The Last 12 Months Changed the Customer Journey More Than the Last Decade
It feels like online consumer behavior has changed more in the last 12 months than it did in the previous 10 years.
That is not a clean statistic. It is not something that can be proven with one chart or one industry report. Consumer behavior does not move in a perfectly measurable line, and every category is different.
But for many marketers, business owners, publishers, agencies, and growth teams, the feeling is real.
The dashboards are changing.
Search impressions are softer in categories that used to feel predictable.
Clicks are harder to earn.
Cost per click is rising in competitive markets.
Cost per lead is harder to defend.
More searches are ending without a website visit.
More consumers are using social platforms, AI assistants, forums, marketplaces, review ecosystems, and recommendation engines to research decisions before they ever reach a company’s website.
The individual pieces of this shift have been building for years. But recently, they have started to converge.
That convergence is what makes the current moment feel so different.
It is not just that AI search is changing SEO.
It is not just that paid media is getting more expensive.
It is not just that consumers are using TikTok, Reddit, YouTube, ChatGPT, Perplexity, Gemini, Google AI Overviews, and social platforms to make decisions.
It is that all of these changes are happening at the same time.
The result is a new customer journey that is more fragmented, less measurable, and increasingly shaped by systems that sit outside the traditional analytics stack.
The old journey was messy, but familiar
For most of the last decade, the online customer journey had a recognizable shape.
A consumer had a problem, need, or question.
They searched Google.
They scanned results.
They clicked a website.
They compared a few options.
They filled out a form, called a business, booked an appointment, bought a product, or came back later through another channel.
That journey was never as linear as the funnel diagrams suggested. People bounced between devices. They asked friends. They saw ads. They compared reviews. They forgot and returned later. Attribution was always imperfect.
But the main events were still relatively visible.
Search Console could show impressions and clicks.
Google Analytics could show sessions and conversion paths.
Google Ads could show CPC, conversion rate, and cost per lead.
CRM systems could show lead source and revenue.
The company could look at the dashboard and at least understand the broad shape of demand.
That visibility shaped the growth playbook.
If organic traffic was down, invest in SEO.
If conversion rates were weak, improve the landing page.
If paid search was working, increase budget.
If cost per lead rose, refine targeting, improve ads, or build better forms.
If a category page ranked well, create more pages like it.
This was not easy, but it was understandable.
Now the buyer is still out there. The demand may still exist. The research is still happening.
But more of it is happening somewhere the old dashboard cannot see.
Search is becoming an answer layer
The first major shift is search itself.
Search engines used to be primarily navigational. They helped users find pages. Over time, they became increasingly answer-oriented, surfacing featured snippets, local packs, knowledge panels, product modules, maps, and direct answers.
Now AI-generated summaries have accelerated that shift.
Google has said AI Overviews expanded to more than 200 countries and territories and more than 40 languages by May 2025. Google also said at I/O 2025 that AI Overviews had scaled to more than 1.5 billion users. [1][2]
That kind of distribution matters.
When an AI-generated answer appears at the top of the search experience, the results page is no longer just a list of possible destinations. It becomes part of the research process itself.
The user may still click.
But they may not need to.
Pew Research Center analyzed Google search behavior in March 2025 and found that users who encountered an AI summary clicked a traditional search result link in 8% of visits. Users who did not encounter an AI summary clicked a traditional result nearly twice as often, in 15% of visits. Pew also found that users clicked a link inside the AI summary in only 1% of visits that included such a summary. [3]
That is not the end of search. It is not the end of SEO. It is not proof that every business will lose traffic.
But it is evidence that the behavior around search is changing.
For years, the strategic goal was to win the click.
Now, in many situations, the first strategic goal may be to become part of the answer.
Zero-click behavior is already mainstream
AI Overviews are part of a larger zero-click trend.
SparkToro’s 2024 zero-click research found that 58.5% of Google searches in the United States and 59.7% in the European Union resulted in zero clicks. In those cases, users either ended the session or refined the query rather than clicking through to the open web. [4]
That means the majority of Google searches in that study did not produce a click to an external website.
For businesses, this changes the meaning of visibility.
A company may be present in the search experience. It may be seen, summarized, compared, or indirectly considered. But if the user does not click, much of that influence never shows up in the company’s analytics.
This creates a gap between market presence and measurable traffic.
In the old model, search visibility and website traffic were tightly connected.
In the new model, visibility can happen without traffic.
That is a profound shift for marketers who have spent years using clicks as the primary evidence of customer interest.
AI is moving into product and service research
The second major shift is consumer use of generative AI.
People are not only using AI tools to write emails or summarize documents. They are using them to research products, compare options, find deals, build shopping lists, and make decisions.
Adobe reported in March 2025 that, based on a survey of 5,000 U.S. consumers, 39% had used generative AI for online shopping, and 53% planned to do so that year. Among those shopping-related AI uses, Adobe cited research, recommendations, finding deals, gift ideas, discovering unique products, and creating shopping lists. [5]
Adobe later reported that, in another survey of 5,000 U.S. consumers, 38% said they had used generative AI for online shopping, with 52% planning to do so that year. The most common use cited was conducting research, followed by receiving product recommendations and seeking deals. [6]
The exact numbers will vary by study, time period, and category. But the direction is clear: AI is becoming part of the consumer decision process.
That matters because AI research behavior is different from traditional search behavior.
A traditional search might look like:
“best accounting software for small business”
An AI-assisted research session might look more like:
“I run a small consulting business with five employees. I need accounting software that handles invoicing, payroll integration, expense tracking, and works well with my accountant. Compare the best options and tell me which one is best for a business like mine.”
That is not just a keyword.
It is a conversation.
It includes context, constraints, comparison, and recommendation.
For brands, this changes the competitive surface area. You are no longer only competing for rankings on a search results page. You are competing to be understood and recommended inside a synthesized answer.
Social search is becoming real search
The third major shift is social discovery.
For younger consumers especially, social platforms are no longer just entertainment channels. They are search engines, review engines, recommendation engines, and trust engines.
Sprout Social reported in 2025 that more than one in three consumers across age groups prefer searching on social platforms first for product reviews and recommendations. The same research stated that 76% of users said social content influenced a purchase in the previous six months, including 90% of Gen Z. [7]
That has significant implications.
A customer might search TikTok for restaurant ideas.
They might use Reddit to validate a software purchase.
They might use YouTube to compare products.
They might use Instagram to evaluate a brand’s taste, credibility, or social proof.
They might ask ChatGPT to synthesize the options.
They might then search Google for the specific brand they already decided to consider.
By the time they reach the website, a large part of the decision may already be made.
Traditional analytics may record a branded organic visit, a direct session, or a paid retargeting click.
But the real influence may have happened earlier, across platforms that are difficult to connect into one clean attribution path.
The cost of buying attention keeps rising
The fourth major shift is pressure on paid acquisition.
As organic clicks become less predictable and consumer attention fragments, more businesses lean harder on paid channels to maintain growth. That can increase competition in already crowded auctions.
At the macro level, digital advertising continues to grow. IAB and PwC reported that U.S. internet advertising revenue reached $259 billion in 2024, a 15% year-over-year increase. [8]
In 2026, IAB reported that U.S. internet advertising revenue reached nearly $300 billion in 2025, a 13.9% year-over-year increase. [9]
Those numbers do not mean every advertiser is paying more for every click. They do not prove cost per lead is rising in every category. Paid performance depends on market, creative, targeting, offer, brand strength, funnel, and competition.
But they do show that more money continues to move into digital advertising.
For many businesses, that creates a familiar squeeze:
Organic visibility is less predictable.
Clicks are harder to earn.
Paid competition is intense.
Acquisition costs rise.
Leadership still expects growth.
When that happens, businesses often try to solve a changed customer journey with the same old tools: more budget, more landing pages, more ads, more content, more reporting.
Sometimes that works.
But increasingly, the issue is not just execution.
It is that consumer behavior has moved faster than the measurement model.
The website is still central, but its role is changing
One of the most important misunderstandings about this moment is the idea that websites are becoming less important.
They are not.
If anything, the website may be becoming more important.
But its job is changing.
In the old model, the website was primarily a destination. It was where a user landed after a click. It needed to convert, persuade, inform, and capture demand.
In the new model, the website is still a destination, but it is also source infrastructure.
It helps search engines, AI systems, answer engines, comparison tools, customers, journalists, reviewers, and partners understand the business.
It tells the market:
Who you are.
What you do.
Where you operate.
Who you serve.
What categories you belong in.
What makes you credible.
What proof supports your claims.
How you compare to alternatives.
When you should be recommended.
That means the website is no longer only measured by sessions and conversions.
It should also be judged by how clearly it helps the market understand the company.
If AI systems cannot confidently describe what you do, if they do not associate you with the right categories, if they do not cite you, if they recommend competitors instead, or if they misrepresent your strengths, the issue may not show up as a simple website performance problem.
It may show up as invisibility.
The dashboard is not wrong. It is incomplete.
This is an important distinction.
GA4 is not useless.
Search Console is not obsolete.
Google Ads is not irrelevant.
CRM attribution still matters.
Call tracking still matters.
Rank tracking still matters.
The problem is not that these tools are wrong. The problem is that they were built around a journey where the click was the central observable event.
The modern journey has more pre-click influence, more no-click influence, and more answer-layer influence.
That means the old analytics stack may still tell you what happened after someone arrived.
But it may tell you less about how they formed the opinion that caused them to arrive, or why they never arrived at all.
A company might see fewer impressions and assume its content is worse.
It might see fewer clicks and assume its rankings failed.
It might see higher CPL and assume the paid team is underperforming.
It might see more direct or branded traffic and underestimate the role of AI, social, review sites, forums, or zero-click discovery.
Sometimes those assumptions will be correct.
Often, they will be incomplete.
The new question is not simply “Which channel drove the conversion?”
The better question is:
“Where did the customer become aware, informed, persuaded, and confident enough to act?”
That journey may include Google, AI assistants, social platforms, review sites, video, forums, ads, email, word of mouth, and the website.
But only some of those moments are visible in a standard analytics dashboard.
This is why the last 12 months feel different
The last decade brought many changes to online marketing.
Mobile changed the interface.
Social changed attention.
Programmatic changed media buying.
Privacy changes weakened tracking.
Amazon and marketplaces changed ecommerce.
TikTok changed discovery.
GA4 changed reporting.
But the current shift feels different because the core behavior of research is changing.
Consumers are not just clicking different links.
They are asking different systems.
They are expecting synthesized answers.
They are comparing options through conversations.
They are letting platforms summarize the web for them.
They are using social content as proof.
They are making decisions before the website visit.
They are moving across channels faster than most businesses can measure.
And increasingly, the systems shaping those decisions do not behave like the old web.
A search result could be optimized for rankings.
An AI answer has to understand, synthesize, compare, and recommend.
A social platform does not just reward relevance. It rewards culture, trust, entertainment, and authenticity.
A review ecosystem does not just reflect what a brand says. It reflects what customers experience.
A marketplace does not just show who exists. It shapes pricing, comparison, and availability.
The customer journey is no longer a path. It is a web of influence.
What businesses should do now
The answer is not to abandon traditional digital marketing.
Businesses still need strong websites, SEO, paid search, content, conversion optimization, reviews, local presence, social proof, email, CRM, and analytics.
But they also need to expand what they measure.
The modern visibility audit should include questions like:
Are we visible in AI-generated answers for our category?
Are we mentioned when customers ask recommendation-style questions?
Which competitors are being recommended more often than we are?
Are AI systems using accurate language to describe our business?
Do they understand our services, products, locations, and ideal customers?
Are we cited as a source?
Do our website pages clearly support the claims we want the market to understand?
Are customers seeing us in social search, forums, reviews, and video before they ever reach our site?
Are our paid media costs rising because we are buying demand that we used to capture organically?
Are we interpreting traffic declines as a website problem when they may reflect a broader change in customer behavior?
This is the new operating layer.
The old marketing dashboard asks:
“How many people clicked?”
The new visibility dashboard asks:
“Are we being found, understood, trusted, and recommended across the places where decisions now happen?”
The companies that adapt first will have an advantage
Consumer behavior is not going to return to a simpler funnel.
Search will continue to evolve.
AI tools will become more capable.
Social platforms will keep absorbing discovery.
Paid acquisition will remain competitive.
Attribution will remain imperfect.
The companies that adapt will not be the ones that chase every new platform or panic over every traffic decline. They will be the ones that understand the structural change.
They will realize that visibility is no longer just a ranking.
It is a presence across answer engines, search experiences, social platforms, content ecosystems, review environments, and the company’s own website.
They will realize that the website is not just a conversion asset.
It is the source layer that helps the market understand who they are.
They will realize that analytics are still necessary, but no longer sufficient.
And they will start measuring what the old tools were never designed to show.
It may be difficult to prove that online consumer behavior has changed more in the last 12 months than in the previous 10 years.
But it is not difficult to see why it feels that way.
The customer journey is being rewritten in real time.
And for businesses that rely on being discovered, compared, trusted, and chosen online, the most dangerous response is to assume the old dashboard still tells the whole story.
Sources:
[1] Google announced in May 2025 that AI Overviews were available in more than 200 countries and territories and more than 40 languages.
[2] Google said at I/O 2025 that AI Overviews had scaled to more than 1.5 billion users.
[3] Pew Research Center found that Google users who encountered an AI summary clicked a traditional result in 8% of visits, compared with 15% when no AI summary appeared; users clicked a link inside the AI summary in only 1% of visits with an AI summary.
[4] SparkToro’s 2024 zero-click study reported that 58.5% of U.S. Google searches and 59.7% of EU Google searches resulted in zero clicks.
[5] Adobe reported that, in a survey of 5,000 U.S. consumers, 39% had used generative AI for online shopping and 53% planned to do so that year.
[6] Adobe also reported that 38% of surveyed U.S. consumers had used generative AI for online shopping, with common uses including research, recommendations, and finding deals.
[7] Sprout Social reported that more than one in three consumers prefer searching social platforms first for product reviews and recommendations, and that 76% of users said social content influenced a purchase in the previous six months.
[8] IAB/PwC reported that U.S. internet advertising revenue reached $259 billion in 2024, up 15% year over year.
[9] IAB reported that U.S. internet advertising revenue reached nearly $300 billion in 2025, up 13.9% year over year.
