Use case Leads and enquiries
Vet the creators first
Every discovery tool hands you a list of handles and none of them says which ones are worth a message. So you open forty profiles by hand, squint at the likes, scroll for a #ad and hunt the bio for an email. By the thirtieth one you are guessing. I built this to do that pass for you and hand back a ranked list with the reason already written.
The question this page answers
How do I tell which creators on my shortlist are actually worth messaging, and what do I say to them?
How the working version is put together
Give it the handles
Put the handles in one per line. A profile URL works on its own, and a bare handle takes a platform in front of it: ig, tt or yt. Choose how many recent posts to read, twelve by default, and add niche keywords if you have them. Leave the list empty and you get three demo rows scored by the same rubric, which costs nothing.
Read the profile and the recent posts
The reads run on public scrapers on your own Apify account: the Instagram Profile Scraper, the TikTok Profile Scraper and the YouTube Channel Scraper. Instagram hands me the latest twelve posts with the profile, so the Post Scraper only runs when you ask for more. If you already hold those records, paste them in and I score them without fetching anything.
Measure engagement against a benchmark for that size
Likes plus comments per follower on the posts I read, compared with our benchmark for that follower band and platform. An Instagram account over a million followers is measured against 0.8 percent, one under ten thousand against 4 percent. YouTube carries no likes at the channel level, so its rate is the median views of the recent videos over subscribers.
Score it out of 100
Engagement is worth 30, recency 15, posting cadence 15, a contact route 15, the sponsored share 10, niche fit 10 and audience size 5. The lines add to exactly 100. Sixty or more is FIT, 35 to 59 is MAYBE, the rest is PASS. One override sits on top: an account with no post in the last 90 days is PASS whatever it scored, because a dead account with a great history is still a dead account.
Write the reason as a sentence
Up to three pitch angles per creator, built only from that row's numbers. Their bio lists an email, so the pitch can go by email rather than a DM that may never be opened. Two of the last twelve posts are already brand deals, so they know how a partnership runs. They publish about four posts a week, so a sponsored slot would not be a one-off.
What six real creators scored
The first real run vetted six handles with four niche keywords set: two on Instagram, two on TikTok and two on YouTube. Marques Brownlee scored 86, FIT, on a typical video reaching 3,750,000 views against 21,200,000 subscribers, a post a day ago, and a business email in the bio. Pick Up Limes scored 77, FIT: 3.39 percent engagement on 1,170,763 followers, which is 4.2 times our benchmark for the over-a-million band. Fireship scored 76, FIT. Cookie and Kate, with 466,263 followers and 6.4 posts a week, scored 53, MAYBE, because engagement on the last twelve posts was 0.06 percent against a 1.2 percent benchmark. The whole run cost twelve cents of my fee plus the scrapers on my own account.
The TikTok rows are the honest half. Jeenie scored 48, MAYBE, on 0.54 percent engagement and an empty bio with no way to get in touch. Lynja scored 64 on that build, with 13.61 percent engagement and an email in the bio, and her newest post was 969 days old. That row is why the 90-day override exists: on the final build she is PASS, because nobody should be writing to an account that has been silent for two and a half years, however good its history.
The benchmark is ours
The engagement points compare each creator with a table we built from the runs we have vetted, one figure per platform and follower band. It is a working table for ranking a list, not a published industry number, and every row names the band it was measured against so you can disagree with it.
What approximate means on YouTube
YouTube dates arrive as text like three weeks ago, so recency and cadence for a channel are approximate and the row says so. Sponsored posts are found by their markers, a #ad, a paid partnership label or a discount code, and a deal with no marker is missed. On YouTube the sponsored share is read from titles only.
What it costs to run
Two cents per creator whose profile came back. A private, renamed or removed account produces an error row and no charge. The profile scrapers run on your own Apify account and are billed there on top, exactly as if you had run them yourself. Run the same list under the same watch key next month and each row carries the follower change since last time.
Read this before you spend anything
When I would tell you not to bother
This ranks a list you already have. It does not find creators, and a handle it cannot read comes back as an error row rather than a guess.
The engagement rate describes the posts you asked me to read, not the account's history. Ask for twelve and the number describes those twelve.
None of it is a judgement about the creator. It describes what the public profile showed on the day I read it.
What lands on your desk
- One row per creator: fit score out of 100 and a FIT, MAYBE or PASS band
- Engagement rate with the benchmark it was measured against, cadence, days since the last post, sponsored count and contact route
- Every rubric line that fired, with its numbers
- Up to three pitch angles written as sentences from that row alone
- A run summary with the band counts, how many carry an email, and the ten highest scores
- If you want the FIT rows flowing into a CRM with a first message drafted per creator, that is the work I do
Open the proof
Published case studies of systems that are running. Each links to the thing itself.
Other builds in this cluster
Same pattern, each one aimed at a different part of the business and linking to its own page.
Questions this page answers
- Which platforms does it read?
- Instagram and TikTok profiles with their recent posts, and YouTube channels with their recent videos. Each read runs on a public scraper on your own Apify account.
- What does the score measure?
- Seven lines that add to 100: engagement against our benchmark 30, recency 15, cadence 15, a contact route 15, the sponsored share 10, niche fit 10 and audience size 5. FIT is 60 and above, MAYBE is 35 to 59.
- Why is a high-engagement account marked PASS?
- Because it has not posted in 90 days. The override sits above the score, and the real run had a TikTok creator at 13.61 percent engagement whose newest post was 969 days old.
- Where does the benchmark come from?
- It is our own table, one figure per platform and follower band, built from the runs we have vetted. Every row names the band it was measured against.
- What does it cost?
- Two cents per creator whose profile came back. The profile scrapers bill your own Apify account on top, and an account that cannot be read costs nothing.
Want this built and handed over working?
One line is enough to start. You get an honest answer on fit, and a number rather than a discovery call.
Start a brief