Use our free Instagram fake follower and influencer analytics tool to analyse influencers. Access fake follower %, engagement rate, audience demographics and much more. By using our Fake Follower checker tool, you can identify influencers with genuine followers and authentic engagement.
Brands on our platform
Instantly see the share of real vs. fake followers on any Instagram profile, backed by audience-credibility scoring, so you only partner with authentic creators.
Go beyond vanity metrics. Compare engagement rate against industry benchmarks to find creators whose audiences actually act, not just scroll.
Influencer Hero combines eight authenticity signals into one clear score, so you can vet any Instagram profile in seconds.
Our data scientists analysed 10,325 commercial influencer posts to measure how fake followers correlate with conversions. Higher audience credibility consistently meant higher ROI.
Based on our research where we analysed the performance of 10,325 influencers which made a commercial post one of the metrics which showed the strongest correlation to ROI is follower / audience growth. This is also clearly visible in the chart on the left where high performing influencer with over 10 conversions per post had a median follower growth rate of 3.2% VS medium performing influencers with 3 - 10 conversions per post with a follower growth rate of 1.0% and low performing influencers with 2 or less conversions even having a negative follower growth rate.
This intuitively also makes sense as social media platforms in this case Meta reward high quality content and active influencers with good content typically experience a growth in followers whilst inactive influencers or influencers with low quality or negative content will experience a decline in their audience size / followers.
Engagement rate is probably one of the metrics which is most frequently mentioned when talking about influencers. But does it rally correlate with ROI? We long had the hypothesis that demographics could impact this as we saw that older demographics naturally engaged less on social media compared to younger audiences while highe disposable income leads to higher sales. To provide you with a data backed answer to this question we analysed 10,325 commercial influencer posts.
The result: High performing influencers ( > 10 conversions / post ) had an median engagement rate of 1.2% followed by medium performing influencers ( 3 - 9 conversions / post ) with 0.8% and low performing influencers ( < 3 conversions / post ) with 0.7%.
When looking at total engagements the difference is more clearly visible. When looking at total engagements you have to be careful however on how to interpret this metric. Remember correlation doesn't imply causation. As total engagements does not take the audience size into account and to avoid comparing apples with oranges looking at engagement rate as a metric is often better than looking at total engagements. What could be the case with total engagements is that the leading metric might be audience size. A larger audience typically leads to a larger number of total engagements. As the audience size did show a correlation with conversion as well it is not completely clear which of the two is the leading indicator of increased conversions.
The ongoing discussion on whether micro and nano influencers are more effective compared to macro and mega influencers is something we analysed as well. The median follower size of high performing influencers ( > 10 conversions / post ) is 119.2K, followed by medium performing influencers ( 3 - 9 conversions / post ) with 59.7K followers and low performing influencers ( < 3 conversions / post ) with 38.1K followers, indicating that size does matter in this case. The research revealed that influencers with follower counts exceeding the 75th percentile (over 96,731 followers) yielded better results.
The discussion if micro and nano influencers are more effective is however not that easy to answer. The underlying argument is that micro and nano influencers are often less expensive to work with. In order to analyse the actual impact on ROI you would need to take the budgets into account when working with influencers.
An interesting metric to analyse when looking to improve your influencer ROI is the blue verified check mark on Instagram. Our research showed that high performing influencers ( > 10 conversions / post ) had an verified account in 61.1% of the times, followed by medium performing influencers ( 3 - 9 conversions / post ) with 34.4% being verified and low performing influencers ( 0 - 2 conversions / post ) being verified in only 26.7% of the times.
When looking at this metric we would like to refer again to the saying: correlation doesn't imply causation as larger accounts often tend to be verified more frequently. The underlying metric which is actually causing the increase in conversions could be audience size instead.
Within our influencer discovery tool where you can find influencer using detailed filters our data scientists have blended all the metrics from above into an conversion enhancing filter which our merchants can use to identify influencers which are more likely to perform well. It is important to still do the analysis and add the required filters but using this conversion enhancing filter helps to shortlist potential high performing influencers.
Detecting fake followers on Instagram is essential for understanding the genuine engagement and reach of an account, whether you're assessing the value of a potential collaboration or seeking to clean up your own follower list. Here are the top ways to identify fake followers:
Compare the account's number of followers to the level of engagement (likes, comments, shares). A significantly low engagement rate could indicate a high number of fake followers, as these accounts typically do not interact with content.
Look at the comments on the posts. Generic, irrelevant comments, or repeated use of emojis without any real context might be from bot accounts or paid services meant to boost interactions artificially.
Click on some of the followers or browse through the followers of an influencer to see if a lot of followers don't have a profile picture. A high amount of followers without a profile picture can indicate a large amount of fake followers.
If a lot of the followers don't have any posts or a very small number of posts it could be an indicator that the influencer might have purchased fake followers. Providers which sell followers often don't put a lot effort into creating the account and not having any posts could mean that it is a fake account.
Example: following thousands but with very few followers. This can be another indicator that the followers are fake. Bot accounts often follow a larger number of accounts but have a very small number of followers.
A sudden, unexplainable spike in followers can be a red flag. Authentic growth typically occurs gradually or follows a noticeable trend aligned with account activity (e.g., viral content, media features).
Look for consistency in engagement across posts. An account with genuine followers will likely have a relatively consistent engagement rate across their content. Wide fluctuations (beyond the impact of viral content) can indicate manipulation.
Fake or bot accounts often have incomplete bios, lack personal information, or use stock images as profile photos. A genuine account usually has a fleshed-out bio, a real profile picture, and a cohesive feed.
Many fake accounts are set to private to avoid detection, making it harder to immediately spot their lack of genuine content. Additionally, an account with extremely high activity (posting too frequently or liking/commenting far more than typical user behavior) might also be suspect.
Genuine followers are more likely to have a history of varied interactions on Instagram. Fake accounts often have little to no such history, or their activity is repetitive and not specific to the content they are supposedly engaging with.
Instagram now shows a “Potential Spam” section when you tap your follower count. You can review and remove suspicious accounts, and if one seems spammy, you can report, remove and block it. You’ll also see what Instagram is flagging as spam under the “Followers” tab.
Another way to spot authentic engagement is to check how quickly engagement comes in. When an influencer publishes, see how many likes/comments they have in the first hour. If there’s a sudden jump from 90 likes to 2,000+ likes in a couple of minutes this is usually a red flag.
Influencer Hero's search and discovery tool allows you access detailed reports of each influencer analysing the % fake followers as well as mass followers. As an influencer marketer it is crucial to understand the real audience an influencer could reach through a brand partnership. Beside fake followers we also analyse mass followers which are account which follow >1500 accounts. These people are difficult to reach due to the large number of account they follow and should also be taken into consideration when forecasting reach.
Some of the best free fake follower scanner tools include Influencer Hero's Fake Follower Checker, Modash, and Inbeat. These tools help analyze influencer accounts by detecting fake followers, mass followers, and providing additional insights like engagement rates, audience demographics, and growth patterns. Each tool offers unique features, making them valuable for influencer marketers and Instagram influencer marketing professionals aiming to ensure authentic audience engagement and maximize the impact of brand partnerships.
Fake followers inflate an influencer’s audience size, often leading brands to pay rates based on inflated follower counts rather than real engagement. As influencer pricing is commonly tied to audience metrics, these inauthentic followers can mislead brands into paying a price that doesn’t reflect their actual impact campaign ROI. This mismatch means brands may not achieve the reach or authentic engagement they expect, potentially wasting resources on ineffective influencer partnerships.
Ensure you are targeting the right audience by analyzing audience demographics. Gone are the days of guessing whether your next collaboration will be successful. Besides our tool you can also install our influencer audit chrome extension to effortlessly analyse influencers on the go.
Analyze the exact gender split of an influencer's audience. In addition to gender distribution, you can also access age demographics, ensuring you reach precisely the people in your target audience.
Worried about fake followers? We've got you covered! Analyze the exact percentage of fake followers using our free influencer fake follower check and ensure you only work with credible influencers.
Curious about how much an influencer could sell? Our free influencer fake follower check tool will also predict estimated sales & EMV for you. Access forecasted sales and predicted earned media value effortlessly.
Did you know that follower growth is the top metric for conversion performance? Our data scientists analyzed over 10K commercial influencer posts and found that audience growth had the strongest correlation to conversions. Be sure to analyze this metric for your next influencer collaboration.
Influencer Hero helped us significantly scale our UGC pipeline, resulting in higher ROAS and lower CAC across our campaigns.
Nick Nijhoff - Co-Founder, Dore & RoseI am getting so much more done with Influencer Hero by my side. It provides all the tools I need to run successful campaigns and achieve outstanding results. Love it!
Nisha Btesh - HolagwapaWe were able to centralise our entire global creator program into one unified CRM. From campaigns in Germany, France to the UK, having everything in one system helped us scale and keep reporting aligned.
Duke Tanson - CDO, GlamiraFinding Influencer Hero could not come at a better time for our brand! We needed a system to find and partner with influencers, and they have been an amazing partner! Can't recommend them enough.
Garret Peters - Co-Founder, Duncan & Stone Paper CoJoin 1,200+ brands and 150+ agencies scaling creator programs with Influencer Hero.
Book a demo