Creator marketing statistics that survive a check
Every figure here names its source in the same row. Where we could not trace a number to a real dataset we left it out and said so, including several that circulate widely. Free to quote with attribution.
The short version. Creator marketing is far cheaper than its own marketing suggests: most individual collaborations settle under three hundred US dollars. It is also far more concentrated than it looks, with the top tenth of creators taking around three fifths of all money paid. Engagement is highest at the smallest tier and bottoms out in the middle, not at the top. And the biggest operational risk is not fraud, it is payment: roughly two in five creators report being paid late or not at all.
What creators actually get paid
| Measure | Figure | Source |
|---|---|---|
| Average price a creator lists for an Instagram post | US$214 | Collabstr 2026 report, across 21,000+ collaborations |
| Average price actually paid for an Instagram post, after negotiation | US$193 | Same dataset |
| Share of all collaborations settling under US$300 | about 80% | Same dataset |
| Average price paid for an Instagram Reel | US$288 | Same dataset |
| Average price paid for a TikTok video | US$217 | Same dataset |
| Median paid per deliverable, nano tier | US$134 | OpenSponsorship, 146 campaigns |
| Median paid per deliverable, micro tier | US$150 | OpenSponsorship, 349 campaigns |
| Median paid per deliverable, mid tier | US$417 | OpenSponsorship |
| Share of UGC-specific costs under US$500 | about 80% | CreatorIQ 2025, 14,400 paid creators |
How concentrated creator income is
| Measure | Figure | Source |
|---|---|---|
| Average annual creator earnings on one major platform | US$11,400 | CreatorIQ 2025, 14,400 creators actually paid |
| Median annual creator earnings, same dataset | US$3,000 | The gap between mean and median is the whole story |
| Share of all creator payments going to the top 10% of creators | 62% | CreatorIQ 2025 |
| Share going to the top 1% | 21% | CreatorIQ 2025 |
| Year-on-year growth in total creator payments | +59% | CreatorIQ 2025 |
| Year-on-year growth in the number of creators | +183% | Supply is outrunning demand roughly three to one |
Engagement, by tier
| Measure | Figure | Source |
|---|---|---|
| Median TikTok engagement rate, nano creators | 4.41% | 2026 Creator Benchmark Report, 3,125 creators over 12 months |
| Median Instagram engagement rate, nano creators | 2.66% | Same dataset |
| Median TikTok engagement rate, 100k to 500k followers | 1.57% | Same dataset |
| Median Instagram engagement rate, 100k to 500k followers | 1.27% | Same dataset |
| Where engagement bottoms out | the mid tier, not the top | Mega accounts score slightly above 100k-500k on both platforms |
What goes wrong
| Measure | Figure | Source |
|---|---|---|
| Creators experiencing late or missing payment for sponsored work | about 40% | Lumanu Creator Payments Report 2025 |
| Creators never paid at all for at least one completed sponsorship | about 10% | Same report |
| Share of reported fraud and quality issues that are fake or bot followers | 56.5% | Influencer Marketing Hub 2026 benchmark report |
| Marketers citing rising creator costs as their single biggest challenge | 35.4% | Same report, the largest single category |
| Instagram creators with no activity in the previous 30 days | 44.1% | Click Analytic, scan of 5.9M Instagram accounts |
| Instagram creators with a contact email listed | 39% | Same scan |
| US Instagram creators with both 90%+ authentic followers and 2%+ engagement | 0.47% | Same scan. The most useful single number on this page |
How brands are organised
| Measure | Figure | Source |
|---|---|---|
| Brands managing influencer marketing entirely in-house | 66.33% | Influencer Marketing Hub 2026 benchmark report |
| The function most often outsourced to an agency | creator discovery and vetting | Ahead of content production and talent management |
| Brands using an agency only | 10.71% | Same report |
What we left out, and why
These figures appear constantly in articles about this industry. We could not stand behind any of them.
- "37.2% of followers are fake". Traces to a vendor blog with no stated methodology and no identifiable research body behind it.
- "$4.6 billion wasted on influencer fraud". Derived arithmetically from the 37.2% figure above, so it inherits the same problem.
- "1 in 3 brands paid an AI persona". Same source family. We could not find an underlying study.
- Any Canada-specific rate dataset. We looked and could not find one. Every transaction figure on this page is United States weighted. Canadian rates are widely assumed to sit at or slightly below US levels, and we have not been able to verify that.
Method, and how to use this
Figures marked as reported come from the named organisation's own published dataset. Several of those datasets sit behind a form or a bot block, so we reached them through secondary reporting rather than the original document, and we would rather say that than imply a direct read. Nothing on this page is our own data, because we do not yet have a dataset large enough to be worth publishing. When we do, it will be labelled as ours and the sample size will be on the page.
Two cautions if you are citing these. Almost everything here is United States weighted, so applying it directly to a Canadian campaign carries an assumption you should state. And engagement benchmarks move quickly as platforms change distribution, so a figure more than about a year old is a direction rather than a number.
Last reviewed 2026-09-11. Corrections to info@fourcents.ca.
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