explore seamless ad setups with Microsoft in just five minutes. Discover tutorials and more on YouTube.",
  "description": "The image shows YouTube search results for 'Microsoft ads login' with a promoted ad about launching ads in five minutes. It includes visual elements like the Microsoft logo and a tutorial video thumbnail from XYZ Lab. The ad encourages quick setup and the video tutorial provides guidance on creating a Microsoft Ads account, offering various options like targeting and reporting."
}
```

    Disclosure: I’m a Microsoft employee, and some examples I’ll share are based on Microsoft tools, though the strategies are applicable across platforms.

    ```json
{
  "alt": "Search results page for 'Microsoft ads' showing sponsored listings from Microsoft Advertising and Reddit.",
  "caption": "Explore the world of online advertising with Microsoft's comprehensive ad offerings displayed in a search result!",
  "description": "This image displays a Google search results page with the query 'Microsoft ads.' At the top, sponsored results from Microsoft Advertising are highlighted, showcasing various advertising services like Search Ads and advertising with Copilot. Below these, another sponsored link for Reddit ads is visible. The interface includes typical Google search functionalities and a dark theme, enhancing visual clarity for online browsing."
}
```

    Query intent refers to the underlying need driving the text input into a search function, whether it’s on a search engine, video platform, or within AI applications. Conversion intent, on the other hand, centers on the actual goals users aim to achieve, derived from their interactions and data points.

    ```json
{
  "alt": "Search result for Microsoft ads, showing details about various advertising services offered by Microsoft.",
  "caption": "Explore Microsoft's advertising platform and unlock new possibilities for reaching your audience with advanced advertising tools.",
  "description": "Screenshot of a Google search result for 'Microsoft ads', highlighting Microsoft's online advertising platform. The result outlines various services including Microsoft Search Ads, Copilot AI tools, campaign import options, display and native ads, performance max campaigns, customer success stories, and free consultation. The platform connects advertisers to over 1.4 billion users across Bing, Edge, and more. This comprehensive advertising suite aims to enhance online sales, customer engagement, and campaign efficiency."
}
```

    The confidence in understanding these intents varies, influenced by how explicit the text is and observed content consumption patterns. For instance, searching for ‘Microsoft ads login’ reveals a clear intent to log in, readily aligning with ads and content targeted at this action.

    ```json
{
  "alt": "YouTube search results for 'Microsoft ads' with a smartphone image and Microsoft logo.",
  "caption": "Explore the world of Microsoft advertising with insightful content on YouTube. Discover how Microsoft is redefining digital engagement.",
  "description": "This YouTube search results page for 'Microsoft ads' features a prominent smartphone image showcasing an advertisement and the recognizable Microsoft logo. The page includes a sponsored link titled 'Advertise Smarter with Realize' and a section about Microsoft Advertising with 8.36k subscribers. An additional featured video titled 'AI Is Rewriting How People Buy' is included, emphasizing the impact of artificial intelligence on consumer purchasing behavior. Keywords: YouTube, Microsoft ads, advertising, AI, digital marketing."
}
```

    However, a query like ‘Microsoft ads’ is vaguer, prompting the need to draw insights from past engagement and search history to fulfill user expectations effectively.

    ```json
{
  "alt": "Screenshot of Google search results for purple hair dye displaying various products with options to refine by permanence and color.",
  "caption": "Discover the perfect shade of purple with this diverse selection of hair dyes—ranging from semi-permanent to permanent options, all searchable on Google.",
  "description": "This image is a screenshot of Google search results for 'purple hair dye', showcasing popular products such as L'Oreal Paris Feria, Arctic Fox, Garnier Nutrisse, and more. The interface includes filter options for refining results based on permanence, color, and features. Each product displays ratings, prices, and availability nearby, providing users with a comprehensive browsing experience for choosing the ideal hair color product."
}
```

    A non-branded query such as ‘purple hair dye’ shows a distinct transactional intent. Users have a general idea of what they want but not necessarily the brand, which necessitates a strategy that’s both inclusive and targeted.

    ```json
{
  "alt": "Online search results for 'purple hair dye' featuring various brands and prices.",
  "caption": "Explore a vibrant array of purple hair dyes with competitive pricing options from top brands.",
  "description": "The image displays online search results for 'purple hair dye' showcasing various products. Brands such as Arctic Fox, Garnier, and Manic Panic are featured, with prices ranging from $8.99 to $20.00. Retailers include Sally Beauty, Amazon, and Target, with options for free shipping and pickup. This variety highlights popular choices for vibrant hair color enthusiasts."
}
```

    By understanding the core desires behind queries, such as ‘purple hair dye for long wavy hair,’ we can fine-tune our approach to align products or content that specifically meet user preferences and characteristics.

    ```json
{
  "alt": "YouTube search results for purple hair dye featuring a sponsored ad for göt2b Hair Color PöP Purple and a video thumbnail comparing purple hair dyes.",
  "caption": "Dive into the vibrant world of purple hair dye with this engaging video comparison. Discover which shade suits you best!",
  "description": "The image shows a YouTube search results page for 'purple hair dye.' At the top is a sponsored ad for göt2b Hair Color PöP Purple. Below, a video thumbnail titled 'COMPARING ALL MY PURPLE HAIR DYE SWATCHES!' displays various brands of purple hair dye around a person with dyed hair. The video, uploaded 10 months ago, has 31K views and offers an in-depth review of different purple hair dye options. Ideal for those interested in experimenting with hair color, seeking vibrant and bold styles."
}
```

    Combining close variants and recognizing interactions beyond SERPs, like social media and video content, helps us tap into insights that enhance brand recognition and audience engagement effectively.

    ```json
{
  "alt": "Search results for purple hair dye for long wavy hair on Google, featuring nearby store options.",
  "caption": "Explore vibrant purple hair dye options for long wavy hair with nearby store availability and special offers.",
  "description": "This image shows search results for 'purple hair dye for long wavy hair' on Google. It displays various hair dye products available in nearby stores, such as L'Oreal Paris Feria, Arctic Fox Semi-Permanent, Garnier Nutrisse, Good Dye Young, and AS I AM Curl Color. The products feature prices, discounts, store availability, and ratings, providing options for permanent, semi-permanent, and temporary dyes. Filters for refining search results include permanency and product rating."
}
```

    Ultimately, aligning query and conversion intent needs careful planning and execution across both brand and performance marketing.

    ```json
{
  "alt": "Search results for purple hair dye for long wavy hair with product listings.",
  "caption": "Explore the vibrant world of purple hair dye with top products for achieving stunning long, wavy hair transformations.",
  "description": "The image displays a Google search results page for 'purple hair dye for long wavy hair.' It features sponsored product listings including brands like Moroccanoil, Arctic Fox, and Manic Panic, priced between $11.99 and $38.00. These listings highlight various options for achieving vibrant purple hues, suitable for long, wavy hair styles. Keywords: purple hair dye, long wavy hair, Moroccanoil, Arctic Fox, Manic Panic."
}
```

    Inspired by this post on Search Engine Land.


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  • Boost YouTube Conversions with Google’s Enhanced Demand Gen Tools

    Boost YouTube Conversions with Google’s Enhanced Demand Gen Tools

    I’ve been following the latest updates from Google, and it’s exciting to see how they’re enhancing Demand Gen tools. These updates are designed to help advertisers like me convert quicker and reach more new customers on platforms like YouTube.

    What’s happening. Google has integrated Demand Gen into their Commerce Media Suite. This means I can now leverage retailers’ first-party catalog and conversion data to connect with high-intent shoppers across YouTube, Discover, and Gmail.

    The introduction of view-through conversion (VTC) optimization is another great addition. It allows my campaigns to focus on conversions that occur after an ad is viewed—speeding up performance significantly.

    Why we care. These updates enhance the effectiveness of Demand Gen by turning views into tangible conversions. By utilizing retailer data and optimizing for view-through activities, I’m able to engage high-intent users, even if they don’t immediately click. This results in faster outcomes and increased customer acquisition.

    Between the lines. Google is now focusing beyond clicks, using richer commerce data and view-based attribution to generate results in more passive, discovery-rich environments like YouTube.

    ```json
{
  "alt": "Digital marketing campaign setup interface showing components like campaign name, goals, and performance metrics.",
  "caption": "Navigate your digital marketing with ease using a comprehensive campaign setup interface. Track goals, performance metrics, and more for optimized results.",
  "description": "This image displays a digital marketing platform's campaign setup interface. It includes sections for inputting campaign name, selecting campaign goals like conversions and clicks, and monitoring performance metrics such as estimated impressions and conversions. The interface is designed for optimizing marketing strategies with clear visualizations and detailed breakdowns. Keywords: digital marketing, campaign setup, performance metrics, marketing strategy."
}
```

    What to watch. I expect more exciting announcements about Demand Gen at upcoming events like Google Marketing Live. As YouTube evolves, it’s becoming a comprehensive performance channel.

    Bottom line. With these updates, Google has transformed Demand Gen into a robust, data-driven machine for converting high-intent audiences—especially on YouTube.

    Dig deeper. Demand Gen Drop – April 2026


    Inspired by this post on Search Engine Land.


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  • Mastering AI: Elevate Your Funnel with Bottom-Funnel Content

    Mastering AI: Elevate Your Funnel with Bottom-Funnel Content

    Traffic from Google searches is declining, and I know it firsthand because I’ve invested years in organic strategies. Seeing this shift in real-time is unsettling but also enlightening.

    I’ve observed this change particularly in my SaaS clients. The educational, top-of-funnel (TOFU) content that once consistently drew traffic is losing steam. This isn’t due to declining quality; users simply don’t need to click anymore. AI Overviews are handling their queries.

    This led me to a crucial choice: defend the old strategy or adapt to the new landscape. I decided to adapt.

    Surprisingly, while informational content is getting fewer clicks, bottom-of-funnel (BOFU) content is not only steady but often driving more qualified leads.

    This shift signifies a new understanding of value creation through search.

    The pivot: Making BOFU the priority

    My new approach focuses 60% to 80% of my efforts on bottom- and mid-funnel content. The rest fills in gaps with TOFU topics, supporting content clusters and timely industry discussions.

    When I proposed this change to clients, I put it plainly:

    • “You can choose between traffic and leads. If leads are your goal, here’s our path, though it may mean less traffic.”

    I was transparent that traffic might dip, but conversions would likely increase. Clients saw the appeal of a qualified pipeline over mere traffic.

    Comprehensive comparison guides and listicles aimed at high-intent queries are highly effective BOFU content.

    Take, for example, a guide on the best time-tracking software for construction. I created a reusable review methodology for the client, addressing pros and cons transparently, including their product. This honesty builds trust with evaluating readers.

    The guide was factual, precise, and targeted at decision-makers in the purchasing phase, not casual browsers.

    In weeks, it became our most referenced article in LLM responses. Now a cornerstone piece, it often appears in conversion pathways, driving qualified leads.

    That single piece outperformed a dozen previous informational posts in pipeline impact because it directly answers a buyer’s question.

    Dig deeper: How to align your SEO strategy with the stages of buyer intent

    TOFU isn’t dead; it just has a new role

    Many SEOs see this as a binary choice. But I haven’t abandoned TOFU content; I’ve simply repositioned it.

    TOFU now builds topical authority, supporting the ranking of BOFU pages. It’s the structure beneath the main act. Guides and educational content should:

    • Support content clusters.
    • Establish expertise in Google’s eyes.
    • Pass link equity to BOFU pages.

    We’ve revised top-performing TOFU pieces to connect directly to clients’ products, supported by screenshots and expert insights.

    Calls to action were redesigned for context and strategically placed throughout the content, not just at the end.

    ```json
{
  "alt": "The CapmatchOne logo with a gradient circle and bold text.",
  "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.",
  "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs."
}
```

    These changes significantly increased visitor engagement with demo request pages, without altering the informational purpose.

    The key is still producing valuable TOFU content but ensuring it has a unique perspective—something fresh and insightful.

    Specificity in a sea of AI-generated content sets us apart.

    Why this strategy excels in AI-driven search

    Visitors from AI platforms arrive informed and ready to weigh options. This aligns with how AI Overviews serve search results.

    AI Overviews are more frequent for informational than commercial queries. E-commerce searches trigger them less, safeguarding BOFU content for now, though commercial coverage is growing.

    This change in behavior modifies what content performs well. As informational value diminishes with upfront answers, decision-stage content gains importance, aiding users in comparison and validation.

    That’s why BOFU content thrives; it matches users’ decision-making phase, not just their search.

    The time tracking software comparison piece is a prime example. It often appears in discussions on construction time tracking tools. While it might not always convert instantly, its impact is evident in branded searches and lead generation.

    The attribution challenge to embrace

    Here’s the dilemma: BOFU content’s true value often isn’t reflected in traditional analytics.

    When someone discovers your solution via an AI response, then proceeds via direct or branded search to convert, it often appears as direct traffic in GA4, masking SEO’s role.

    Therefore, I’ve guided clients to emphasize broader performance metrics, including:

    • Trends in brand search volume.
    • Citation frequency in LLM platforms.
    • Increases in direct traffic post-publication.
    • Conversions even with stable traffic levels.

    The ROI of BOFU and LLM-focused content exceeds dashboard insights. Relying solely on immediate click metrics misses SEO’s true value creation.

    Your playbook for transitioning to BOFU

    Here’s a practical guide to capitalizing on this shift:

    • Audit for BOFU gaps: Identify purchase-stage queries lacking coverage. These high-intent gaps offer quick opportunities.
    • Create comparison content: Use a consistent review framework, openly address pros and cons for credibility and citations.
    • Enhance leading TOFU articles: Incorporate product links, contextual CTAs, and expert testimony for dual-purpose content.
    • Set up LLM tracking in GA4: Use regex segments to track AI referrer traffic and gain insights often overlooked.
    • Refocus client metrics dialogue: Shift focus from traffic to lead quality and conversion rates, reflecting modern SEO’s impact.

    AI Overviews have reshaped informational content economics.

    This disruption opens strategic doors. BOFU content traditionally converts better, and AI highlights the need to focus on content that drives revenue rather than mere site visits.

    The opportunity for strategic realignment is here, but it won’t last indefinitely.


    Inspired by this post on Search Engine Land.


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  • Mastering Audience Engineering: Elevate Your Paid Media Strategy

    Mastering Audience Engineering: Elevate Your Paid Media Strategy

    Audience engineering
    Embrace audience engineering to influence AI decisions, manage ad spend wisely, and connect with high-value customers through creativity and data.

    I’m witnessing a significant transformation in the paid media landscape as platforms shift from manual targeting to AI-driven audience discovery. This change is redefining how we approach advertising, with automation tools consolidating campaigns, obscuring data, and favoring prediction algorithms over manual selection.

    This transition requires me to innovate by mastering the art of audience engineering. By doing so, I ensure I’m equipped with strategies to thrive in this evolving landscape.

    The End of Manual Targeting as I Knew It

    Previously, I depended on detailed keyword lists and demographic filters to pinpoint my ideal audience. I directed platforms about where to focus and paid to access the desired market.

    However, these options are now outdated:

    • Google has transitioned to Performance Max, which eliminates keyword-specific targeting in favor of more fluid groups and signals.
    • Meta’s Advantage+ automates demographic focus, turning my role into that of a signal provider instead of an audience selector.
    • Microsoft’s inclusion of this model confirms this is an industry-wide evolution.

    While traditional targeting seems to have vanished, it has merely moved to the internal structures of the platforms where algorithms dictate the direction based on their indigenous data.

    The Rise of Audience Engineering

    My role shifts from targeting to engineering as it becomes more about guiding algorithms than manually selecting audiences.

    From Targeting to Teaching

    The distinction is crucial. Traditionally, targeting emphasized choosing audiences, but now it’s about educating AI with comprehensive conversion data, targeted creativity, and insightful first-party data.

    Previously, I might have targeted CFOs with job filters, but now I feed the AI robust data (e.g., “deal closed” signals) to characterize valuable prospects and devise creative content tailored to their needs.

    The New Competitive Discipline

    Embracing this transformation gives me an edge. By finetuning conversion signals, honing creative content, and fortifying data systems, I ensure our performance remains robust.

    The performance gap now relies on the quality of signals, making audience engineering pivotal for success.

    The Three Levers that Now Drive Targeting

    I focus on optimizing these three crucial AI inputs to ensure effective audience segmentation:

    1. Conversion Signal Quality

    By providing the algorithm with relevant business outcomes rather than superficial metrics, I encourage it to find results that truly matter.

    Using tools like Offline Conversion Imports (OCI) and the Conversions API (CAPI), I ensure our data highlights genuine sales by leveraging value-based bidding techniques.

    2. Creative as a Targeting Mechanism

    With no demographic filters, my creative content now acts as the primary targeting tool, filtering users through its message.

    If my creative targets niche pain points, the AI connects with users aligned with that perspective, even without traditional filters.

    3. First-Party Data as Competitive Moat

    Our customer lists and engagement signals become core learning elements for the algorithm, replacing third-party signals and offering a competitive edge.

    Essentially, I’m arming the AI with a guide to discover the most profitable audiences.

    How This Plays Out in Real Campaigns

    The journey to AI-led targeting isn’t just theoretical. Within our agency, managing over $215 million in media spend annually, we have evaluated this approach across different platforms, witnessing its power firsthand.

    Advantage+ Audiences in Practice

    One long-standing client had a specific perception of their audience based on a vast history of accurate data. Initially, our campaigns ran with tightly controlled targeting to maintain efficiency.

    Transitioning to Advantage+ allowed for data-driven optimization, revealing an unexpectedly lucrative older demographic, improving their click-through rates by 37% and conversion rates immensely.

    Broader AI-optimized targeting cut costs and raised revenue — outperforming past manual methods.

    By aligning goals with data and creative, we found valuable segments conventional targeting schemes previously overlooked.

    Microsoft PMax Placement Transparency and Advanced Audience Signal Targeting

    Another client benefited from a Microsoft PMax test, effectively targeting high-intent prospects using internal data across several Microsoft networks, seeing notable increases in performance metrics each month.

    This trial highlighted the importance of combining strategic oversight with smart AI deployment, enhancing the algorithm’s reach while maintaining disciplined campaign direction.

    The balance between scale and strategic input preserved efficiency and bolstered overall performance.

    The Risks Nobody is Talking Enough About 

    While automated targeting offers significant advantages, it’s essential to understand its limitations. Here’s what I strive to avoid:

    Garbage In, Garbage Out

    Poorly defined conversion objectives, weak data quality, or junk data hinder performance and mislead the algorithm. Feeding it quality information and focused outcomes is crucial.

    An overly broad goal without distinct signals results in quantity over quality, which doesn’t necessarily translate to business success.

    The Self-Reinforcement Trap

    If the seed data has biases, the AI will continuously optimize for those biases, possibly neglecting valuable audience segments.

    These underrecognized biases present inherent risks in leveraging automated systems without mindfulness.

    Automation Without Oversight

    Platforms promote broad automation, but I recognize the need for continued oversight to realign campaigns with business goals.

    Constant monitoring is essential to ensure objectives are met, avoiding a passive management style.

    Creative Complacency

    As automation advances, creative strategy becomes a crucial differentiator and shouldn’t be neglected.

    Crafting compelling creative that addresses core customer issues is vital in distinctively standing out.

    How to Put Audience Engineering into Practice

    Here’s how I integrate audience engineering into everyday operations:

    • Audit Conversion Events: Ensure conversion signals mirror authentic business achievements, prioritizing revenues.
    • Restructure Creative: Focus on intent signals, addressing what beliefs inspire conversion.
    • Predefine Guardrails: Establish performance boundaries before unleashing the algorithm, allowing for better campaign control.

    The Future Belongs to Audience Engineers

    The era of manual targeting is closing, but precision remains crucial. Audience engineering acts as an invaluable skill, unlocking AI’s full potential to achieve maximum results in this dynamic landscape.


    Inspired by this post on Search Engine Land.


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