Fake follower checker
Paste in an account’s public numbers and get an authenticity score out of 100, an estimate of how many followers are real, and what that means for the fee.
Result
Enter the follower count and average likes (or average views on YouTube), then press Check authenticity.
Numbers changed — press Check authenticity again.
Authenticity score
Signals
This is a screen based on public numbers, not proof. Before you pay, ask the creator for a screenshot of their audience insights (top countries, age and accounts reached).
Runs in your browser. Nothing you type is sent anywhere or saved on our side.
How the authenticity score is worked out
We run up to eight checks. Each one scores from 0 (looks bought) to 1 (looks organic) and has a weight. The score is the weighted average of the checks you gave us data for, × 100, rounded and capped at 97 — public numbers can never prove an audience is 100% real. A check you leave blank is switched off, never guessed. Between two thresholds below, the score moves in a straight line.
- Engagement vs size (22). Engagement = (likes + comments) ÷ followers, compared with the typical rate for the account’s size (table below). Full marks at 80% of typical or more, zero at 25% or less. Above the ceiling (2.25× typical) the score drops by half of every multiple over the ceiling, never below 0.5. On YouTube it is views instead: average views ÷ the views a channel that size usually gets — full marks at 60% or more, zero at 15% or less.
- Growth spikes (18). Biggest single day ÷ (30-day gain ÷ 30). Full marks up to 5×, falling to 0.3 at 15× or more (a viral post can do this, so it never hits zero). No big day at all scores 1. A big day inside a flat or shrinking month — or bigger than the whole month's gain — is the buy-then-purge pattern: it is judged against account size instead, full marks up to 0.5% of followers in a day, zero at 3%.
- Comments per 100 likes (16). 1–10 is full marks. Below 1 it falls to zero at 0.2; above 10 it falls to 0.4 at 25 or more.
- Likes consistency (12). Needs at least 4 recent posts. We take the coefficient of variation (standard deviation ÷ average): zero at 6% or less, full marks at 20% or more. Real audiences swing; bought likes land on the same number every time.
- Audience location (10). Full marks at 60% or more in India, falling to 0.2 at 15% or less. If the largest country outside India is one of Bangladesh, Pakistan, Indonesia, Brazil, Russia, Turkey, Vietnam, Egypt, Iraq, Nigeria, Philippines and less than 70% of the audience is in India, the result is multiplied by 0.6. US, UK, UAE, Canada, Australia, Nepal, Singaporeare treated as normal.
- Following vs followers (8). Full marks while following is 30% of followers or less, zero once it reaches 100% (follow-for-follow).
- Growth vs account age (8). Followers ÷ age in years (at least 0.25). Full marks up to 1,00,000 a year, falling to 0.3 at 10,00,000 a year or more.
- Followers per post (6). Full marks up to 2,000 followers per post, zero at 20,000 or more.
Confidence, fake share and the real-follower range
- Confidence = the total weight of the checks that ran. All eight is 100%.
- Estimated fake share = (100 − score) × 0.9, rounded, never below 3% (or above 90%).
- Range = that share ± (4 + (100 − confidence) ÷ 100 × 12) points, so it widens from ±4 up to about ±15 points as you fill in less. Real followers = followers × (1 − fake share) at each end.
- Fee paying for non-real followers = fee × estimated fake share; the suggested fee is what is left. We only show it when the check has enough data for a verdict and the estimated share is above 5% — a few percent of inactive followers is normal for anyone.
Around 5–15% inactive followers is normal for any account — people abandon apps. Above about 30%, you are paying for reach that doesn’t exist.
Instagram engagement benchmarks by size
Public engagement rate, (likes + comments) ÷ followers. Below the “investigate” line is a flag; above the ceiling starts to look inflated. GetCollab estimates for Indian accounts, last reviewedNovember 2026.
| Followers | Investigate below | Typical | Ceiling |
|---|---|---|---|
| Nano (under 10K) | 2.5% | 5.5% | 12.4% |
| Micro (10K–50K) | 1.7% | 3.8% | 8.5% |
| Mid-tier (50K–250K) | 1.2% | 2.6% | 5.9% |
| Macro (250K–1M) | 0.8% | 1.8% | 4.1% |
| Mega (1M+) | 0.5% | 1.2% | 2.7% |
These are GetCollab estimates and a starting point for a conversation with the creator, not audited data. The only real proof is the platform’s own insights.
Fake follower checker: common questions
How do I check if an influencer has fake followers?
Look at the public numbers together, not one at a time: engagement against accounts of the same size, comments per 100 likes, how much likes swing from post to post, sudden one-day follower jumps, where the audience lives, and how fast the account grew for its age. This checker scores up to eight of these signals and weights them into one score out of 100. Then ask the creator for an insights screenshot before you pay.
What engagement rate suggests fake followers on Instagram?
It depends on size. Our typical public rates (likes + comments ÷ followers) are 5.5% for under 10K, 3.8% for 10K–50K, 2.6% for 50K–250K, 1.8% for 250K–1M, 1.2% for 1M+. Below about 45% of the typical figure is worth investigating. In the score, an account keeps full marks down to 80% of typical and gets zero for this signal at 25% of typical or less.
What percentage of fake followers is normal?
Some is unavoidable: around 5–15% inactive or abandoned followers is normal for any account, so we never estimate below 3%. Above roughly 30%, a brand is paying for reach that does not exist and should negotiate the fee down or walk away.
How accurate is a fake follower checker?
It is a screen, not proof. No tool outside Instagram or YouTube can see who a follower actually is. Our score only uses signals you give it, and the confidence figure is the share of the eight signals’ weight you filled in. The score is capped at 97 because public numbers can never prove an audience is 100% real.
Can a viral post look like bought followers?
Yes. A single day bringing in more than 5× the month’s daily average starts to lower the growth-spike signal, but it never drops below 0.3 out of 1, because a viral reel does the same thing. If you see a spike, check whether a post went viral that day before assuming it was bought.
Is a very high engagement rate a good sign?
Not always. Above about 2.25× the typical rate for the account’s size, engagement starts to look like pods, giveaways or bought likes. We reduce the engagement signal gently there (never below half marks), because tight-knit and viral accounts do this too.
How much should I pay a creator who has some fake followers?
Our rule of thumb: take the estimated fake share off the fee. Each point below 100 adds 0.9 percentage points of estimated fake followers, so a score of 60 means about 36% fake. On a ₹50,000 quote that is about ₹18,000 paying for followers who are not there, and a fairer fee of about ₹32,000.
Which audience countries are a red flag for Indian creators?
A large audience in the US, UK, UAE, Canada, Australia, Nepal or Singapore is normal diaspora or neighbour reach. Bought-follower packages sold to Indian accounts often come from countries like Bangladesh, Pakistan, Indonesia, Brazil, Russia and others. If one of those is the biggest country outside India and less than 70% of the audience is in India, we cut the location signal by 40%.
Is this fake follower checker free? Do you see what I enter?
It is free with no sign-up and no limit, and it runs entirely in your browser. Nothing you enter is sent to us, and we do not look up or store any account.
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