What does average likes mean in IQFluence tops?

How IQFluence calculates Average likes

Average likes = (likes on post 1 + … + likes on post 30) ÷ 30

If the last 30 posts received 24,000 likes in total, Average likes is 800: 24,000 ÷ 30.

Because this is an arithmetic mean, one unusually popular post can raise the result. A single tall bar in the engagement benchmark usually marks a piece that significantly outperformed the rest, so review that content before treating the average as typical.

Suggested caption: Average likes is calculated across the creator’s last 30 posts. One unusually popular post can raise the arithmetic mean.

How is Average likes different from engagement rate?

Average likes is the likes value used as the numerator of IQFluence engagement rate. Engagement rate divides Average likes by Followers.

Engagement rate (%) = Average likes ÷ Followers × 100

Two creators can have similar Average likes values and different engagement rates when their follower counts differ. A small discrepancy may remain if the displayed inputs are rounded.

What should you check before shortlisting?

Open the creator’s last 30 posts and look at the spread of their likes. A creator whose response is consistent across relevant content presents a different planning case from one whose average is lifted by a single standout post.

Check previous sponsored content separately where it is identifiable. An average based on recent posts does not establish the response a paid collaboration will receive.

Do not treat a missing or inaccessible like count as a visible zero. The product team still needs to confirm how such cases affect the calculation.

Does Average likes affect the ranking?

In the default ranking, eligible creators are ordered by follower count. Average likes helps you assess those creators but does not change their position.

Read the full ranking methodology.

Prepared by: IQFluence content team.

Methodology reviewed by: IQFluence product and data team.