Average likes divided by followers.

How to read the result

Pair this with comment volume if the post asks people to comment a keyword.

The tool runs in your browser. It does not send the numbers to DripDM.

Use a representative average, not a peak

Enter average likes per post and followers. The widget divides that average by followers and expresses the result as a percentage. It does not average several posts for you, so prepare the average before entering it. Comments, saves, shares, reach, and impressions are not included. A viral Reel or giveaway can be unrepresentative of ordinary posts. Label the sample and period so a reader knows what the average actually describes.

Using the inputs and result

Choose comparable posts with enough time to accumulate response, calculate their average likes, and record the follower denominator. Keep unusual campaigns identifiable rather than quietly mixing them into a typical-post report. If the post asks people to comment a resource keyword, review comment requests and the private handoff separately. A low likes ratio can coexist with useful inbound questions, while a high ratio does not prove that a destination or offer is being used.

Limits and result checks

Check that you did not enter total likes across multiple posts where the input asks for an average. Zero followers cannot give a meaningful percentage, regardless of a numerical fallback. The tool does not retrieve account analytics or certify audience quality. Compare consistent samples within your own reporting method instead of treating a public good-rate table as a universal standard. Do not convert the ratio into revenue, sponsor value, or a claim about future distribution without separate evidence.

Explain which posts produced the average

Record the sample period and whether it includes promoted content, giveaways, or an unusual viral post. Use that same method for later comparisons so the percentage is interpretable. If your campaign asks people to comment a keyword, preserve comment requests and destination use as separate measures. A post can serve the intended customer action without maximizing likes. Keep the calculator output descriptive and avoid using it alone to rank audience quality, set a sponsor fee, predict reach, or claim the automation created revenue.