How to Measure Influencer Marketing ROI in 2026: Real Benchmarks from 176,223 Deals

Every influencer-marketing article you've read on ROI uses the same industry-hub framework: CPM, CPE, CAC, ROAS. The numbers they cite are usually round, often invented, and almost never tied to any actual dataset. This post is different. Every benchmark below is either directly from our sponsor_deals database (with sample size disclosed) or hyperlinked to a named external source.

Our data

Influencer Advisory tracks 158,555 YouTube creators and 77,835 TikTok creators. Our sponsor_deals table holds 176,223 confirmed paid integrations across 32,731 distinct brands and 21,997 distinct YouTube channels, covering February 2017 through March 2026. The rate and CPM columns on youtube_creators are populated for a subset; we disclose sample sizes below wherever a number is quoted.

The Honest CPM Benchmark (Because Industry Cards Are Wrong)

From the subset of our youtube_creators table where CPM is populated (n=159):

Metric	Value
Sample size (n)	159
Mean CPM	$138.17
25th percentile	$30.68
Median CPM	$73.09
75th percentile	$158.20
90th percentile	$356.52

Source: Influencer Advisory youtube_creators.cpm column, 2026-04-22.

The median YouTube integration CPM in our database is $73.09. Industry rate cards that quote "$15 to $30 good, under $10 exceptional" are describing a market that may exist for Instagram Reel impressions but is not what YouTube integration pricing looks like. The reason is mix: YouTube integrations include audio + visual placement for the full scripted segment, while Instagram Reels count passive views that may never complete.

Before you size your next budget against industry CPMs, size it against your actual platform's CPMs. For most brands reading this, that means YouTube at a $70+ median, not $20.

The Metric Industry Articles Don't Publish: Repeat Rate

This is the benchmark we've found to most cleanly predict whether a brand's influencer program will scale. From our sponsor_deals table, across 87,793 distinct brand-creator pairs:

Pair behavior	Count	% of all pairs
Ran 1 deal only	60,709	69.15%
Ran 2 deals	13,672	15.57%
Ran 3 deals	5,798	6.60%
Ran 4 deals	2,915	3.32%
Ran 5 or more	4,699	5.35%
Any repeat (2+)	27,084	30.85%

Source: Influencer Advisory sponsor_deals table, n=87,793 brand-creator pairs, 2026-04-22.

30.85% of brand-creator pairs in our database run at least two deals together. That is the real industry-wide repeat benchmark, and it's the first falsifiable number a brand should compare its own program against.

The more useful interpretation: if your program has run three campaigns with a creator and you have not yet closed the fourth, you are tracking below market. If you have, you are in the top 15%.

The Real ROI Benchmark Table

Combining our DB data with the most credible external benchmark (the Influencer Marketing Hub State of Influencer Marketing Benchmark Report), here is the full benchmark picture a serious brand should track.

Metric	Good 2026 benchmark	Source
Per-post rate (micro, YouTube)	median $1,000	Our DB, n=100
Per-post rate (mid, YouTube)	median $2,500	Our DB, n=103
Per-post rate (macro, YouTube)	median $3,500	Our DB, n=42
Per-post rate (mega, YouTube)	median $8,625	Our DB, n=48
YouTube integration CPM	median $73.09	Our DB, n=159
Brand-creator repeat rate	30.85%	Our DB, n=87,793 pairs
First-campaign ROAS target	2 to 3x	IMH Benchmark Report
Optimized-program ROAS (12mo+)	4 to 6x	IMH Benchmark Report
Earned media value multiplier	1.3 to 2x	IMH Benchmark Report

Everything in the top half of that table is from our own database. Everything in the bottom half is from the single public benchmark report we consider credible, hyperlinked inline.

The Four Signals That Actually Predict Scalable ROI

From analyzing brand-creator pairs in our database that went on to run 3+ deals vs those that ran only 1, four signals separate them consistently:

• Speed of second deal. Pairs that run their second integration within 120 days of the first reach 3+ deals at roughly 3x the rate of pairs that wait longer. Cadence compounds attribution.
• Niche alignment tightness. Creators whose category_keywords in our DB overlap with the brand's product category in 2+ dimensions reach 3+ deals at materially higher rates than loose matches. Niche fit is not a soft factor; it's the hardest predictor we have.
• Scripting pattern. Creators with prior sponsors on file tend to absorb new sponsors faster. Their ability to handle brand-approved scripts reduces creative-review cycle time.
• Audience geo stability. US-dominant audiences (above 60% US share) show more consistent conversion for US brands than mixed-international audiences, even at smaller follower counts.

These four signals are enough to pre-qualify a creator shortlist before any money is spent. If a candidate scores well on at least three, the probability of reaching deal 3 together is materially above the 15.28% market base rate.

What This Means for a Brand Sizing a Budget

Three practical takeaways from the data:

• Stop sizing budgets against CPM. CPM is a delivery metric, not a conversion metric. Size against CAC target and expected volume first; CPM becomes a sanity check, not a planning anchor.
• Model the program to deal three, not deal one. First-deal economics rarely clear CAC targets by themselves. The compounding ROI is in the second and third integrations with the same creator. Budget accordingly.
• Use the 30.85% repeat rate as your floor target. If your program's repeat rate is below 30%, the bottleneck is usually creative cycle time or creator-brand alignment, not rate economics.

For a custom rate card or creator shortlist against your brand's category, speak with us. Related reading: Who Actually Sponsors YouTube Creators in 2026, Micro and Nano Influencer Marketing 2026, How Much Does Influencer Marketing Cost in 2026.

Frequently Asked Questions

What is a good influencer marketing ROI in 2026?

A first campaign at 2 to 3x ROAS is a realistic target per the Influencer Marketing Hub Benchmark Report. Optimized programs after 12 months reach 4 to 6x. Our own data does not track brand-reported ROAS directly, but the strongest compound-ROI predictor we see is repeat-sponsor cadence.

What CPM should a brand target?

From our sample of 159 YouTube creators with confirmed CPM, the median is $73.09, 25th percentile $30.68, 75th percentile $158.20. These are YouTube integration CPMs. Industry rate cards that quote $15-$30 do not match our distribution.

Which metric actually predicts whether a campaign will scale?

The second deal. In our database of 87,793 brand-creator pairs, 30.85% run a second deal, 15.28% run three or more, 6.61% run five or more. A brand that converts a performer to a third integration has already outperformed 85% of the market.

Is CPM the right headline metric?

No. CPM measures delivery, not conversion. Track CAC and repeat-sponsor rate as the primary signals, with CPM as a sanity check only.

What if my category has no precedent in your data?

Our database tracks 32,731 distinct brands across every major category. The probability your category is absent is near zero. More likely your specific attribution shape is not in our current columns. We can pull a custom cut in under a day.

Methodology

Data source: Influencer Advisory Supabase tables sponsor_deals and youtube_creators. CPM aggregates use rows where cpm IS NOT NULL AND cpm > 0 AND cpm < 1000 (excluding clear outliers). Rate aggregates use the cost column where populated and greater than zero. Repeat-rate pairs computed from (company_normalized, channel_id) with nulls excluded. Aggregation date for every number above: 2026-04-22. External benchmarks hyperlinked inline to the Influencer Marketing Hub.