For years, retail marketing has been organized around a reassuringly linear idea: A consumer recognizes a need, researches available options, compares products and eventually makes a purchase.
The modern customer journey rarely behaves so neatly.
A future customer may first encounter a product while watching a creator reorganize a kitchen, explain a skin-care routine, restore a vintage car or review the equipment used to produce a podcast. The viewer is not necessarily shopping. There may be no search query, product-page visit or declared purchase intent. Yet the conditions that will eventually shape a transaction are already forming.
The creator establishes trust. The product acquires context. A community supplies validation. Repeated exposure builds memory. By the time the consumer searches for the item—or types the brand’s name directly into a browser—the most consequential persuasion may have already occurred.
The new retail funnel begins before the customer decides to shop.
That shift complicates nearly everything marketers have built around intent, attribution and channel performance. The systems closest to a transaction can identify when demand is captured. They are much less reliable at showing where that demand began.
Discovery is moving upstream
Entertainment and commerce no longer occupy separate parts of the consumer experience. Streaming video, creator content, social communities and shopping tools increasingly coexist within the same platforms and sometimes within the same piece of content.
Google’s 2025 analysis of YouTube Shopping found that successful commerce trends were shaped by the interaction of creators, communities, content formats and products. In a supporting survey, 61% of online U.S. Gen Z respondents ages 14 to 24 said YouTube had helped them discover brands or products they did not previously know about. (blog.youtube)
A separate Google and Kantar study released in 2026 found that video played an especially strong role in discovery. Eighty-seven percent of surveyed YouTube viewers said the platform introduced them to things they would not otherwise have discovered. Respondents also reported using video not only for entertainment, but to learn and find inspiration. (Google)
TikTok describes a similarly compressed path between culture, curiosity and commerce. Ipsos research cited by the company found that 93% of daily TikTok users surveyed said they would use the platform to research products before buying. TikTok also reported significant adoption of TikTok Shop among online shoppers in several European markets. (TikTok Newsroom)
These are platform-sponsored studies and should be interpreted accordingly. YouTube and TikTok both benefit from convincing advertisers that discovery inside their environments has commercial value. But the broader behavioral shift is difficult to dismiss: Consumers increasingly learn what exists, what is credible and what belongs in their lives while consuming content whose primary purpose is not shopping.
The retail journey has not simply become shorter. Its beginning has become harder to observe.
Creators do more than distribute messages
Creator marketing is sometimes treated as another media placement: Find a person with an audience, place a product in front of that audience and measure the resulting traffic or sales.
That understates the creator’s role.
Creators often provide the interpretive layer that conventional advertising lacks. They demonstrate how an item fits into a routine, compare it with alternatives, answer anticipated objections and translate product features into lived experience. Their communities then extend that interpretation through comments, questions, remixes, recommendations and criticism.
In that environment, trust can reduce the friction that ordinarily separates awareness from consideration.
The money following creators reflects that growing role. The Interactive Advertising Bureau estimated that U.S. creator advertising spending reached $37 billion in 2025, an increase of 26% from the prior year and growth substantially faster than the overall media industry. (IAB)
Yet increased spending has not resolved the industry’s measurement problem. The IAB’s subsequent review of creator-economy measurement said creators now influence discovery, trust, commerce and culture at scale, while noting that the infrastructure for consistently measuring that influence remains incomplete. (IAB)
Brands know creators matter. They do not always know precisely how, when or by how much.
That uncertainty can produce two equally damaging reactions. Some organizations over-credit visible creator activity and assume every attributed sale is incremental. Others underinvest because creator influence does not fit neatly into established performance dashboards.
Both errors come from asking a downstream measurement system to explain an upstream behavior.
Attention is not the same as demand
Not every view creates demand. Not every viral moment creates durable commercial value. A consumer can watch, like, comment and move on without ever considering a purchase.
The challenge for marketers is to distinguish among several different outcomes:
- Attention: The content was seen.
- Engagement: The viewer interacted with it.
- Consideration: The product entered a meaningful choice set.
- Demand creation: The exposure increased the likelihood of a future purchase.
- Demand capture: A channel converted demand that already existed.
- Incremental growth: The marketing activity produced an outcome that would not otherwise have occurred.
Platforms tend to provide the clearest evidence for the first two and the transaction systems provide the clearest evidence for demand capture. The middle of that chain is where confidence deteriorates.
Consider a consumer who watches several videos featuring a particular home appliance. Weeks later, she searches for the product category, reads reviews, visits the manufacturer directly and ultimately purchases through a retailer after clicking a branded search ad.
The search campaign may receive credit because it was close to the transaction. The retailer may credit its own media. The creator’s affiliate link may receive nothing because it was never clicked. Yet the consumer may never have searched for the category at all without the earlier entertainment exposure.
This is not an argument that the creator should receive all the credit. It is an argument that the final click cannot tell the full story.
The final click may capture the transaction. It cannot always explain where the demand began.
The measurement gap
Much of digital attribution is optimized for proximity to conversion. That makes it useful for understanding sequences of trackable actions, but vulnerable to confusing correlation with causation.
A customer who clicks a branded search advertisement was already searching for the brand. A loyal shopper exposed to a retail-media ad may have purchased anyway. A high-intent visitor who receives a retargeting impression may convert, but the impression may not be the reason.
Return on ad spend can therefore look impressive while obscuring whether the advertising created new value. WARC has warned that overreliance on attributed ROAS can lead companies to invest too heavily in media that claims existing demand and too little in channels that create it. Its retail-media analysis argues for experimentation and incrementality testing to determine which outcomes would not have occurred without the advertising. (WARC)
The issue is becoming more urgent as commerce media expands. WARC projected global retail-media investment at $196.7 billion in 2026, while noting that a substantial share of agency buyers increasingly views the category as a full-funnel rather than purely conversion-focused channel. (WARC)
NIQ estimated U.S. retail-media spending would reach $107.6 billion in 2026 and argued that advertisers increasingly want proof that those investments produced sales that would not otherwise have happened. (NIQ)
The question is no longer whether a campaign can be connected to a transaction. Modern platforms are extremely good at making that connection.
The harder question is whether the campaign changed the outcome.
What stronger measurement looks like
There is no single metric that will perfectly reconstruct an increasingly fragmented customer journey. Companies need a measurement system in which different methods answer different questions.
Incrementality testing estimates whether an intervention caused additional outcomes. Depending on the circumstances, this may involve randomized holdouts, geographic tests, matched markets, conversion-lift studies or other causal methods.
Marketing-mix modeling evaluates how changes in media investment relate to business outcomes over time while accounting for factors such as pricing, promotions, seasonality and economic conditions. Modern approaches can be more granular and updated more frequently than traditional annual models, although their usefulness still depends on data quality and sound assumptions.
Search and direct-traffic analysis can identify changes in branded demand, repeat visits and durable consumer memory. These signals are imperfect, but they can reveal effects that do not show up in click-based attribution.
Customer and revenue data can connect acquisition activity with qualified opportunities, repeat purchasing, margin, retention and lifetime value. A transaction with poor economics is not necessarily a successful marketing outcome.
Controlled experiments can test whether entertainment, creator or upper-funnel activity changes downstream behavior even when consumers do not click directly from the content.
Google’s recent product development reflects the industry’s attempt to close this gap. Its brand pulse reporting is designed to combine paid and organic activity on YouTube, including creator collaborations and user-generated content, while its commerce-media tools are expanding product-level and online-to-offline measurement. (blog.google)
Those tools may improve visibility, but brands should be cautious about allowing any media platform to serve simultaneously as inventory seller, attribution provider and final judge of effectiveness. Platform reporting is valuable evidence. It is not the same as independent business truth.
From channel performance to business performance
This distinction is central to the work of Nodus, a paid-media and measurement company that focuses on considered purchases and connects marketing activity with commerce, CRM and other business data.
Disclosure: I serve as a fractional business-development and communications leader for Nodus. The company did not pay for, review or exercise editorial control over this article.
Nodus’s stated approach is to integrate paid media with a company’s operational source of truth rather than relying exclusively on platform-attributed results. Its services include paid-media execution, measurement foundations, data integration and investment decisions based on incremental impact and downstream business outcomes. (Nodus)
The relevance to retail’s changing funnel is straightforward: A business cannot understand demand creation if its media data, customer records, sales systems and financial outcomes remain isolated from one another.
The goal should not be to replace platform reporting with a single supposedly perfect alternative. It should be to create a hierarchy of evidence.
A retailer might use platform data to manage campaigns daily, experiments to assess causality, mix modeling to guide budget allocation and financial data to determine whether growth is profitable. Each method has limitations. Together, they provide a more credible account than last-click attribution alone.
The signals that may precede intent
The upstream funnel creates signals that marketing teams should examine without pretending each one is a direct proxy for sales.
| Signal | What it may indicate |
|---|---|
| Entertainment engagement | Early exposure or demand formation |
| Creator trust and repeated viewing | Reduced consideration friction |
| Growth in branded search | Increasing active interest or memory |
| Repeat direct traffic | Durable brand recall |
| Product saves and wish-list activity | Developing consideration |
| Community questions and comparisons | Movement toward evaluation |
| Increased organic product discovery | Broader category relevance |
| Higher-quality new-customer cohorts | More durable acquisition |
| Sales growth in exposed markets | Potential incremental impact requiring validation |
The words “may indicate” matter. None of these signals proves causality by itself.
A rise in branded search could result from creator activity, television, public relations, seasonality or a competitor’s mistake. High engagement could reflect entertainment value without commercial influence. Direct traffic can be misclassified by analytics systems.
The answer is not to dismiss these signals. It is to test them against one another and against actual business results.
Organizational structure may be the bigger obstacle
The new retail funnel is not solely a technical measurement problem. It is also an organizational one.
Entertainment may sit with a brand team. Creators may be managed by social, public relations or a specialist agency. Paid search belongs to performance marketing. Retail media belongs to shopper marketing or ecommerce. Customer data belongs to analytics. Revenue sits with finance.
Each team sees one portion of the journey and is evaluated using its own metrics.
That structure encourages channel advocacy rather than collective learning. The brand team points to reach. The social team points to engagement. The performance team points to ROAS. The retailer points to attributed sales. Finance asks why revenue or margin did not increase at the same rate.
Companies that want to understand where demand begins will need shared definitions, common source data and incentives that do not reward every channel for claiming the same transaction.
They will also need to resist the false comfort of precision. A dashboard displaying a conversion to two decimal places may be less truthful than a well-designed experiment expressed as a range.
What leaders should ask next
The most useful questions are not “Which platform drove the sale?” or “What was the campaign ROAS?”
They are broader:
Where does demand begin in our category?
For some products, it may begin with search. For others, entertainment, community participation, professional recommendation or cultural relevance may shape the decision long before explicit intent appears.
Which channels create demand, and which primarily capture it?
Both functions are valuable. Problems arise when companies judge them using the same time horizon and metric.
Which signals show influence before intent?
Branded search, direct traffic, product saves, community discussion, repeat exposure and organic discovery may provide useful evidence when analyzed carefully.
What would have happened without the investment?
That is the central incrementality question, and one that attributed revenue alone cannot answer.
Are we optimizing toward revenue—or toward profitable, durable business value?
Customer quality, contribution margin, retention, repeat purchase and lifetime value may materially change which media appears effective.
Can our teams see the same version of the customer journey?
If media, commerce, CRM and financial data cannot be reconciled, the organization will continue rewarding whichever platform tells the most persuasive story about itself.
The advantage in 2027
The convergence of entertainment, creators and commerce does not mean every piece of content should become immediately shoppable. Constantly forcing transactions into entertainment environments can weaken the very trust and cultural value that make those environments commercially influential.
The greater opportunity is to understand that commerce may begin without looking like commerce.
By the time a shopper enters a query, visits a product page or clicks an advertisement, the category, brand and preferred option may already be taking shape. The final interaction remains important, but it is often the visible conclusion of an invisible process.
The companies with an advantage in 2027 will not be those that assign the most credit to the last measurable touch.
They will be the ones that learn how demand is formed, how it travels and which investments create business value before the customer ever announces an intention to buy.