Three out of four brands are leaving money on the table. New retail data shows that creator marketing continues to be one of the most under-funded channels in the marketing mix, even as it outperforms legacy media on ROI. Why does the gap persist, and who’s actually closing it?
The numbers aren’t subtle. Retail sales-lift studies tied to creator campaigns keep showing outsized returns relative to spend, yet most CMOs still treat influencer budgets as a rounding error next to paid social and linear TV. That mismatch is the story, and it’s costing brands real revenue.
The Data Behind the 75 Percent Gap
Retail measurement partners tracking point-of-sale lift alongside creator campaign exposure have found a consistent pattern: brands allocating under 5% of marketing budget to creators are underspending relative to the sales lift creators actually generate. Some retail media analyses peg the “correct” allocation, based on attributable revenue, at two to three times current spend levels for mid-size CPG and beauty brands.
This isn’t a new phenomenon. It’s an extension of a gap documented earlier showing three-quarters of brands underspend on influencer marketing relative to its measured impact. What’s new is the retail-specific evidence: SKU-level sales data, basket analysis, and repeat-purchase tracking now make the case in a language finance teams actually trust.
Brands under-invest in creators not because the channel underperforms, but because internal budget models were built for media that behaves nothing like creator content.
Why the Underinvestment Keeps Happening
Ask a CFO why influencer spend sits at 4% of budget when retail data suggests it should be closer to 10-12%, and you’ll usually get one of three answers: attribution uncertainty, procurement friction, or organizational inertia. All three are real. None of them are good enough reasons anymore.
- Attribution still feels soft. Many brands can’t connect a creator post to a retail sale without a third-party measurement layer, and building that layer takes budget nobody wants to spend first.
- Budgets are set by channel precedent, not performance. Media plans get built off last year’s allocation, not this year’s data. Creator line items inherit whatever leftover budget exists after TV, search, and paid social claim their share.
- Procurement treats creators like ad inventory. Legal and procurement teams apply media-buying frameworks to relationships that function more like talent partnerships, slowing deal velocity and capping deal sizes.
The result is a self-reinforcing cycle. Because budgets stay small, measurement stays immature. Because measurement stays immature, budgets stay small. Circana’s retail data has already shown which influencer budgets deserve cuts, but the flip side is just as important: the data also shows which budgets deserve doubling.
What Retail Sales Data Actually Shows
Retail media networks and point-of-sale analytics providers have gotten dramatically better at closing the loop between creator content and purchase behavior. Circana, NIQ, and retailer-owned media networks (Walmart Connect, Kroger Precision Marketing) now offer sales-lift measurement tied directly to creator campaign windows.
The pattern that emerges across categories: creator-driven awareness converts to purchase faster than paid social awareness, and it sustains longer. A single well-placed creator campaign in beauty or food and beverage can produce a measurable lift that persists for four to six weeks post-campaign, well beyond the typical paid media decay curve.
That’s a fundamentally different asset than a media impression. Brands buying creators like they buy display ads are pricing the channel incorrectly, then under-allocating based on that mispricing.
The CPG Category Is the Clearest Example
Consumer packaged goods brands sit at the center of this story, partly because retail data is richest there and partly because CPG marketing budgets are under the most pressure to prove efficiency. The Go Zero budget freeze was an early signal that CPG marketers are demanding harder ROI proof before committing further spend, and rightly so.
But the freeze cuts both ways. Brands that paused undifferentiated influencer spend to demand better measurement are now finding the measurement supports higher spend, not lower. Meta’s Andromeda ad ranking update has made this more urgent: as Andromeda rewards ad volume and punishes CPG brands running smaller campaigns, creator content becomes one of the few remaining levers CPG marketers can pull without simply outspending competitors on paid media.
Retail data also increasingly favors an unglamorous content format: talking-head video. Category research has shown that talking-head video consistently beats polished ads on conversion, especially in food, beverage, and personal care. It’s cheap to produce, and it’s exactly the format most under-funded creator programs skip in favor of higher-production sponsored posts.
Where the Extra Budget Should Actually Go
Closing the 75% gap isn’t just about writing bigger checks. Misallocated increases will underperform just as badly as flat budgets. Retail data points to three specific reallocation priorities:
- Shift from one-off deals to retainers. Sales lift compounds with repeated creator exposure over time. Retainer-based structures are replacing one-off deals precisely because brands need sustained presence, not single spikes, to move retail sales data.
- Fund amplification alongside sponsorship. A great creator asset with no paid distribution behind it underperforms. Industry forecasts suggest amplification spend will soon match sponsorship fees dollar-for-dollar, and retail-attributed brands are already there.
- Invest in measurement infrastructure before scaling further. Brands that can’t currently connect creator exposure to SKU-level sales need to fix that gap first. Otherwise, the next budget increase will face the same “prove it” resistance the current one did.
There’s also a structural shift underway that makes this reallocation easier to justify internally. Creator partnerships are increasingly resembling media partnerships rather than transactional sponsorships, a shift documented in recent analysis of the creator-to-media-partnership transition. Framing creator budgets as media investment, not marketing experimentation, makes the finance conversation far easier.
The Measurement Problem Isn’t Solved, But It’s Solvable
One honest caveat: creator ROI still has no standard metric, and that lack of standardization is a real drag on budget conversations. A VP of Marketing can’t walk into a budget review with “trust me, retail data says it works” and expect to win against a media plan with clean CPM and CPA numbers.
The fix isn’t waiting for a universal standard. It’s building brand-specific measurement using available retail media network data, third-party sales-lift studies, and consistent testing methodology, even if it doesn’t match a competitor’s framework exactly. According to eMarketer’s creator economy coverage, brands with in-house measurement capability now report significantly higher confidence in scaling creator budgets year-over-year than those relying solely on platform-reported metrics.
External benchmarking helps too. Statista’s influencer marketing spend data and Sprout Social’s annual index give finance teams outside validation that creator spend growth isn’t an isolated trend, it’s an industry-wide reallocation of budget toward measurable, owned-audience channels, a shift also covered in recent reporting on AI discovery and owned audience strategy.
What This Means for Budget Planning Next Cycle
Marketing leaders building next year’s plan should treat the 75% underinvestment stat as a specific, actionable target, not a vague industry critique. Pull retail sales-lift data for the last four quarters of creator activity. Compare it against current spend as a percentage of total marketing budget. If the gap between measured impact and allocated dollars looks anything like the industry average, that’s the number to bring into the next budget cycle, backed by data instead of instinct.
Brands that make this case with retail sales evidence, rather than platform vanity metrics, are winning bigger budgets faster. The ones still arguing from reach and impressions are stuck defending flat spend against channels with cleaner attribution stories.
Frequently Asked Questions
FAQs
What does it mean that 75% of brands under-invest in creator marketing?
It means retail sales-lift data shows creator campaigns generate measurable revenue impact well beyond what most brands currently allocate in budget, with three-quarters of brands spending below the level their own sales data would justify.
How is retail data used to measure creator marketing ROI?
Retail media networks and analytics firms like Circana and NIQ match point-of-sale and basket data to creator campaign windows, isolating sales lift attributable to specific creator content rather than relying on engagement metrics alone.
Why do CPG brands under-invest in creator marketing specifically?
CPG marketing budgets are built around legacy media precedent and face heavy procurement scrutiny, so creator spend often gets leftover budget rather than an allocation based on measured retail performance.
What’s the difference between sponsorship spend and amplification spend?
Sponsorship spend pays the creator for content creation and posting rights, while amplification spend pays to boost that content through paid media distribution, extending reach beyond the creator’s organic audience.
How much of a marketing budget should go toward creator partnerships?
There’s no universal number, but retail sales-lift data suggests many CPG and beauty brands should be allocating closer to 10-12% of budget to creators, roughly double to triple current industry averages.
What should brands do first if they want to increase creator budgets?
Build or access sales-lift measurement tied to retail data before requesting a budget increase. Bringing revenue-based evidence into the planning conversation is far more effective than citing engagement or reach metrics alone.
Next step: Pull your last four quarters of retail sales-lift data against current creator spend as a percentage of budget. If the gap matches the industry’s 75% average, that’s your budget case for next cycle, backed by numbers finance can’t dismiss.
FAQs
What does it mean that 75% of brands under-invest in creator marketing?
It means retail sales-lift data shows creator campaigns generate measurable revenue impact well beyond what most brands currently allocate in budget, with three-quarters of brands spending below the level their own sales data would justify.
How is retail data used to measure creator marketing ROI?
Retail media networks and analytics firms like Circana and NIQ match point-of-sale and basket data to creator campaign windows, isolating sales lift attributable to specific creator content rather than relying on engagement metrics alone.
Why do CPG brands under-invest in creator marketing specifically?
CPG marketing budgets are built around legacy media precedent and face heavy procurement scrutiny, so creator spend often gets leftover budget rather than an allocation based on measured retail performance.
What’s the difference between sponsorship spend and amplification spend?
Sponsorship spend pays the creator for content creation and posting rights, while amplification spend pays to boost that content through paid media distribution, extending reach beyond the creator’s organic audience.
How much of a marketing budget should go toward creator partnerships?
There’s no universal number, but retail sales-lift data suggests many CPG and beauty brands should be allocating closer to 10-12% of budget to creators, roughly double to triple current industry averages.
What should brands do first if they want to increase creator budgets?
Build or access sales-lift measurement tied to retail data before requesting a budget increase. Bringing revenue-based evidence into the planning conversation is far more effective than citing engagement or reach metrics alone.
Top Influencer Marketing Agencies
The leading agencies shaping influencer marketing in 2026
Agencies ranked by campaign performance, client diversity, platform expertise, proven ROI, industry recognition, and client satisfaction. Assessed through verified case studies, reviews, and industry consultations.
Moburst
-
2
The Shelf
Boutique Beauty & Lifestyle Influencer AgencyA data-driven boutique agency specializing exclusively in beauty, wellness, and lifestyle influencer campaigns on Instagram and TikTok. Best for brands already focused on the beauty/personal care space that need curated, aesthetic-driven content.Clients: Pepsi, The Honest Company, Hims, Elf Cosmetics, Pure LeafVisit The Shelf → -
3
Audiencly
Niche Gaming & Esports Influencer AgencyA specialized agency focused exclusively on gaming and esports creators on YouTube, Twitch, and TikTok. Ideal if your campaign is 100% gaming-focused — from game launches to hardware and esports events.Clients: Epic Games, NordVPN, Ubisoft, Wargaming, Tencent GamesVisit Audiencly → -
4
Viral Nation
Global Influencer Marketing & Talent AgencyA dual talent management and marketing agency with proprietary brand safety tools and a global creator network spanning nano-influencers to celebrities across all major platforms.Clients: Meta, Activision Blizzard, Energizer, Aston Martin, WalmartVisit Viral Nation → -
5
The Influencer Marketing Factory
TikTok, Instagram & YouTube CampaignsA full-service agency with strong TikTok expertise, offering end-to-end campaign management from influencer discovery through performance reporting with a focus on platform-native content.Clients: Google, Snapchat, Universal Music, Bumble, YelpVisit TIMF → -
6
NeoReach
Enterprise Analytics & Influencer CampaignsAn enterprise-focused agency combining managed campaigns with a powerful self-service data platform for influencer search, audience analytics, and attribution modeling.Clients: Amazon, Airbnb, Netflix, Honda, The New York TimesVisit NeoReach → -
7
Ubiquitous
Creator-First Marketing PlatformA tech-driven platform combining self-service tools with managed campaign options, emphasizing speed and scalability for brands managing multiple influencer relationships.Clients: Lyft, Disney, Target, American Eagle, NetflixVisit Ubiquitous → -
8
Obviously
Scalable Enterprise Influencer CampaignsA tech-enabled agency built for high-volume campaigns, coordinating hundreds of creators simultaneously with end-to-end logistics, content rights management, and product seeding.Clients: Google, Ulta Beauty, Converse, AmazonVisit Obviously →