Why Circana’s 2026 research marks a shift from creator engagement to measurable business impact before spend
For years, influencer marketing lived in a strange place inside the marketing budget. Everyone knew creators could shape attention, culture, product discovery, and consumer behavior, but many brands still measured the channel like a soft awareness layer. Views, likes, comments, saves, shares, engagement rate, follower count, reach, impressions, and sentiment became the language of creator performance. Useful numbers, but not always business numbers. Circana’s June 2026 research release changes the conversation because it frames influencer marketing through incremental sales, ROI, full-market performance, and media allocation, not only through social engagement. Circana says its report, The Value of Influence, uses advanced marketing mix modeling and proprietary retail data to quantify both short-term sales impact and long-term brand contribution from influencer campaigns.
That matters because the influencer channel has reached a point where “engagement” is no longer enough to defend spend. Creator budgets are growing, creator content is moving deeper into commerce, and marketing leaders increasingly need to justify influencer investment the same way they justify paid search, retail media, connected TV, out-of-home, or traditional digital media. IAB projected U.S. creator ad spend to reach $37 billion in 2025 and $44 billion in 2026, while also reporting that identifying the right creators remains a top challenge for brands.
This is the new pressure point. Influencer marketing is becoming too important to be managed with shallow metrics. If a channel is small, brands can tolerate ambiguity. If a channel becomes a serious line item, ambiguity becomes expensive. Marketing managers need to know whether the creator activity actually created growth that would not have happened otherwise. That is incrementality. It is the difference between sales the brand would have captured anyway and sales the influencer activity helped create.
Circana’s most important finding is not only that influencer marketing can perform. It is that 75% of brands still have significant headroom to increase influencer investment and drive additional growth, according to the company’s report release. That means many brands may be underinvesting in creator activity relative to its measurable business potential. But the opposite lesson is just as important: headroom is not permission to spend blindly. It is permission to scale only when measurement shows where creator investment is actually incremental.
The old influencer report is not strong enough anymore
A traditional influencer report often tells the brand what happened on the platform. The creator posted. The content reached a certain number of people. Engagement came in above or below benchmark. The cost per engagement looked efficient or expensive. The sentiment was positive or mixed. The brand received content assets. Maybe clicks and conversions were tracked through UTM links or affiliate codes. This is useful, but it does not fully answer the finance question: did this creator activity create additional demand?
That is why Circana’s framing is important. By connecting creator activity to measurable sales outcomes and full-market performance, Circana is pushing influencer marketing into a more accountable measurement environment. The release specifically says brands can compare influencer performance against traditional media channels and identify where influencer investment is underutilized or over-indexing.
This is a different kind of conversation. It moves influencer marketing from “Did the post perform?” to “Did this investment deserve more budget than the alternatives?” That is where many influencer workflows are still weak. A creator can generate strong engagement and still fail to create incremental sales. Another creator can generate moderate engagement but influence purchase behavior in a category where buyers need trust, demonstration, or social proof. Without incrementality measurement, both creators may be judged incorrectly.
The problem is not that engagement metrics are useless. The problem is that they are incomplete. Engagement tells the brand that people interacted. Incrementality tells the brand whether the activity changed business outcomes. A serious creator strategy needs both.
Incrementality changes how brands should think about creators
When brands measure influencer marketing by reach, the natural instinct is to choose creators who look large. When brands measure by engagement, the instinct is to choose creators who make people react. But when brands measure by incrementality, the question becomes sharper: which creator produced growth that would not have happened without them?
That question can produce very different decisions. A mega creator may be excellent for awareness but weaker for incremental sales if much of the audience already knows the brand or if the audience is too broad. A micro-creator may generate smaller reach but stronger incremental impact if they reach a more relevant niche with higher trust and more buying intent. A creator in beauty may perform differently from a creator in food, specialty retail, apparel, health, or consumer tech because each category has a different buying journey.
Circana’s release says the report finds small and mid-sized brands often see stronger returns from creator campaigns and that influencer marketing shows especially strong performance in beauty and specialty retail. That is commercially logical. Smaller brands may gain more from creator trust because they have less existing awareness. Beauty and specialty retail often benefit from demonstration, personal endorsement, routine integration, visual proof, and peer-like credibility.
This is where influencer marketing becomes more scientific. The question is no longer whether “influencers work.” The better question is where, for whom, at what spend level, in which category, through which creator type, and against which business objective. A blanket answer is too primitive for the size of the channel.
The next budget fight is not social versus TV. It is incremental growth versus wasted exposure.
Marketers often frame media allocation as a fight between channels: creators versus TV, influencers versus paid search, TikTok versus Meta, retail media versus social, awareness versus performance. But the more mature question is not which channel sounds modern. It is which channel creates incremental growth at the next dollar of spend.
Circana’s report release speaks directly to that by positioning influencer measurement against other media channels. The goal is not to make influencer marketing look good in isolation. The goal is to compare its impact within the full market and understand whether additional investment is justified.
This matters because marketing budgets are not unlimited. If influencer investment increases, the money usually comes from somewhere else. The creator campaign has to compete with paid search, paid social, retail media, shopper marketing, PR, events, affiliate, and traditional media. A marketing manager cannot walk into a budget meeting and say, “The creator got good engagement.” That may satisfy the social team, but it does not satisfy the business.
A stronger argument is: “This creator program produced incremental sales lift, performed efficiently relative to other channels, showed headroom for scale, and revealed which categories or creator types deserve the next budget increase.” That is a boardroom-level influencer argument. That is where the category is moving.
The most dangerous mistake is scaling before proof
The Circana finding that 75% of brands have headroom to increase influencer investment is important, but it can be misunderstood. Some teams will read it as “spend more on influencers.” That is too simple. The better interpretation is: many brands may have room to scale, but only if they can identify where creator investment is underutilized and where returns remain incremental.
Scaling without proof is how influencer budgets get wasted. A brand sees one strong campaign, increases creator spend, adds more creators, expands the content volume, and assumes performance will continue. But incrementality is not guaranteed. The next creators may reach overlapping audiences. The category may saturate. The message may become repetitive. The first campaign may have captured easy demand. The next dollar may perform worse.
This is why headroom must be measured at the margin. The question is not whether influencer marketing worked once. The question is whether more spend will create more incremental growth or simply buy more exposure against people who would have purchased anyway.
That distinction is critical. Influencer marketing has entered the same maturity curve as other media channels. First, the market gets excited. Then budgets rise. Then waste appears. Then measurement catches up. Then the winners are the brands that know where to scale and where to stop.
Small and mid-sized brands may have a structural advantage
Circana’s release says small and mid-sized brands often see stronger returns from creator campaigns. That is one of the most important strategic points in the report because it challenges the assumption that influencer marketing is mainly a large-brand game.
Large legacy brands have awareness. They have retail presence. They have media budgets. They have years of consumer memory. For them, influencer marketing can still be powerful, but incremental gains may be harder to isolate because many consumers already know the brand. A creator may reinforce preference, refresh relevance, or introduce a new product, but the base level of awareness is already high.
A small or mid-sized brand has a different problem. It may have a good product but weak awareness, weak trust, limited shelf recognition, and fewer signals in the market. A strong creator can create the first credible encounter. The creator can explain the product, show how it is used, reduce buyer uncertainty, and make the brand feel less unknown. That can produce stronger incremental impact because the creator is not only reminding people. The creator is opening the door.
This is why smaller brands should not treat influencer marketing as a cheaper version of celebrity advertising. They should treat it as a trust and discovery engine. The right creator can give a smaller brand the kind of credibility that would take much longer to build through brand-owned channels alone.
Beauty and specialty retail show why category logic matters
Influencer marketing does not create value the same way in every category. Beauty and specialty retail are natural strength areas because they are demonstration-heavy, identity-rich, visually driven, and highly dependent on trust. A beauty product often needs proof: shade, texture, skin type, routine fit, before-and-after context, ingredient confidence, and creator credibility. A specialty retail product often needs explanation, styling, use case, social proof, or lifestyle fit.
That is why Circana’s point about beauty and specialty retail matters. These are categories where creators can do something traditional advertising often struggles to do: make the product feel used, tested, contextual, and personally relevant.
A beauty ad can say a product is lightweight. A creator can show whether it pills under makeup. A retail ad can show a jacket on a model. A creator can show how it fits a normal body, how it moves, how it styles with existing clothes, and whether it feels worth the price. A snack ad can show packaging. A creator can show whether a child eats it, whether it works in a lunchbox, or whether it fits a fitness routine.
This is where creator impact becomes incremental. The creator does not just create awareness. The creator reduces uncertainty. Reduced uncertainty can move people closer to purchase. That is a business outcome, not only a social metric.
The content itself is part of the ROI
Influencer marketing ROI is not only a function of who posts. It is also a function of what they post. The creative asset matters. The language matters. The product proof matters. The fit between creator, audience, and category matters. A 2026 Frontiers in Communication study on mega-influencer Instagram captions found that sponsored captions use strategic linguistic and sentiment cues — including first-person pronouns, emojis, hashtags, branded language, positive tone, and emotional intensity — to blend personal narrative with commercial persuasion.
That study is useful because it reminds marketers that influence is not magic. It is built through observable signals. A creator can make a sponsored post feel personal by using first-person language. A creator can increase warmth through emojis. A creator can signal disclosure and campaign identity through hashtags. A creator can make a product feel aspirational through sentiment and tone. These details may seem small, but they shape whether the audience experiences the content as useful recommendation or paid interruption.
This is why incrementality should not be separated from creative diagnosis. If one creator drives sales lift and another does not, the reason may not only be audience size. It may be the story, the hook, the product explanation, the caption, the emotional tone, the use case, the credibility of the endorsement, or the relationship between creator and category.
A serious influencer decision system should analyze the creative signals before the spend, not only after the report.
The new measurement question: what would have happened without the creator?
The core of incrementality is counterfactual thinking. What would have happened if the creator campaign had not run? Would the sales still have happened through existing brand demand? Would paid search have captured the buyer anyway? Would retail promotion have done the work? Would the same people have purchased because they were already loyal? Or did the creator activity create new demand, accelerate demand, or shift preference?
This is the question standard engagement metrics cannot answer. A post can generate clicks from people who were already going to buy. A creator can drive sales during a promotion that would have lifted anyway. A campaign can look strong because it overlaps with seasonality, retail placement, PR, or paid media. Without stronger measurement, the brand may over-credit the creator or under-credit the creator.
Circana’s use of marketing mix modeling and retail data is designed to address that broader context. Marketing mix modeling is valuable because it can estimate the contribution of marketing activity while accounting for other variables in the market, and retail data helps connect media activity to real sales behavior rather than only platform interactions. Circana positions this as a way to quantify short-term sales impact and long-term brand contribution.
For brands, this is the difference between influencer reporting and influencer finance. Reporting tells the team what happened. Finance asks what changed because of the spend.
A practical example: the creator campaign that looks small but is actually incremental
Imagine a mid-sized skincare brand running two campaigns. Campaign A uses a large lifestyle creator with 900,000 followers. The post generates 600,000 views and strong engagement, but the audience is broad. Sales increase during the campaign week, but the brand is also running paid search, retail promotion, and a discount. It is hard to know how much demand the creator actually created.
Campaign B uses five smaller skin-focused creators with audiences between 20,000 and 90,000 followers. The total reach is lower, but the creators explain the product clearly, discuss sensitive skin use cases, show routine integration, and answer comments. Sales lift is smaller in absolute terms, but the incrementality analysis shows more of the lift came from creator activity because the audiences were less saturated and the message reached buyers who were not already in the brand’s purchase path.
The old report may celebrate Campaign A because the top-line numbers look bigger. The incrementality report may recommend scaling parts of Campaign B because the creator spend created more new demand per dollar.
That is the kind of decision marketing teams need. Not the biggest-looking campaign. The most defensible next dollar.
Another example: the large brand that should not scale every creator
Now imagine a major food brand with national distribution, high awareness, and strong retail presence. It launches an influencer program around a new flavor. The campaign generates millions of views, and the social team sees strong content performance. But the sales lift is concentrated in markets where retail promotion and in-store display were already strong. The influencer activity may have helped, but the incremental contribution is smaller than the engagement numbers suggest.
In this case, the right decision is not to stop influencer marketing. The right decision is to refine it. The brand may need creators who reach different audiences, not just broader audiences. It may need creators in markets where the brand is weaker. It may need creator content that explains the new flavor use case instead of simply announcing it. It may need paid amplification only behind the assets that create measurable lift. It may need to stop funding creator posts that create social noise but no incremental demand.
That is the discipline Circana’s framing points toward. Influencer marketing should not be scaled because it is fashionable. It should be scaled where it is underutilized and incremental.
The next report should become a budget reallocation engine
A good influencer report in 2026 should not end with performance screenshots. It should end with a budget decision. Which creators deserve more investment? Which content formats should be reused? Which category or product line showed the strongest incremental lift? Which creator tier performed above its cost? Which audience was overexposed? Which campaign created long-term brand contribution, not only short-term sales? Which spend should be reduced because it was over-indexing without incremental value?
This is what Circana’s work points toward when it talks about helping brands identify where influencer investment is underutilized or over-indexing.
That word — over-indexing — is important. It means influencer marketing can be both underused and overused depending on the brand, category, creator, and spend level. The goal is not to increase creator budgets everywhere. The goal is to put the next dollar where the incremental return is strongest.
This is exactly what many influencer platforms still fail to do. They help brands find creators, manage campaigns, collect content, and report engagement. But the real business value is not in collecting more creator activity. It is in converting creator activity into smarter allocation.
What this means for creator pricing
Incrementality should also change how brands think about creator pricing. Today, many creator prices are still anchored in follower count, reach, engagement, demand, reputation, negotiation power, and agency benchmarks. Those inputs matter, but they do not fully reflect business impact. A creator charging $20,000 may be cheap if they create measurable incremental sales and reusable content. A creator charging $2,000 may be expensive if they create only shallow engagement with no lift.
This is why creator pricing needs proof. The fair price is not just what the creator can command. It is what the brand can defend relative to expected impact. A creator with strong historical incrementality should be priced differently from a creator with only vanity metrics. A creator whose content repeatedly performs in paid amplification should be valued differently from one whose posts die after organic distribution. A creator who helps a smaller brand enter a new audience may deserve a different price than one who only reinforces existing awareness.
This does not mean every creator relationship should become purely performance-based. Some creators create brand equity, cultural relevance, authority, trust, or content assets that do not convert immediately. But even those contributions need a clearer logic. Brands should know what they are paying for and how they will evaluate it.
Incrementality does not remove creativity. It makes creativity more accountable.
Where Flonci fits
Flonci is being built for the exact gap that Circana’s research makes visible. Influencer marketing is moving from engagement reporting to business impact measurement, but most brand decisions still happen before that measurement exists. The brand has to choose the creator, accept the price, approve the content, and commit the budget before it sees whether the campaign was incremental.
That is why the decision layer matters. A brand needs better signals before spend: creator fit, organic performance, pricing fairness, audience relevance, category match, content quality, caption strength, historical proof, paid amplification readiness, and campaign role. The post-campaign measurement can show what happened. But the pre-spend decision system should reduce the chance that money goes to the wrong creator in the first place.
Circana’s research supports the broader market shift: brands want influencer accountability beyond engagement metrics, and they want to connect creator activity to measurable sales outcomes and full-market impact. Flonci’s role is not to replace that kind of measurement. It is to sit earlier in the workflow and help marketing teams decide what deserves to be measured, tested, scaled, or rejected before the budget is gone.
This is the difference between reporting and protection. Reporting explains the past. Decision protection improves the next spend decision.
Conclusion: influence is becoming a finance question
The creator economy is no longer a small experimental channel. It is a major media environment, a product discovery layer, a cultural engine, and increasingly a measurable driver of commercial outcomes. That is why the conversation is moving from engagement to incrementality. Brands do not only need to know whether people reacted to creator content. They need to know whether creator content created business growth that would not have happened otherwise.
Circana’s 2026 research is important because it gives the market a more serious language: incremental sales lift, ROI, marketing mix modeling, retail data, short-term impact, long-term contribution, underutilized investment, over-indexing, category strength, and headroom to scale. That is the language influencer marketing needs if it wants to compete for serious budget.
But the final lesson is not simply “spend more on influencers.” The better lesson is: spend more only where the evidence supports it. Scale the creators who create incremental growth. Stop overpaying for shallow visibility. Compare creator performance against other channels. Treat creator pricing as a business decision. Use campaign reports to reallocate budget, not just celebrate content.
Influencer marketing is growing up.
The next stage will not be won by brands with the largest creator lists.
It will be won by brands with the strongest evidence before spend and the clearest proof after spend.
That is the direction Flonci is building toward.
Know before spend.
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