You Do Not Type Numbers
Paste a handle or a post link. The likes, the comments, and the follower count get collected for you, because the dividing was never the part that took time.
Every calculator asks for the likes, the comments, and the follower count. If you had those three numbers, you would not need one.
It collects the inputs, shows its working, and reports two numbers instead of one.
Paste a handle or a post link. The likes, the comments, and the follower count get collected for you, because the dividing was never the part that took time.
Every percentage arrives next to the sum that produced it, so you can check the sum and see exactly which numbers went into it before you quote it to anyone.
Both get reported. One runaway post pulls an average a long way up, and when that happens the average is describing that post rather than the account.
A handle goes in. A number you can defend comes out.
An account or a set of post links. Say how many recent posts to include if you have a preference.
AllyHub reads the public likes and comments on each post, divides by the follower count, and writes the sum out next to each result.
Use it, or save the method so next month inherits it.
Three things to know before you quote the figure to anyone.
The figure you read somewhere, the one saying a good rate is a particular percentage, never says what it divided by or which accounts it sampled. Two rates on different denominators are different measurements, so there is nothing to compare against.
.jpeg&w=1920&q=75)
A high rate on four hundred followers is a real number and it is not the same as a business. Small accounts score higher almost automatically, so a rate is worth reading next to the size it came from rather than on its own.
.jpeg&w=1920&q=75)
Why one post did four times what the others did is a question about the post, not about the division. This gives you the figure and stops there. Working out what was different is reading, and reading happens elsewhere.
.jpeg&w=1920&q=75)
Sample size, which posts count, whether you want the median leading. The sample size and the method get fixed once, so a monthly figure stays a comparison rather than a fresh guess. Your AllyHub never starts from scratch again and gets faster every time.
.jpeg&w=1920&q=75)
People reporting a number upward, people checking a creator before paying them, people verifying their own sums, and people whose average got hijacked.
Once a figure somebody else will act on leaves your hands, the question stops being what it says and becomes where it came from. A percentage with no visible working is hard to stand behind in the meeting after the meeting.
Before agreeing to pay someone for a post, the follower count is the least useful thing on their profile. What the posts get is the part that matters, and it is also the part nobody volunteers.
Plenty of people already know the formula and just want the numbers gathered. Checking your own arithmetic against something that shows its working is faster than doing it twice by hand.
A post goes unusually well and every account average is now describing that one post. Six months later the number is still there in a deck, quietly wrong about the other eleven posts.
Explore more AI-powered tools across research, content, and data.

Amazon Bestsellers Scraper — pull any ranking list with rank position, ASIN, price, and rating. No code, no Amazon API, all marketplaces. Try AllyHub free.

Amazon Product Scraper — pull structured product data from any Amazon domain without code or the Amazon API. Export JSON or CSV. Try AllyHub free.

Amazon Niche Finder — start from your interests, a category, or a rival, and get underserved niches scored on demand vs competition. Try AllyHub free.
Guides on a percentage that is easy to produce and hard to trust.

Struggling to scrape Amazon product data without getting blocked? Learn safe, effective Amazon scraper methods using APIs, no-code tools, and Python.

Discover the 10 best Amazon competitor analysis tools used to track competitors, uncover keyword gaps, and understand why top listings outperform yours.

Discover the best Amazon SEO tools to boost your rankings, find high-converting keywords, and outpace competitors. Reviewed and ranked for e-commerce marketers.
What it is, cost, where the number comes from, what counts as good, and monthly reporting.
Something that turns likes, comments, and followers into a percentage. Most of the category is the sum. The part worth having is the inputs, since the difference between the sum and the inputs is about a second of work against half an hour of it.
A dozen posts, free. Longer samples, several accounts in one go, and saving a method so the next month matches, come with the paid plans.
Public likes and comments on each post, divided by the follower count on the profile. The arithmetic comes with it so you can check the sum yourself. Reach and impressions are not public, which is why the follower count is the denominator here and in every other tool outside the account.
Nobody outside your account can tell you honestly, and the numbers quoted around the web mostly cannot be traced to a method. A rate is useful compared against your own previous rates on the same method, and close to useless compared against a figure whose sample you cannot see.
Most give you three empty boxes, which means the tool does the easy part and you do the rest. Here the numbers get collected, the sum is visible, the median sits next to the mean, and the sample size and the method are fixed once so next month is comparable.