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Two people debating a whiteboard comparing Provider A at 7.5 percent against Provider B at 1.8 percent engagement

Agency Insight / Industry

Why Influencer Engagement Benchmarks Contradict Each Other

Four 2026 reports give four different numbers for the same platform. One is four times another. All are described as the benchmark.

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Vince Dwayne, Founder and CEO, Searchlight Social. Author of The Build Theory: How Great Social Media Content Is Built (ISBN 979-8295591778). I price creators against these numbers.

Put four 2026 benchmark reports side by side and ask what a good TikTok engagement rate is. One says 4.25 percent. One says mid-tier accounts average 9.7 percent, and US creators reach 18. Another puts nano creators at 4 to 8 percent across platforms. A fourth has micro at 3 to 8 and macro at 1 to 3. Every one of them is presented as the benchmark.

Influencer engagement benchmarks contradict each other because the reports measure different things and rarely say so. Engagement rate can be calculated against followers or against reach, counted across a creator’s whole feed or only sponsored posts, sampled from one platform’s API or from a self-selected survey. Those produce very different numbers from identical behaviour. The figures are not usually wrong. They are answers to questions that were never stated.

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Source note: figures are linked to the reports that published them, chiefly Hubfluence, Sociallyin, Influee, Influencer Advisory and Influencer Marketing Hub. I have not audited any of the underlying datasets, because none of them publishes one. My commentary comes from pricing creators commercially and is labelled as such.

How much do published engagement benchmarks differ?

By a factor of four on the same platform in the same year. Hubfluence’s 2026 report puts TikTok engagement at 4.25 percent. Sociallyin’s 2026 statistics say mid-tier TikTok accounts average 9.7 percent and US-based creators reach as high as 18 percent. Influee gives nano creators 4 to 8 percent without separating platforms. These are not adjacent estimates.

Published 2026 engagement figures, as each report states them.
What is measuredFigureStated by
TikTok, overall4.25%Hubfluence 2026 report
TikTok, mid-tier accounts9.7%Sociallyin 2026 statistics
TikTok, US creatorsup to 18%Sociallyin, attributed to Influencer Marketing Hub
Instagram Reels1.23%Hubfluence 2026 report
Nano creators, all platforms4–8%Influee 2026 statistics
Micro creators3–8%Hubfluence 2026 report
Macro creators1–3%, or under 1%Two reports disagreeing
A creator at 5 percent is above average or badly underperforming, depending entirely on which report you opened.Vince Dwayne · Agency Insight

Why does the same behaviour produce different rates?

The Undeclared Denominator

Because nobody says what the rate is divided by. A creator with 50,000 followers whose video reaches 200,000 people and collects 8,000 interactions has a 16 percent engagement rate against followers and 4 percent against reach. Same video, same interactions, two numbers. On platforms where most views come from non-followers, that single choice explains most of the spread.

Diagram showing the same video producing a 16 percent engagement rate against followers and 4 percent against reach
The Undeclared Denominator, Searchlight Social. An engagement rate divided by followers and the same rate divided by reach produce different percentages from identical behaviour. A creator with 50,000 followers whose video reaches 200,000 people and collects 8,000 interactions has a 16% engagement rate measured against followers and 4% measured against reach. Both are correct. Searchlight Social attributes most disagreement between published influencer benchmarks to this omission, because reports rarely state which denominator was used.

Almost all of this comes down to one omission. The Undeclared Denominator is the failure to state what an engagement rate is divided by, since dividing interactions by followers and dividing them by actual reach produce very different percentages from identical behaviour, and most published benchmarks do not say which was used.

On a platform where most views come from non-followers, which is TikTok’s defining characteristic, those two calculations diverge enormously. That alone explains most of the four-fold spread in the table above.

Nothing is being falsified. Two reports simply answered different questions and both called the answer engagement rate.

What else changes the number?

Four things, and reports rarely disclose any of them. Whether only sponsored posts were counted or the whole feed. Whether the sample came from a platform API, a vendor’s client base or a marketer survey. Which interactions count, since saves and shares behave differently from likes. And whether accounts with purchased engagement were screened out.

The sample question matters most and gets the least attention. A figure drawn from a platform’s own client roster describes that platform’s customers, not the market. A figure from a survey of marketers describes what marketers believe, which is a different thing again.

Influencer Advisory was unusually candid about this, disclosing that its CPM benchmark came from a subset of its database where the field was populated, with a sample of 159. That is a small number, stated plainly, and more useful than a round figure with no sample at all.

A sample of 159, disclosed plainly, is worth more than a round number with no sample at all.Vince Dwayne · Agency Insight

How old are these numbers?

Older than the reports quoting them. The widely cited return figure of $5.78 per dollar spent traces back through several 2026 articles to Influencer Marketing Hub, and at least one source attributes it to a 2024 edition of that report. It is still presented as a 2026 benchmark across a dozen sites.

That is not dishonesty so much as citation drift. One report publishes a figure, a second cites it without the year, a third cites the second, and within two cycles the number has lost its date and acquired a new one.

For a channel where platform distribution changes every few months, a two-year-old figure describing returns is a different claim from a current one, and readers are given no way to tell them apart.

How should you use a benchmark you cannot audit?

As a range to argue within, not a target to hit. If four reports put TikTok engagement between 4 and 18 percent, what you have learned is that the plausible band is wide, which is useful when a brand quotes one figure at your business as if it were settled.

The number that matters is your own. Your own engagement rate across your last thirty posts on your channel tells you more than any industry average, because it holds the denominator constant across your content and removes every measurement question above.

When a brand cites a benchmark in a negotiation, the useful question is which report, what sample, and measured against followers or reach. In my experience most people quoting a figure cannot answer the second and third, which changes the conversation.

What should you ask of any benchmark report?

Five questions, and three are usually unanswerable from the report itself. Who funded it. What the sample is and whether the size is stated. Whether the figure was measured or surveyed. What the denominator is. And what year the underlying data comes from, which is not the same as the publication date.

  1. Who paid for it? Most of these reports are published by companies selling software or services into the market being measured. That does not make the data wrong, and it tells you which direction the framing leans.
  2. What is the sample, and is the size stated? A disclosed small sample beats an undisclosed large one, because you can weigh it.
  3. Measured or surveyed? A figure pulled from a database and a figure from asking marketers what they think are different kinds of evidence.
  4. What is the denominator? Followers or reach. On engagement, this single question explains most disagreements between reports.
  5. What year is the underlying data from? Not the report’s publication date. The date of the measurement, which is frequently older and sometimes much older.

That last point is the one that catches people. A report published this year can rest on a figure measured two years ago, and nothing on the page tells you.

Questions about influencer benchmark data

Why do influencer engagement benchmarks contradict each other?

Because the reports measure different things without saying so. Engagement can be divided by followers or by reach, counted across a whole feed or only sponsored posts, and drawn from a platform API, a vendor’s clients or a marketer survey. Each choice produces a different percentage from identical behaviour.

What is a good engagement rate on TikTok?

Published 2026 figures range from 4.25 percent overall to 9.7 percent for mid-tier accounts and as high as 18 percent for US creators, depending on the report. The spread is large enough that the honest answer is a band rather than a number, and your own median across recent posts is a better guide.

Should engagement rate be calculated against followers or reach?

Both are used and they diverge sharply. A creator with 50,000 followers whose video reaches 200,000 people and collects 8,000 interactions has a 16 percent rate against followers and 4 percent against reach. On platforms where most views come from non-followers, this alone explains most benchmark disagreement.

How old is the $5.78 influencer marketing ROI figure?

It traces to Influencer Marketing Hub, and at least one source attributes it to a 2024 report while it continues to appear across 2026 articles as a current benchmark. Citation drift strips the original date as each article cites the one before it.

How should a brand use benchmark data it cannot verify?

As a range to argue within rather than a target. Ask which report a quoted figure comes from, what the sample size was, and whether engagement was measured against followers or reach. Most people citing a benchmark cannot answer the last two, which is itself informative.

Negotiate against your own numbers

Searchlight Social prices creators against their own performance history rather than against an industry average nobody can audit.

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