Playbook replay
Discover creators in your niche
Ten creators ranked by fit against a seven-part brief, with the criterion doing the most filtering named.
Run for Lumira, a demo brand we invented for this page. No customer data. Nothing here runs against a live account.
Every session here was run once and saved, against a demo brand or public data. On your own account Naise works from your brand voice, your campaigns and your connected channels, so it reasons about your data instead of a stand-in.
Ranking by follower count inside a band is meaningless: everyone in the band already passed that test. Fit against the rest of the brief is the only thing left that distinguishes them.
Searching on all seven criteria rather than the niche alone, then ranking by how much of the brief each creator actually meets.
Ten, ranked by fit. Handles are masked in this sample.
| # | Creator | Followers | Meets | Misses |
|---|---|---|---|---|
| 1 | Creator A, IG | 31k | All seven | Nothing |
| 2 | Creator B, TikTok | 22k | Themes, tone, audience | Posts weekly, not daily |
| 3 | Creator C, both | 64k | All but tone | Reads slightly clinical |
| 4 | Creator D, TikTok | 9k | Tone, empties, audience | No morning routine content |
| 5 | Creator E, IG | 47k | Themes, audience | Tone is comedic, not warm |
| 6 | Creator F, TikTok | 15k | All seven | Audience skews 18 to 24 |
| 7 | Creator G, IG | 73k | Themes, tone | Rarely reviews honestly, all positive |
| 8 | Creator H, both | 6k | Tone, audience | Small sample, 11 posts total |
| 9 | Creator I, TikTok | 38k | Themes, audience | Has a competing partnership live |
| 10 | Creator J, IG | 12k | Tone, empties | Audience is mostly beginners |
Why 1 and 6 are at the top and not 3 and 7. Creator C and Creator G have the biggest followings on this list and both fail on the part of the brief that is hardest to fix. You cannot brief a clinical creator into sounding warm, and you cannot brief an always-positive account into being believed when it reviews you honestly.
Creator A is the only one meeting all seven with nothing against them. Creator F meets all seven too, but their audience is a decade younger than yours, which is a real miss dressed up as a match.
The criterion doing the most filtering is "honest reviews".
It cut the pool from 24 to 11. Most creators in this niche post positively about everything they are sent, which is not dishonesty so much as how the category works, but it makes them a poor fit for a brand whose whole position is that most routines get abandoned.
If you relaxed it, the list would roughly double and the top three would change: two accounts in the 90k to 140k range come back in, both strong on every other criterion.
Relax the follower band instead. Your 5,000 floor is cutting seven accounts that fit the brief on all six other counts. At this size the floor is doing less work than you would think, because engagement in this niche does not fall off until well below 5k.
Two limits on this list. Creator I has a competing partnership live right now, so they are a later conversation rather than a no. And Creator H has only 11 posts, which is too small a sample to judge either their engagement or their consistency. I have ranked them on what exists, but treat that row as a guess.
Where this stops today. This is a longlist to screen, not a shortlist to book. Nothing here has been checked for authenticity yet, and two of the ten have engagement patterns worth a second look before you spend anything.
Naise created an artifact
Ranked against all seven brief criteria, with what each one meets and misses.
Top of the list
| # | Followers | Meets | Misses |
|---|---|---|---|
| 1 | 31k | All seven | Nothing |
| 2 | 22k | Themes, tone, audience | Weekly, not daily |
| 3 | 64k | All but tone | Reads clinical |
The biggest followings are not the top picks. Both fail on the part of the brief you cannot brief your way out of: you cannot make a clinical creator sound warm.
Doing the most filtering: "honest reviews" cut the pool from 24 to 11.
Relax instead: the 5,000 follower floor is cutting seven creators who fit everything else.
Handles masked in this sample.
That was a sample. Run it on your own brand.
Naise reads your brand, your channels, and your market, then does this against your real data.
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