What the Profile States
Follower and following counts, lifetime likes, how many videos there are, and whether the account is verified all come back as the page prints them — the account's own numbers, not an estimate of them.
Judge a creator on what their videos actually do, not on the follower number at the top of the profile.
A follower count is the one number a profile hands you, and the one that says least about whether a creator's posts land. AllyHub pulls the public counts, then works out average views, engagement rate, and posting cadence from the videos themselves — for one creator or a shortlist of them, delivered as a file, without an API key or a line of code.
Follower and following counts, lifetime likes, how many videos there are, and whether the account is verified all come back as the page prints them — the account's own numbers, not an estimate of them.
Average views and engagement rate get computed from the creator's public video list — likes and comments against views, worked out post by post rather than taken from a dashboard.
Posting cadence comes out of the dates on the recent uploads — how many a week, and whether the pace has changed lately or held steady.
The videos that pulled furthest above the creator's own average get pulled out with them, so you can see what their best work has in common.
Hand over several handles and each one comes back in the same shape, so twenty candidates become a table you sort rather than twenty profiles you scroll.
Take it as a document or a spreadsheet, one row per creator with every computed figure beside the counts it came from.
From a handle to a TikTok creator analytics report in three steps.
Give AllyHub one handle or a shortlist of them, and say how far back the video sample should reach.
It collects the follower and following counts, lifetime likes, video total, verification state, and each recent video's views, likes, comments, and date, then derives the averages and cadence.
Sort the shortlist, take the report into a brief, or store the setup so the next batch of creators arrives in the same shape.
Follower counts are the easiest number to buy and the hardest to act on.
A creator with a large following and a thin engagement rate is a different proposition from one with half the audience and twice the response. Because the rate is worked out from their own videos rather than read off the profile, that gap shows up before you pay for it.
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Vetting creators one profile at a time is how a shortlist takes a day and still ends up decided on vibes. Running them together puts the same figures side by side, and the ones that don't hold up are visible in a scan rather than after three tabs.
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The counts are TikTok's; the averages and rates are AllyHub's arithmetic on the public video list, and the page says which is which. It's a snapshot too — TikTok doesn't publish follower history, and nothing here watches an account between runs, so growth over time isn't something this shows.
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Set the sample window, the figures you care about, and the report shape once. Your AllyHub never starts from scratch again, so the next shortlist arrives already in your format, and it gets faster every time.
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Influencer marketers, brand teams, creators benchmarking themselves, and agencies who have to defend a shortlist.
A creator's rate card quotes their follower count and nothing else, and you're about to sign off on it. Read what their videos actually pull, set it against the price, and negotiate on the number you'd be buying rather than the one on the card.
A rival account keeps coming up in meetings and nobody can say whether it's actually working. Put their averages and cadence next to yours, and replace the impression with something you can point at.
You post more than the accounts you envy and get less back, without knowing where the gap sits. Line your own averages up against theirs and see whether it's reach, response, or how often you publish.
The client asks why these five creators and not the other fifteen, a week after you picked them. Hand over the table you picked from, with the same figures filled in for every name on it.
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Where each figure comes from, and what this can't show you.
It profiles an account on two levels: the counts on the profile plus what the recent videos actually did. AllyHub returns followers, likes, and video count as published, then computes average views, engagement rate, and posting cadence from the public video list.
Yes — one creator is free. Shortlists, deeper video samples, and report exports are what the paid tiers add.
Both, and the report keeps them apart. Followers and total likes are printed on the profile; average views, engagement rate, and cadence are arithmetic AllyHub does on the public video list, so you can see the working instead of trusting a score.
No. TikTok doesn't publish follower history, and nothing here re-runs on its own, so what you get is where the account stands today. Running it again later and keeping both reports is how you see movement.
Both shapes are there, but the part worth asking for is the raw video-level rows alongside the summary: the averages then arrive with the posts they were calculated from, so anyone who wants to check the arithmetic can.
Most show a profile's counts and stop, or sell a proprietary score with no working shown. AllyHub computes from the public videos, labels which figures came from where, is plain about monitoring not being here yet, and builds on what it already knows about the figures you ask for.