Human-Centered Marketing: The Right Message To The Right People

This edited excerpt is from Human-Centered Marketing by Ashley Faus ©2025 and is reproduced and adapted with permission from Kogan Page Ltd.

Mapping content to the traditional funnel adds no value, since the journey behaves more like a playground than a linear progression.

Pitfalls of the traditional funnel include assuming that every person in the audience intends to and will become a customer, underestimating the sophistication of the buyer, and offering limited options for post-purchase retention strategies.

Building a seamless, delightful journey on a foundation of trust means that we must fundamentally rethink our framework for the audience journey.

Most marketers are familiar with the traditional funnel to outline the buyer’s journey, focusing on three key phases: awareness, consideration, and decision.

The funnel assumes that the audience journey begins with awareness, when, in fact, the audience journey begins long before marketers rec­ognize that this person is on a journey.

Introducing The Playground

We need to think about the journey as a playground: people can go up, down, sideways, and around. They can go to the equip­ment (content) in any order. They can enter and exit as they please. And they can use the content in the “wrong” way.

How many times do you force your audience to go through un­necessary steps because you’re trying to make them buy when they’re not ready; or, worse, you add friction to the buying process because you need to check the boxes on providing a white paper and a demo and a case study?

Why does this happen? It stems from the idea that we need to push prospects down the funnel to become leads and keep moving them through until they become customers.

Pitfalls Of The Customer Journey Map

Ultimately, every customer journey map ends with the prospect be­coming a lead and deciding to purchase the company’s offering. This linear journey map ignores retention, cross-sell, up-sell, and expansion opportunities.

While the looping journey does, at least, acknowledge the additional post-purchase phase, it fails to capture the complexity.

For example, many software-as-a-service companies have user limits for different tiers of their product offerings.

With the rise of product-led growth (PLG) as a key go-to-market motion, many SaaS products include a free tier, with user gates, feature gates, or both, to prompt free users to become paying customers.

Traditional journey maps obscure the messy middle of the customer journey, with weird hacks to stay under the user limit, lengthy negotiations on larger contracts for seat expansion, and fighting competitors when it comes time for the cus­tomer to renew.

This highlights another pitfall of the funnel and associated journey maps to move people through the funnel. It’s a retrospective measure­ment tool, not a forward-looking strategy tool.

If you map the journeys of people who did, in fact, become custom­ers, then you are correct in starting with a prospect having a problem, searching for a solution, and ultimately, choosing your offering.

If, however, you are trying to build a net-new audience, hone your nar­ratives to resonate with that audience, and map your content and distribution strategy, you can’t simply look at what happened in the past, on owned platforms, in the condensed time period where the buying process “officially” started.

In addition, consider a post-pur­chase scenario where the marketer makes the journey more difficult for a customer precisely because they want to track the interaction in more detail.

Collecting more information gives us a false sense of security. If we know just a bit more about this person, surely we can convince them to spend more money.

Traditional funnel models also fail to recognize the differences be­tween a user and an economic buyer. Many marketers recognize that buying involves multiple different people, but they assume that each stakeholder joins the process in a linear way.

For example, in larger companies, an economic buyer might need to go through a procure­ment process that includes a security assessment, compliance check­list, and legal or contract review before bringing in a new tool.

The linear funnel assumes that these stakeholders need to be addressed in the “decision” phase of the buying process.

And yet, ask anyone who’s been through procurement in a large enterprise, and they’ll tell you that it’s difficult, and, often, a deterrent to even starting a buying process.

In order to convince me to buy, you need to convince me that I’ll be able to buy. If you make it easy for me to make it through the procurement process, I’m much more likely to choose you as a ven­dor because I know that I’ll be successful in completing the process.

Consider another scenario, where individual teams are empowered to purchase tools and services on their own. These teams are all in the “post-purchase” phase.

At some point, the invoices might be large enough to warrant consolidation, which might trigger a wider vendor review. In that case, you’ve won over many users, but the economic buyer is now in the “awareness” phase, as they’ve just discovered you as a vendor.

Or, they might need to be convinced that solving this prob­lem should continue to be a priority at all. Alternatively, the buyers might immediately move to the “consideration” phase by opening a request for proposal (RFP) or researching competitors.

Maybe they’ve bought in on the problem, but they want to explore different solutions. They might need to learn about different possible solutions, even though there’s already a vendor solving this problem.

Once you decide to consolidate a contract, the spend might be big enough to require a more thorough vetting by the procurement, secu­rity, compliance, and legal teams.

At this point, who knows which phase of the funnel you’re in? Is it “retention” with the users who no longer actually have buying power?

Is it awareness or consideration with the economic buyer? Is it awareness or decision with teams who have the ability to block the deal, but aren’t the economic buyer?

As you can see, attempting to map content to a linear funnel by also mapping linear personas becomes quite a challenge!

These scenarios also minimize or ignore the sophistication of the buyer. In a B2B (business-to-business) context, most buyers are quite sophisticated. They’re well-versed in the problem space, and might have purchased solutions in the past.

They’re equipped to do their own research, and often prefer working through the initial vetting phases before reaching out to a company to initiate a buying process.

In fact, TrustRadius found that, in 2021, 43% of buyers re­ported consulting with vendor representatives, and that number dropped to an average of one out of four buyers in all but the largest deal sizes.

Instead, buyers preferred to conduct their own research, with a bias to­wards non-vendor-provided material.

Buyers favored free trials or ac­counts (56%), user reviews (55%), and community forums (37%) over vendor-provided materials such as customer references (15%), blogs (14%), and marketing collateral (14%).1

This trend continued in a 2024 report from 6sense, a company that arms revenue teams with data to accelerate deal conversions. It found that, when B2B buyers directly engage sellers, they are already 70% through their buying process.2

We see over and over that, by the time a marketer becomes aware that someone is in the buying process, they’re significantly behind the buyer’s knowledge of the problem space, research into the solution space, and affinity for a select list of solution providers.

They’re not coming to the company website cold, or blindly reaching out to a salesperson.

Instead, they’ve consulted a curated list of trusted sources, including conversations with their personal network, crowd­sourcing information, and recommendations from peers on social media and forums, and they’ve read about the pros and cons of dif­ferent providers from people like themselves.

To read the full book, SEJ readers have an exclusive 25% discount code and free shipping to the US and UK. Use promo code SEJ25 at koganpage.com here.

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[1] TrustRadius (2022), 2022 Buying Disconnect: The Age of the Self-Serve Buyer, go.trustradius.com/rs/827-FOI-687/images/TrustRadius_2022_ B2B_Buying_Disconnect_6.27.22.pdf (archived at https://perma.cc/ TG6X-UU8T)

[2] 6sense Research (2023), Out of Sight, Almost Out of Time: The 2023 6sense B2B Buyer Experience Report, 6sense, 6sense.com/report/ buyer-experience (archived at https://perma.cc/XJ3Z-ULJ4)


Featured Image: Natalya Kosarevich/Shutterstock

5 High-Impact Ways To Integrate Traditional & Digital Marketing For A Personalized Buyer Experience via @sejournal, @alexanderkesler

As emerging technologies, particularly AI, reshape B2B marketing strategies, many organizations are shifting resources toward digital transformation to remain competitive.

However, sidelining traditional marketing tactics to prioritize innovation can be a costly misstep.

Traditional channels such as print, direct mail, billboards, and events have considerable value, particularly when they are thoughtfully integrated with digital strategies and real-time demand intelligence.

Combining traditional and digital approaches offers a unique advantage, namely the ability for a brand to stand out in the sea of sameness.

Experiences that blend the old with the new are more likely to capture attention, foster trust, and drive meaningful engagement.

By aligning traditional media with digital insights and delivery systems, marketers can create a cohesive brand-to-demand experience – one that resonates with today’s self-directed, risk-averse buyers.

Here are five high-impact ways to integrate traditional and digital marketing for a more personalized and effective buyer experience.

1. Intent Data Intelligence + One-To-One Conversations

When fueled by intent data intelligence, the cold calls of yesterday become the insight-driven conversations of tomorrow.

Intent data empowers organizations to identify where prospects are within the buyer’s journey and to gauge their level of interest in specific solutions.

This approach transcends cold outreach, enabling marketers and sales teams to engage with prospects who are actively exhibiting buying intent signals.

Before initiating outreach, Go-To-Market (GTM) teams can use intent data to identify:

  • Prospects actively researching or seeking a solution.
  • Competing vendors under consideration.
  • Behavioral signals that reveal sales readiness or indicate the need for a longer nurture path.
  • Current challenges, questions, and priority search topics shaping buyer decisions.

Organizations can begin capturing meaningful intent signals directly from their own client relationship manager (CRM) and digital ecosystem.

Key first-party intent signals include:

  • Visits to solution-specific or pillar pages on your website.
  • Keyword searches aligned with your offerings.
  • Email engagement metrics, particularly open and click-through rates.

Once foundational tracking is established, GTM teams should consider enhancing their database with firmographic and technographic data.

When integrated thoughtfully into your GTM strategy, intent intelligence allows you to engage buyers with relevant messaging, transforming passive prospects into sales-ready opportunities.

2. Print Media + Deep Media Nurturing

The most effective B2B marketers are meeting the demands of cautious, self-directed buying groups by orchestrating deep media presence that aligns with how prospects prefer to research and engage.

Yet, according to our own Q4 2024 market research, only 22% of marketing teams prioritize the creation of buyer enablement materials, highlighting a significant gap between awareness-building efforts and buyer-centric strategies that support purchase decisions.

The most progressive strategies integrate AI-powered targeting, first-party intent data, and omnichannel delivery systems to ensure buyers receive value at every stage of their journey.

We know that on average, 33-50% of buyers go through seven or more pieces of content during the purchase process. Print media offers a distinct opportunity to break through this noise and command attention.

When informed by behavioral insights and demand intelligence, print media can be strategically activated in niche publications consumed by your target buying groups, delivering a high return on investment.

Here is how B2B buyer intelligence enhances print media experiences:

  • Predictive analytics and intent signals identify which accounts are most likely to purchase, enabling marketers to prioritize them for print media activation.
  • Generative AI enables personalization at scale by adapting core messaging across different print formats and channels.
  • QR codes integrated into compelling print advertisements bridge the physical and digital experience, allowing for trackable engagement and follow-up opportunities.
  • Print-on-demand and programmatic print technologies make it possible to deliver hyper-personalized physical content with the same agility and precision as digital campaigns.

For marketers focused on brand-to-demand integration, combining technology-enabled media strategies with high-trust formats, such as print, provides a unique and differentiated way to capture buyer attention.

3. Events + ABX

Ensuring that key accounts receive a personalized follow-up experience through an Account-Based Experience (ABX) strategy is an effective way to bridge traditional event marketing with modern, buyer-centric engagement.

ABX enables marketers to connect with prospects before, during, and after an event, creating a cohesive journey that adds value at every stage.

Before the event, contacts can be engaged with targeted nurture streams that build interest and provide relevant insights, effectively “priming” them with content that addresses common pain points, frequently asked questions, or industry trends.

This not only enhances their readiness to engage at the event, but also empowers them with the context to have more meaningful conversations on-site.

For example, if a prospect receives content around B2B buyer advocacy in pre-event nurture, they may arrive at the booth with a deeper understanding of the topic and specific questions in mind.

This creates an opportunity for sales to engage in more relevant, high-value discussions, transforming a standard booth interaction into strategically qualified engagement.

By extending the event experience beyond the show floor, ABX ensures that traditional marketing efforts are amplified through intent-driven, personalized interactions.

This leads to stronger relationships, clearer value exchange, and accelerated pipeline progression.

4. Billboards/Posters + Geotargeting + Nurture

To maximize the effectiveness of traditional advertising platforms such as billboards and posters, marketers can integrate geotargeting to bridge physical impressions with digital engagement.

Geotargeting enables the delivery of tailored follow-up content based on a viewer’s location, allowing billboard placements to align strategically with key account locations, such as near a corporate headquarters or an industry event venue.

When paired with compelling creatives and a clear call to action, such as a short, memorable URL or QR code, billboards can guide viewers to personalized landing pages that extend the message and encourage deeper interaction.

These landing pages can be tailored by industry, buyer stage, or intent signals, further enhancing relevance and conversion potential.

At a more advanced level, mobile location data can be used to identify devices that have passed by a billboard.

This type of geotargeting enables marketers to retarget those individuals with personalized digital nurture campaigns, reinforcing the original message across multiple touchpoints.

By combining location-specific placement with digital activation, billboards evolve from static awareness tools into measurable components of a modern ABX strategy that drives engagement and accelerates pipeline.

5. Direct Mail + Buyer Intelligence

When executed with precision and relevance, direct mail can be a powerful tool for re-engaging prospects who have become unresponsive to digital touchpoints.

A well-timed physical asset can prompt renewed interest, particularly when guided by demand and buyer intelligence.

Technology can play a critical role in elevating direct mail from a generic outreach method in the following ways:

  • Intent data and predictive analytics, together forming deep data intelligence about the prospect or account, identify when a buying group is entering an active research or purchasing stage, ensuring that direct mail is sent at the most strategic moment.
  • AI-driven personalization enables messaging tailored to a recipient’s industry, role, behavior patterns, or known tech stack.
  • Programmatic print technology allows for scalable, real-time production of customized assets such as postcards, letters, or dimensional mailers, triggered by specific prospect actions or buying signals.
  • Integrated measurement platforms unify physical and digital engagement data, allowing marketers to continuously optimize campaigns.
  • QR codes and custom landing pages extend the journey, creating a seamless transition from physical to digital.

If five follow-up emails have failed to elicit a response, a sixth is unlikely to succeed. However, a timely and thoughtful piece of direct mail, such as a handwritten note, a tailored infographic, or a personalized token of value, can break through resistance and reinitiate dialogue.

Beyond performance metrics, direct mail also builds trust. When buyers feel recognized and understood, they are more inclined to engage, respond, and move forward in their buying journey.

As part of a broader demand strategy, direct mail plays a key role in creating high-impact, memorable moments that differentiate your brand from the competition.

Key Takeaways

  • Intent data intelligence turns cold outreach into warm conversations by leveraging behavioral signals to prioritize high-value prospects and boost efficiency.
  • ABX transforms events into full-funnel experiences through pre-nurture, contextual engagement, and tailored follow-up.
  • Direct mail, enhanced by demand intelligence and personalization, cuts through digital noise and re-engages prospects with targeted, tangible touchpoints.
  • With geotargeting, personalization, and integrated measurement, even traditional media becomes seamlessly trackable and conversion-ready.

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Featured Image: JMiks/Shutterstock

How to Build a Brand That Truly Connects

If your brand doesn’t resonate on a deep level with your target audience, then pouring time and energy into aesthetics and clever messaging is a waste of resources.

Real brand power is based on your brand’s identity: knowing who you are as a company, and how your ideal customer experiences life in relation to your offering.

Search Engine Journal’s Editor-in-Chief Katie Morton sits down with Mordy Oberstein, founder of Unify Brand Marketing, to go deeper on how to build a brand with a solid foundation.

Watch the video or read the full transcript below.

Start With Brand Identity

Katie Morton: Hello, everybody. It is I, Katie Morton, Editor-in-Chief of Search Engine Journal, and I’m here today with Mordy Oberstein, who is the founder of Unify Brand Marketing.

So, Mordy, what are we going to talk about today?

Mordy Oberstein: Hi there, everybody. Last time we spoke about what brand marketing is fundamentally and how to approach it. Today, I’m gonna talk about how to actually develop a brand and run through that process.

We’re gonna try to be jargon-free about what brand development actually looks like and what the stages are, and how they should all flow one into the other.

Katie: That sounds great. OK, so what’s the first concept?

Brand Therapy: Don’t Fear a Niche

Mordy: OK, this is where I think brands get really messed up. If you feel like you’ve lost traction, like you don’t have direction or you’re all over the place – whatever it is – most problems come down to this issue, which is… (I’m not going to say the jargon word) but it comes down to: Who are you?

And this is where you’re doing therapy for your brand. You’re trying to figure out who you are in a real, deep way. Kind of what we talked about last time – about building some meaning for yourself. You need to think about: Who are you? Where do you want to be? How do you want to be seen? How are you seen? How do you want to be seen going forward?

This is the part where it gets a little bit scary. I’m going to ask you: What scares you? Because this is where brands kind of feel like, “Maybe we’re going to pigeonhole ourselves.” But you’re not.

I’m not going to use the identity word – wait, I said identity – used jargon. Darn it!

This is where you kind of feel like maybe we’re going to pigeonhole ourselves if we have too much of a pigeonhole kind of audience. Don’t. It’s scary, but you have to do it.

This is where brands get off the rails. You have to understand who you are in a real way, because who you are rolls right into who you’re for.

Know Your Core Audience

Mordy: If I was dating my wife back in the day and my wife didn’t like sports at all, I’d be like, “Oh, my wife’s not for me. I’m a sports nut,” which is not true. That’s not how dating actually works.

Knowing who you are rolls right into: Who are you for?

Once you know who you are, the next step is: Who’s actually interested in you? Who’s your core audience? And this is a direct outcome of who you are, which is why it’s important.

The next stage in brand development – once you know who you are and who you’re for (that doesn’t mean you have to be only for them, but they’re your core) – is what problems does that audience have?

And by problems, I don’t mean USPs (which I know is a jargon word, but I’m going to use it so we know what we’re talking about). I’m not talking about pain points.

I’m talking about: What’s going on in their lives as it generally relates to your product or service?

Let me give you an example: Minivans. Why do I always use minivans? If I was making minivans, I would want to know: What’s the context? What’s the life situation of the parent or guardian driving and schlepping these kids around? What’s happening in their lives around the product?

It’s not a pain point. It’s not a USP. It’s what’s happening in the life of your audience, as it relates to generally speaking about the product/service, whatever you do.

Now that you know that, the next step in brand development is: How do you fit those needs?

This is where your “USP stuff” kind of comes in. And by the way, everything here should align from who you are to your audience, to what their problems are, to how do you fit those needs (because you know who you are now, obviously)?

Build From The Ground Up, Messaging Comes Last

Mordy: Because of who you are, how do you now solve those problems that your audience or people or consumers are dealing with in their lives? Now, once you know that, stage five would be, how do you actually communicate that? Or rather, what’s important about that to communicate?

We now know who we are. We now know who we’re for. We now know what the problems and the life situation is of the people we’re for. And we know how we solve and deal with those situations with who we are as a product, as a service, as an offering.

What’s important to tell the audience about who we are and how we solve their problems?

Don’t try to refine it here. Don’t try to have it snappy and snippy. Nothing catchy. No taglines. Just what’s important conceptually as a framework to communicate to your audience.

What’s conceptually important – what should the audience understand?

And the last step is to refine that. It’s not going to come in one shot. It’ll take multiple iterations to do it. It’s not going to be perfect, and you’ll never be 100% happy with it. It’s better that it’s honest and genuine than it is perfect.

If we want to zoom out and use the jargon, we just ran through:

  • Creating brand identity.
  • Using identity to define the target audience.
  • Understanding the audience’s life context.
  • Positioning the offering.
  • Developing key messaging.
  • And then refining the message.

Katie: I like it.

Mordy: No jargon, I almost got through it!

SaaS Doesn’t Have To Mean Utility

Katie: I think it speaks to our audience to use a little bit of jargon in there. And speaking of that, I’m sure a lot of people you talk to and a lot of people in the Search Engine Journal universe are SaaS, software as a service.

I like the minivan example because it’s easy to wrap your head around. It’s an obvious life circumstance. You just say that word ‘minivan’ and it’s giving you a picture of being married with a bunch of kids, driving them around. You say one word, and it paints this whole picture. With SaaS, it’s so different.

And what would it be like, as a thought exercise to go through this, if you invent a software that’s a rabbit food feeding timer?

Mordy: Okay. A set that feeds your rabbit on a timer.

Katie: Something that’s life-oriented, right? Like, think about our universe, which is really kind of abstract, right? In terms of people’s day-to-day. And they’re really using software, probably in a professional sense, and probably not in their home life for the most part, let’s say like a marketing software or, you know, ads like PPC.

Mordy: I consult for a marketing software, so I’m not going to use a marketing software because I’m biased. Let’s say I use like a video editor tool – does that work?

Katie: Yeah, that works.

Mordy: All right, cool.

Brand Identity is the Foundation

Mordy: First of all, the most important thing is where I think brands get everything wrong. It’s not like one stage, and you go from stage one, which is brand identity to messaging refinement, which is, what, stage six?

Don’t think of it as a line. I did one, and now I go to the next one, then I go to the next one. Think of it like you’re stacking a building. You’re building a building.

The foundation is a brand identity, and then you build the next floor, the next floor, the next – and the top floor, the roof is the refinement that everybody can see from the helicopter.

But they’re not—if you imagine they’re in a helicopter looking down on this roof – they can’t see all of the other layers, but you can. And you have to start with brand identity.

And this – particularly for a SaaS tool – because SaaS, it’s really easy to get stuck in being a utility. “We’re just a utility.”

The problem with being a utility is that there’s no actual connection. And as soon as somebody else finds another utility that’s better, cheaper, or whatever, they’ll move. There’s no loyalty, which is literally what I did… I used another tool. I found it a little bit cumbersome. The pricing wasn’t super clear, so I moved to this one.

Now, I don’t love this one, by the way. If something else came along, I would totally move to the other one.

There’s no identity. I don’t know what separates CapCut from the other one I was using.

I don’t use Camtasia anymore only because I have an old license. I don’t want to pay for a new one. So if I’m going to pay for a new one, I find it a little bit cumbersome.

I have no actual loyalty to any of these platforms because I don’t know who they are and what makes them different.

You know why I don’t know who they are and what makes them different? Because they don’t know who they are.

A Connection With Your Audience Gains Customer Loyalty

Katie: If they worked on connecting with you as a brand and developed that emotional bond, you’d be more likely to stick with them, even if something better came out, a better feature.

Mordy: Because it’d be more for me. Right. They have to ask themselves – and I can’t do this for them – I don’t even know anything about it other than the tool. Someone recommended it to me and I use it.

They have to figure out: Why are you doing this? Why do you want to do this outside of making money? Why do you find this meaningful?

“Oh, because…” Let’s just say, “Because we help. Because we are into the idea of being able to do X, Y, and Z.”

Oh, okay, CapCut. Let’s just say their big thing is (because I use this part of their tool, so I like it—they automatically remove my background and put a new one):

“We’re all about people who don’t have a professional setup feeling like they have a professional setup.”

That’s just really important because we see the value in that. “We want to democratize video content,” etc. That would be an actual brand identity.

So now I know who I’m for. I’m not for a professional. I’m a big brand, I have a whole studio, I’m Coca-Cola, I have a whole in-house studio on site. [I’m not for them.] I’m for this audience.

Now, what are their problems, and what’s going on with them, and what’s happening with them?

Now it’s kind of easier to see.

“I really want to create professional-level content, but I don’t have the skills to do it.” I’m also not an idiot, either. So I kind of know what it’s supposed to look like. I kind of know what it’s supposed to be. I don’t have the time. I don’t have the technical know-how. I don’t want to pay anybody to do it.

These are my problems. How do you come in and solve that?

Katie: So it’s like the entire market proposition is tied into that.

Mordy: But they only realize to talk to me about my problems, and how they solve my problems, once they figure out who they were first.

But everybody skips that step. Everyone goes right to the roof—because that’s the only thing you can see.

Katie: That’s fascinating, Mordy. Brick by brick – you’ve got to stack it up before you get to the helicopter view.

Mordy: Gotcha. It’ll all come crumbling down at a certain point. The messaging won’t work. It’ll all fall apart. That sounds really doomsday-ish.

Katie: It does. But I do think that I will be checking out CapCut’s branding – to see what are they doing over there?

All I know is their little logo that I see frequently at the end of some of my favorite creators.

Mordy: So that’s good branding. It’s not great branding, but better than nothing.

Katie: Exactly. Better than nothing.

Wrapping Up: Shout Brand From The Rooftops

Well, Mordy, this has been very enlightening, and I want to thank you for coming on and sharing with me today.

What’s next?

Mordy: I was going to shout “brand!” from the rooftops. That was so like a dad joke.

Next time, we’re going to dive deeper into Stage One, which is building brand identity, and what that actually looks like, and how you do it.

Katie: That’d be fantastic. All right, everybody, thanks for joining us. And check us out: searchenginejournal.com.

Mordy, what’s your website?…

Mordy: Oh, I should know this – good branding! unifybrandmarketing.com.

Katie: Awesome. All right. See you next time, everybody.

Katie & Mordy: Bye!

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Featured Image: Paulo Bobita/Search Engine Journal

AIO Hurting Traffic? How To Identify True Loss With GA4, GSC & Rank Tracking [Webinar] via @sejournal, @lorenbaker

Wondering if AI Overviews (AIOs) are stealing your clicks?

Are these AI answer engines eating into our traffic, or just changing the shape of it?

Google’s AI Overviews now appear on up to 40% of search queries, but what impact are they really having?

Stop Guessing. How To Measure AIO’s Real Impact

Get the on-demand webinar, where we explore the three main tools that can help you:

In this tactical on-demand session, Tom Capper, Sr. Search Scientist at STAT, will walk you through a practical framework for assessing AIO impact using three tools you already rely on.

You’ll learn to pinpoint if, where, and how AIOs affect your traffic so that you can respond with clarity, not guesswork.

Start Measuring the Real Impact of AIOs on SERPs Today

Don’t rely on assumptions.

Grab this free on-demand webinar now to accompany the slides below; uncover if AIOs are actually hurting your traffic, and what to do about it.

Join Us For Our Next Webinar!

Lead Local SEO: How To AI-Proof Your Rankings With Reviews

Join Mél Attia, Sr. Marketing Manager at GatherUp, as she shows how consumer trust and AI updates are reshaping Local SEO, and how agencies can lead the way.

See What AI Sees: AI Mode Killed the Old SEO Playbook — Here’s the New One via @sejournal, @mktbrew

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

Is Google using AI to censor thousands of independent websites?

Wondering why your traffic has suddenly dropped, even though you’re doing SEO properly?

Between letters to the FTC describing a systematic dismantling of the open web by Google to SEO professionals who may be unaware that their strategies no longer make an impact, these changes represent a definite re-architecting of the web’s entire incentive structure.

It’s time to adapt.

While some were warning about AI passage retrieval and vector scoring, the industry largely stuck to legacy thinking. SEOs continued to focus on E-E-A-T, backlinks, and content refresh cycles, assuming that if they simply improved quality, recovery would come.

But the rules had changed.

Google’s Silent Pivot: From Keywords to Embedding Vectors

In late 2023 and early 2024, Google began rolling out what it now refers to as AI Mode.

What Is Google’s AI Mode?

AI Mode breaks content into passages, embeds those passages into a multi-dimensional vector space, and compares them directly to queries using cosine similarity.

In this new model, relevance is determined geometrically rather than lexically. Instead of ranking entire pages, Google evaluates individual passages. The most relevant passages are then surfaced in a ChatGPT-like interface, often without any need for users to click through to the source.

Beneath this visible change is a deeper shift: content scoring has become embedding-first.

What Are Embedding Vectors?

Embedding vectors are mathematical representations of meaning. When Google processes a passage of content, it converts that passage into a vector, a list of numbers that captures the semantic context of the text. These vectors exist in a multi-dimensional space where the distance between vectors reflects how similar the meanings are.

Instead of relying on exact keywords or matching phrases, Google compares the embedding vector of a search query to the embedding vectors of individual passages. This allows it to identify relevance based on deeper context, implied meaning, and overall intent.

Traditional SEO practices like keyword targeting and topical coverage do not carry the same weight in this system. A passage does not need to use specific words to be considered relevant. What matters is whether its vector lands close to the query vector in this semantic space.

How Are Embedding Vectors Different From Keywords?

Keywords focus on exact matches. Embedding vectors focus on meaning.

Traditional SEO relied on placing target terms throughout a page. But Google’s AI Mode now compares the semantic meaning of a query and a passage using embedding vectors. A passage can rank well even if it doesn’t use the same words, as long as its meaning aligns closely with the query.

This shift has made many SEO strategies outdated. Pages may be well-written and keyword-rich, yet still underperform if their embedded meaning doesn’t match search intent.

What SEO Got Wrong & What Comes Next

The story isn’t just about Google changing the game, it’s also about how the SEO industry failed to notice the rules had already shifted.

Don’t: Misread the Signals

As rankings dropped, many teams assumed they’d been hit by a quality update or core algorithm tweak. They doubled down on familiar tactics: improving E-E-A-T signals, updating titles, and refreshing content. They pruned thin pages, boosted internal links, and ran audits.

But these efforts were based on outdated models. They treated the symptom, visibility loss, not the cause: semantic drift.

Semantic drift happens when your content’s vector no longer aligns with the evolving vector of search intent. It’s invisible to traditional SEO tools because it occurs in latent space, not your HTML.

No amount of backlinks or content tweaks can fix that.

This wasn’t just platform abuse. It was also a strategic oversight.

SEO teams:

Many believed that doing what Google said, improving helpfulness, pruning content, and writing for humans, would be enough.

That promise collapsed under AI scrutiny.

But we’re not powerless.

Don’t: Fall Into The Trap of Compliance

Google told the industry to “focus on helpful content,” and SEOs listened, through a lexical lens. They optimized for tone, readability, and FAQs.

But “helpfulness” was being determined mathematically by whether your vectors aligned with the AI’s interpretation of the query.

Thousands of reworked sites still dropped in visibility. Why? Because while polishing copy, they never asked: Does this content geometrically align with search intent?

Do: Optimize For Data, Not Keywords

The new SEO playbook begins with a simple truth: you are optimizing for math, not words.

The New SEO Playbook: How To Optimize For AI-Powered SERPs

Here’s what we now know:

  1. AI Mode is real and measurable.
    You can calculate embedding similarity.
    You can test passages against queries.
    You can visualize how Google ranks.
  2. Content must align semantically, not just topically.
    Two pages about “best hiking trails” may be lexically similar, but if one focuses on family hikes and the other on extreme terrain, their vectors diverge.
  3. Authority still matters, but only after similarity.
    The AI Mode fan-out selects relevant passages first. Authority reranking comes later.
    If you don’t pass the similarity threshold, your authority won’t matter.
  4. Passage-level optimization is the new frontier.
    Optimizing entire pages isn’t enough. Each chunk of content must pull semantic weight.

How Do I Track Google AI Mode Data To Improve SERP Visibility?

It depends on your goals; for success in SERPs, you need to focus on tools that not only show you visibility data, but also how to get there.

Profound was one of the first tools to measure whether content appeared inside large language models, essentially offering a visibility check for LLM inclusion. It gave SEOs early signals that AI systems were beginning to treat search results differently, sometimes surfacing pages that never ranked traditionally. Profound made it clear: LLMs were not relying on the same scoring systems that SEOs had spent decades trying to influence.

But Profound stopped short of offering explanations. It told you if your content was chosen, but not why. It didn’t simulate the algorithmic behavior of AI Mode or reveal what changes would lead to better inclusion.

That’s where simulation-based platforms came in.

Market Brew approached the challenge differently. Instead of auditing what was visible inside an AI system, they reconstructed the inner logic of those systems, building search engine models that mirrored Google’s evolution toward embeddings and vector-based scoring. These platforms didn’t just observe the effects of AI Mode, they recreated its mechanisms.

As early as 2023, Market Brew had already implemented:

  • Passage segmentation that divides page content into consistent ~700-character blocks.
  • Embedding generation using Sentence-BERT to capture the semantic fingerprint of each passage.
  • Cosine similarity calculations to simulate how queries match specific blocks of content, not just the page as a whole.
  • Thematic clustering algorithms, like Top Cluster Similarity, to determine which groupings of passages best aligned with a search intent.

🔍 Market Brew Tutorial: Mastering the Top Cluster Similarity Ranking Factor | First Principles SEO

This meant users could test a set of prompts against their content and watch the algorithm think, block by block, similarity score by score.

Where Profound offered visibility, Market Brew offered agency.

Instead of asking “Did I show up in an AI overview?”, simulation tools helped SEOs ask, “Why didn’t I?” and more importantly, “What can I change to improve my chances?

By visualizing AI Mode behavior before Google ever acknowledged it publicly, these platforms gave early adopters a critical edge. The SEOs using them didn’t wait for traffic to drop before acting, they were already optimizing for vector alignment and semantic coverage long before most of the industry knew it mattered.

And in an era where rankings hinge on how well your embeddings match a user’s intent, that head start has made all the difference.

Visualize AI Mode Coverage. For Free.

SEO didn’t die. It transformed, from art into applied geometry.

AI Mode Visualizer Tutorial

To help SEOs adapt to this AI-driven landscape, Market Brew has just announced the AI Mode Visualizer, a free tool that simulates how Google’s AI Overviews evaluate your content:

  • Enter a page URL.
  • Input up to 10 search prompts or generate them automatically from a single master query using LLM-style prompt expansion.
  • See a cosine similarity matrix showing how each content chunk (700 characters) for your page aligns with each intent.
  • Click any score to view exactly which passage matched, and why.

🔗 Try the AI Mode Visualizer

This is the only tool that lets you watch AI Mode think.

Two Truths, One Future

Nate Hake is right: Google restructured the game. The data reflects an industry still catching up to the new playbook.

Because two things can be true:

  • Google may be clearing space for its own services, ad products, and AI monopolies.
  • And many SEOs are still chasing ghosts in a world governed by geometry.

It’s time to move beyond guesses.

If AI Mode is the new architecture of search, we need tools that expose how it works, not just theories about what changed.

We were bringing you this story back in early 2024, before AI Overviews had a name, explaining how embeddings and vector scoring would reshape SEO.

Tools like the AI Mode Visualizer offer a rare chance to see behind the curtain.

Use it. Test your assumptions. Map the space between your content and modern relevance.

Search didn’t end.

But the way forward demands new eyes.

________________________________________________________________________________________________

Image Credits

Featured Image: Image by MarketBrew. Used with permission.

10 Key Hurdles That CMOs Must Overcome In 2025 And Beyond via @sejournal, @gregjarboe

Right now, CMOs are navigating a fast-moving environment, marked by economic pressures, new technologies, and shifting consumer expectations.

The pressure to demonstrate impact while adapting to new platforms, regulations, and expectations has never been greater.

For marketing leaders, this means constantly adjusting strategies to stay competitive and relevant.

To prepare for the marketing equivalent of the Olympic high hurdles, the article below outlines the 10 key hurdles that CMOs must overcome in 2025 and beyond.

1. Demonstrating Return On Marketing Investment (ROMI) Amidst Economic Uncertainty

Economic volatility and tighter marketing budgets are forcing CMOs to do more with less.

Although most are asked to show the return on investment of marketing expenditures, the right metric to use is return on marketing investment (ROMI).

While both are measures of profitability, ROI measures money that is “tied up” in plants and inventories (which are capital expenditures or CAPEX), while ROMI measures money spent on marketing in the current quarter (which are operational expenditures or OPEX).

The formula for calculating ROMI is:

(Incremental Revenue from Marketing × Contribution Margin – Marketing Spend) / Marketing Spend = ROMI

For example, Amazon reportedly paid MrBeast $100 million to produce the first season of his reality show “Beast Games.”

MrBeast says he’s lost “tens of millions” producing the show. But how does Amazon’s CMO, Julia White, calculate the ROMI for “Beast Games,” which launched in November 2024?

Let’s say the estimated lifetime value of an Amazon Prime member is around $2,000, and a scientific wild-ass guess (SWAG) for the paid membership program’s contribution margin is about 12.5%.

So, “Beast Games” needs to generate roughly $2 billion in incremental revenue for Amazon Prime to get a ROMI of 1.5.

Here’s how to calculate that:

[$2 billion × 12.5% – $100 million] / $100 million = 1.5

That means “Beast Games” needs to generate a million new Amazon Prime members for the paid membership program to get $1.50 in profit for every $1.00 it spends on MrBeast.

2. Adapting To Google’s AI Overviews And Other SERP Features

CMOs should read Kevin Indig’s article, “The First-Ever UX Study Of Google’s AI Overviews: The Data We’ve All Been Waiting For,” which paints the most significant new picture of how people use Google that I’ve seen since Gord Hotchkiss, the former CEO of Enquiro, produced his first search engine user eye tracking study back in 2007.

Indig’s groundbreaking usability study, which was conducted with Eric van Buskirk and his team, analyzed how 70 users interact with Google’s AI Overviews (AIOs), involving nearly 400 AIO encounters. The findings reveal that AIOs significantly reduce outbound clicks: desktop click-through rates (CTR) can fall by two-thirds, and mobile CTR by almost half.

Most users (70%) only read the top third of an AIO, with a median scroll depth of 30%. Trust in AIOs correlates with scroll depth. Younger mobile users (25-34) are more likely to accept AIOs as final answers (50% of queries).

Brand authority is now the primary decision filter, followed by relevance.

When users do click out after viewing an AIO, about a third of that traffic goes to community forums like Reddit and videos on YouTube.

The study concludes that search is shifting from a “click economy” to a “visibility economy,” where being cited high in an AIO is crucial, as users treat AIOs like quickly scanned fact sheets.

CMOs should also watch the IMHO interview with Indig that Search Engine Journal’s Shelley Walsh recorded about his research.

3. Meeting Evolving Customer Expectations Across Their Omnichannel Journeys

CMOs also face the challenge of addressing changing customer interests throughout their multichannel journeys.

To overcome this high hurdle, a recent SparkToro article said that true audience research needs to go beyond basic demographics or keywords.

This requires delving into what genuinely interests consumers, the specific language they use, their motivations, and potential barriers to action.

Understanding where they spend their time online and which information sources they trust is also crucial.

For example, Jeff Baker and his partners created Beach Commute, a startup aimed at the “location-independent” community.

Their primary challenge was identifying the correct terminology and phrases used by professionals seeking a location-independent lifestyle, since their target audience is still developing and lacks standardized language.

This made it difficult to connect with potential users through traditional keyword research, since search terms were varied and intent was often unclear.

For example, “work and travel” often led to individuals seeking work-exchange programs rather than career-focused remote work.

Beach Commute used SparkToro to gain deeper insights into consumer behavior and search intent.

By comparing potential homepage keyword targets like “become a digital nomad” and “make money while traveling,” SparkToro revealed distinct audience motivations.

The “digital nomad” audience was more interested in aspirational travel and advice, aligning better with Beach Commute’s offerings.

In contrast, the “money and travel” group focused on entrepreneurial “hacks.” This data allowed Beach Commute to refine its keyword strategy and effectively target the right audience.

4. Balancing Artificial Intelligence (AI) And Human Creativity

CMOs are also tasked with strategically integrating AI to enhance marketing effectiveness, drive efficiency, and enable hyper-personalization. But how do their teams balance AI capabilities with human creativity?

For over a quarter-century, the PODS container has served as a mobile advertisement across American streets, acting as a constant reminder of the brand.

In a recent initiative, Tombras, the creative agency for PODS, collaborated with Google Gemini to transform one of its containers into the “World’s Smartest Billboard.”

This innovative billboard was designed to be aware of its surroundings, capable of identifying its precise location, the current time, prevailing traffic conditions, weather patterns, and even subway delays.

Leveraging this data, the smart billboard could generate and display highly specific and relevant messages for each neighborhood it was in, all in real-time.

As part of an ambitious demonstration, the team undertook the challenge of taking this intelligent billboard to every single neighborhood in New York City within a tight 29-hour timeframe.

This feat, considered humanly impossible, was achieved through the combined efforts of human creativity and AI.

The creative team worked closely with Google Gemini to ensure the AI could replicate the company’s distinct tone and content style on a massive scale.

This collaboration resulted in the creation and instant display of over 6,000 hyper-local, real-time ads on the PODS container.

The project highlights the remarkable outcomes that can be achieved when creative professionals, advanced multimodal AI, and a moving company join forces.

5. Aligning Marketing Strategies With Overall Business Objectives

CMOs are increasingly expected to drive business growth, necessitating a close alignment of marketing strategies with overall company goals like revenue generation and market expansion.

It requires CMOs to demonstrate marketing’s financial contribution and, as Avinash Kaushik advises, refine their use of dashboards and scorecards.

In an Occam’s Razor article, Kaushik highlights that CMOs often track non-essential metrics, leading to data overload.

To counter this, he proposes categorizing data into key performance indicators (KPIs), diagnostic metrics, and influencing variables. This framework helps focus senior leadership on critical business impacts, particularly profits, while allowing teams to manage tactical optimizations separately.

This strategic approach to data aims to clarify what truly matters for achieving business objectives, distinguishing between strategic measures and in-flight tactical adjustments.

Despite its apparent simplicity, Kaushik notes that many marketing teams struggle with this differentiation, prompting him to outline distinct characteristics for each category across eleven factors.

For example, Hilton and Dentsu Americas collaborated on the “For The Stay” campaign, using video as a central element of their marketing efforts.

A key question they sought to answer, according to Hilton’s Rebecca Panico, was how to effectively tailor creative content to specific audiences.

By doing so, they achieved substantial growth in brand awareness, customer consideration, purchase intent, and booking conversions, demonstrating the effectiveness of their strategy in a changing travel market.

6. Effective Content Creation, Scaling, And Differentiation

In an increasingly crowded digital space, producing high-quality, engaging, and differentiated content consistently is a major hurdle, especially with limited resources.

With the rise of AI-generated content, the emphasis on authentic, human-crafted storytelling and unique brand messaging becomes even more critical to stand out.

To surmount this hurdle, CMOs should start by reading AI & Creators: The future of Tech and Creativity, which provides an in-depth exploration of the current and future effects of generative AI on creator businesses.

To support this, YouTube conducted its largest global survey to date, examining how creators around the world are integrating Gen AI into their work.

Then, CMOs should read  Your Brandcast 2025 recap: Culture, creators, and commerce.

At the event, YouTube celebrated its 20th anniversary, highlighting its evolution as a dominant media platform and “the new TV.”

Brandcast 2025 also emphasized the growing impact of creators on culture and commerce, noting that 81% of U.S. viewers use creator content for product discovery, and YouTube ads deliver a 4.5X higher return on ad spend than other streaming TV.

YouTube also unveiled new advertising innovations for Connected TV (CTV). These include Cultural Moments Sponsorships for major events, and “Peak Points” powered by Google AI to place ads during peak audience engagement.

Additionally, new immersive Masthead ads and Shoppable CTV features aim to drive awareness and action directly from the living room, connecting creators, fans, and brands across all viewing experiences.

7. Building And Maintaining Brand Trust And Authenticity

In today’s climate of consumer skepticism and the prevalence of cancel culture, maintaining brand trust and authenticity has become increasingly difficult.

CMOs must ensure that brand messaging remains consistent, transparent, and aligned with a company’s core values and behaviors.

For example, Kantar’s May 2025 Monthly Trends Report says transparency, particularly around data usage, can offer a competitive edge in a world marked by extreme disruption and uncertainty.

This volatile environment is not entirely new. For years, critiques of globalized commerce and culture have been gaining momentum from both ends of the political spectrum: the left condemns cultural imperialism, while right-wing populism has grown since the Great Recession.

These long-standing tensions have intensified recently, with inflation, COVID-19, climate change, and war disrupting the marketplace. Tariff threats have added further strain, placing American brands under heightened scrutiny.

Historically, brands functioned within a relatively stable ecosystem of supply chains, digital media, and retail consolidation, largely removed from political turmoil.

Today, however, they find themselves entangled in it, struggling to preserve brand equity and market share.

Kantar research highlights a rise in anti-American sentiment due to tariffs, yet paradoxically shows American brands are stronger and more valuable than ever.

Despite this resilience, future stability is uncertain. The challenge for brands is not merely survival but sustained growth, which is becoming increasingly rare.

To thrive, CMOs must resist the temptation to retreat under pressure and instead focus on consistently adding consumer value – offering more reasons to engage, not fewer.

8. Navigating Data Privacy And Governance In A Post-Cookie World

With the decline of third-party cookies and the strengthening of data privacy regulations like GDPR and CCPA, CMOs face the critical challenge of ethically managing customer data.

This involves prioritizing the collection of first-party and zero-party data, ensuring transparency in data usage, and investing in secure platforms to build and maintain customer trust.

How do CMOs overcome this high hurdle while outrunning their competitors? They should start by reading  Google Analytics Adds New Features For Privacy-Era Tracking.

Google has updated Google Analytics to improve data accuracy and help marketers identify issues faster, adapting to evolving privacy rules.

Key enhancements include “Aggregate Identifiers” to prevent misattribution of paid traffic when Google Click Identifiers (GCLID) are unavailable, and “Smart Fallback Methods” using UTM tags as a backup.

CMOs should then read, “Where Are The Missing Data Holes In GA4 That Brands Need?

This article highlights that Google Analytics 4 (GA4) data, while useful, often misses crucial information about initial user acquisition, like how users first discover a brand.

SEO professionals should use audience research and surveys to understand these “missing bullet holes” and verify their GA4 interpretations.

9. Attracting, Retaining, And Upskilling Marketing Talent

The shift to hybrid work environments and the rapid evolution of marketing technologies necessitate innovative approaches to talent management.

CMOs face the challenge of attracting, retaining, and developing top marketing talent with the right skills, particularly in areas like AI, data analytics, and digital transformation.

Fostering a formidable team culture and providing continuous learning opportunities are the keys to avoiding tripping over this hurdle.

But CMOs should also read “I’m a LinkedIn Executive. I See the Bottom Rung of the Career Ladder Breaking.

According to Aneesh Raman, the chief economic opportunity officer at LinkedIn, AI increasingly threatens entry-level jobs, traditionally crucial for young workers to gain experience.

This mirrors past manufacturing declines, now impacting office roles in tech, law, and customer service, where AI automates basic tasks.

Data shows rising unemployment for recent graduates, with Gen Z being particularly pessimistic about their futures.

While AI will also create new jobs, and executives still value fresh perspectives, the loss of entry-level positions can significantly hinder early career development and exacerbate inequality.

To address this, the essay proposes reimagining entry-level work. This includes training workers in AI-relevant skills and redesigning jobs to offer higher-level tasks, leveraging AI as a tool for growth and adaptability rather than mere automation.

10. Fostering Cross-Functional Collaboration

Finally, marketing can no longer operate in a silo. Effective CMOs must champion cross-functional collaboration to ensure cohesive strategies and a unified customer experience.

This may be the hardest obstacle to overcome because it requires CMOs to unlearn what they have learned about the marketing department organization.

The most common organizational structure for marketing departments is called “functional” – because it puts distinct functions into different departments. But this creates dysfunctional silos with limited flexibility to adapt quickly or effectively to changes in market demand.

What’s the alternative? CMOs can organize their marketing teams by market segments, target audiences, or groups of people with specific interests, intents, and demographics.

This customer-centric organizational structure ensures that all their marketing teams are focused on putting customer needs and interests first in every interaction with the brand.

It also improves the likelihood that each team will understand their customers’ needs, concerns, and desires, and tailor marketing efforts to deliver value and exceptional experiences.

Now, I realize that most marketers mistakenly believe “reorgs” are bad, but reorganizations are infinitely less terrible than “layoffs.”

I also realize that most agencies dread “reorgs” because these often trigger “agency reviews.” But agencies should focus on delivering value, rather than simply providing services, to stand out and achieve long-term success.

This means moving beyond traditional service models and offering solutions that directly address client business needs and lead to measurable results.

Summary

To successfully navigate these 10 key hurdles, CMOs must become master jugglers, balancing technology with creativity, short-term performance with long-term brand building, and data-driven insights with authentic customer connections.

By addressing these critical hurdles, from adapting to AI-powered search to building consumer trust in a privacy-first world, marketing leaders can future-proof their organizations and drive meaningful growth.

Marketing is more complex than ever, but there is plenty of opportunity if you can move quickly, think strategically, and lead cross-functional teams with clarity and purpose.

More Resources:


Featured Image: Elnur/Shutterstock

Is Google About To Bury Your Website? [Webinar] via @sejournal, @lorenbaker

The new AI Mode is rewriting the rules of search. Are you ready?

Google’s AI-generated answers are starting to dominate the SERPs, pushing traditional results further down the page. If your business relies on organic traffic, you can’t afford to ignore this shift.

Join us on June 25, 2025, for an expert-led webinar sponsored by Conductor. Get actionable strategies from Nick Gallagher, SEO Lead at Conductor, to help you adapt fast and stay ahead of the curve.

What you’ll learn:

  • Spot the queries most likely to trigger AI Overviews.
  • Identify industries seeing the biggest changes in traffic.
  • Audit which brands are being highlighted in AI answers.
  • Update your SEO game plan to stay visible.
  • Track and interpret shifts in traffic and performance metrics.

Why this matters now:

Traditional SEO tactics are no longer enough. Understanding how AI Mode works and knowing how to respond could be the difference between steady growth and a sharp drop in traffic.

Don’t let AI Mode catch you off guard.

Register today to secure your spot. Can’t make it live? Sign up anyway, and we’ll send you the full recording.

How AI Detects Customer Hesitation (And Converts It Into Sales) via @sejournal, @purnavirji

Yesterday, I had hiking boots in my cart. Size selected, reviews read, I was even picturing myself on the trail. Then I hesitated. “Will these pinch my wide feet?” Three clicks later, I bounced.

These types of hesitations cost businesses millions.

We’ve gotten excellent at grabbing attention and driving traffic. But success comes down to attention coupled with intention.

The real challenge is optimizing for the micro-moments that determine conversions. Those moments where a finger hovers over “buy.” Eyes flick to the return policy. And then, that dreaded tab back to your competitor.

An essential skill for today’s marketers is conversion design, where we decode hesitation as a behavioral signal.

How do you guide attention toward action? How do you eliminate the friction that causes hesitation? AI can help us spot and solve for these in a way that we haven’t been able to previously.

78% of organizations now use AI in at least one business function according to McKinsey’s 2025 State of AI research, yet most aren’t applying it where it matters most: the critical seconds when attention converts to action.

Understanding The Hesitation Moment

Your visitors have done their research. They’re on your product page, comparing options, genuinely considering a purchase. Then doubt creeps in:

“Will this integration work with our current setup?”

“Is this jacket too warm for Seattle?”

“Can I trust this company with a project this important?”

These small but significant moments determine whether someone converts or walks away. Behavioral science calls this “ambiguity aversion,” our brain’s tendency to avoid uncertain outcomes.

AI is now giving us visibility into these hesitation patterns that were invisible before. Let’s look at how leading brands are responding.

Retail: Removing Size Uncertainty

A Fortune 100 retailer analyzed cart abandonment and discovered shoppers were lingering over size charts before dropping off.

Instead of simply displaying standard measurements, they built a system that detects hesitation patterns and immediately surfaces:

  • Photos of real customers with height/weight stats wearing that exact item.
  • One-click connection to a live sizing consultant.
  • 90-day wear reviews showing how fit changed over time.

This resulted in 22% fewer returns and 37% higher conversion rates [Source: Anonymized client data].

Lululemon: AI-Powered Customer Segmentation

Google’s recent case study on Lululemon shows how the activewear brand used AI to address hesitation at scale.

Instead of treating all visitors the same, Lululemon’s AI identifies where customers are in their decision journey and adjusts messaging accordingly.

Their approach included:

The results showed a substantial reduction in customer acquisition costs, increased new customer revenue from 6% to 15%, and an 8% boost in return on ad spend (ROAS). The strategy was so effective that it earned top honors at the Google Search Honours Awards in Canada.

B2B: Enterprise Software Hesitation

In B2B, hesitation moments are different but no less critical. Enterprise buyers often get stuck on three key concerns:

  • Integration compatibility: “Will this work with our existing systems?”
  • ROI justification:How do I prove value to leadership?
  • Implementation risk: “What if this disrupts our operations?”

Smart B2B companies use AI to detect these hesitation patterns:

  • When someone spends 60+ seconds on pricing pages, especially toggling between tiers.
  • Downloads technical specs, then immediately visits competitor comparison pages.
  • Views implementation timelines multiple times without requesting a demo.

Leading SaaS platforms can trigger personalized responses based on these signals, such as custom ROI calculators, implementation case studies from similar companies, or direct connection to technical specialists.

Microsoft’s Conversational AI In Action

Microsoft’s data shows the power of AI in addressing customer hesitation in real-time. Their recent analysis reveals:

  • AI-powered ads deliver 25% higher relevance compared to traditional search ads.
  • Copilot ad conversions increased by 1.3x across all ad types since the November 2024 relaunch.
  • 40% of users say well-placed AI-powered ads enhance their online experience.

AI is well beyond automating existing processes to now anticipating uncertainty and responding in real time.

The Hesitation-To-Action Framework

Here’s how to start optimizing for hesitation reduction:

1. Identify Hesitation Moments

Use tools like:

  • Heatmaps to see where users pause or hover, e.g., Users hover over “compatibility” but don’t click. Add clarity to product specs.
  • Session recordings to watch actual user behavior, e.g., A user toggles pricing tiers, then exits, indicating confusion or doubt.
  • Behavioral tracking to identify patterns before drop-off, e.g., Users who view the return policy are 2x more likely to abandon cart.
  • Sales call logs to find commonly asked questions and concerns, e.g., “How long does onboarding take?” Add a visual onboarding timeline.

2. Create Confidence Content

Address uncertainty directly:

  • Technical specifications for B2B concerns, e.g., “Compare to Your Stack” chart.
  • Social proof from similar customers, e.g., Quotes from similar customers with similar concerns.
  • Transparent information about potential drawbacks, e.g., “Who This Isn’t Right For” section to builds trust (Sometimes, showing a drawback increases trust more than another benefit).
  • Comparison tools that highlight advantages, e.g., “Compare us to [Competitor X]” chart, to keep people on site.

3. Deploy Behavioral Triggers

Implement AI-powered responses:

  • Dynamic content that adapts based on user behavior, e.g., Lingers on “Team Plan” pricing tier? Show a testimonial from a similar-sized company.
  • Personalized chat prompts triggered by hesitation signals, e.g., Toggles pricing three times? Prompt: “Want help calculating ROI for your team size?”
  • Targeted offers that address specific concerns, e.g., Returning visitor? “Still deciding? Here’s 10% off.”
  • Smart recommendations based on similar customer patterns, e.g., Read three CRM blog posts? Show a case study on CRM integration.

4. Test And Optimize

Microsoft emphasizes the importance of continuous testing. 85% of marketers using generative AI report improved productivity across content and ad creation.

Start small:

  • Choose one campaign or conversion point to optimize, e.g., Demo sign-ups underperforming? Test new headline and CTA.
  • Test AI-generated variations of copy and creative, e.g., Speed vs. security vs. ROI messaging.
  • Monitor real-time insights to refine approaches, e.g., “See how it works” gets more clicks than “Get Started.”
  • Scale successful tactics across other touchpoints, e.g., Winning copy gets rolled into LinkedIn ads and webinar invites.

5. Solve For The Measurement Challenge

Lululemon’s success came from implementing what they called a “measurement trifecta by blending marketing mix modeling (MMM), experiments, and attribution to gain a more holistic view of performance.”

This comprehensive approach revealed:

  • How different activities influenced sales over time.
  • Which touchpoints were most effective in the customer journey.
  • Where hesitation was occurring and being resolved.

The Strategic Shift For Search And Social

SEO

AI Overviews (AIO) are changing how content gets discovered. It’s important to anticipate doubts before they form, structure answers for AI extraction, and prove claims with third-party data.

Create content that addresses hesitation at different stages of the buying journey. Your product pages need to rank and convert uncertain visitors into confident customers.

Paid Search

Use AI to detect behavioral signals that indicate hesitation. Adjust landing pages, ad copy, and bidding strategies based on where users are in their decision process.

Track micro-conversions that indicate reduced hesitation, such as time spent with size charts, clicks on customer reviews, and interactions with chat.

Social Media

  • Share case studies and video testimonials addressing common concerns.
  • Post behind-the-scenes content showing actual product usage.
  • Share first-party data and statistics as proof points.
  • Use polls to identify hesitation points in your audience.
  • Use sentiment analysis to identify hesitation in comments and messages.
  • Test dynamic ad content and AI-generated social copy variations.

Closing The Attention To Intention Gap

Traffic is just the beginning.

For high impact, you need to earn trust in the seconds that matter most. AI gives us the power to see hesitation in real time and resolve it before it becomes regret.

Success often comes down to these micro-moments, these seconds when someone hovers between interest and action.

Master those micro-moments and everything else follows.

More Resources:


Featured Image: fizkes/Shutterstock

What It Takes To Stay On Top Of Local Search In 2025 [Webinar] via @sejournal, @lorenbaker

Is AI Changing How Local Customers Find You?

If your clients rely on local search to drive business, the landscape is shifting faster than ever. 

AI-driven updates are changing how users see results, how trust is built online, and how businesses get chosen in 2025.

The real question is, will your local SEO strategy keep up or fall behind?

Get Ready For The New Rules Of Local SEO

In our upcoming webinar, you will explore the latest insights from a major study of over 15,000 businesses and 1,200 consumers. This is your opportunity to stay ahead of AI changes and lead your clients to stronger local visibility.

What You Will Learn In This Local SEO Webinar

✅ Current local SEO ranking signals every agency should know.
✅ How Google’s AI updates are reshaping local results and map packs.
✅ New ways to boost visibility and build consumer trust in 2025.
✅ How to turn these insights into a new local SEO service offering.
✅ How to identify and fix technical review signals that may be hurting your rankings.

Why This Webinar Matters Now

Local search behavior is evolving quickly. New AI tools are not just changing how results appear, they are also reshaping what customers trust and choose. 

This webinar gives you a real-world strategy to protect your local presence and turn SEO insights into agency growth.

Your Speaker

Mél Attia, VP of Marketing at GatherUp, will guide you through the major shifts happening right now and how to position your clients for success.

Can’t Make It Live

No problem. Register today, and we will send you the full recording so you can watch it on your own time.

Turn reviews and local signals into real SEO results for 2025 and beyond.

The Overlooked Traffic Drop Caused by AI Overviews [Webinar] via @sejournal, @lorenbaker

If your rankings are stable but your clicks are fading, AI Overviews could be the reason. 

These AI-powered summaries now show up on nearly half of Google searches. While they aim to help users, they may be shifting attention away from your site.

The problem is not just visibility. It is visibility without engagement. And the only way to fix it is to know exactly where the drop is happening.

That is what this session is designed to do.

AIO Hurting Traffic? How To Identify True Loss With GA4, GSC and Rank Tracking
Live on June 11, 2025 | Sponsored by STAT SA

Join us for a tactical webinar that breaks down how to track, measure, and respond to traffic loss caused by AI Overviews. You will explore how to use GA4, GSC and rank tracking to separate what has changed and what still works.

What you will take away from this session

✅ A method for separating AIO traffic from traditional organic clicks.
✅ A clear process for identifying traffic loss that is often hidden.
✅ Steps to update your SEO strategy based on your actual data.
✅ A framework to turn assumptions into insights you can act on.

Tom Capper, Senior Search Scientist at STAT SA, will guide you through the same tools and techniques used by leading SEO teams to evaluate AIO impact and protect long-term search performance.

This is not about guesswork. This is about clarity. If your site is losing visibility in subtle ways, now is the time to find out why and what to do next.

Can’t make it live

Register anyway, and we will send you the full recording to watch on your own schedule.