How to choose creators for a campaign
For people handed a list of names who want to know how to assess it.
In short
Selection starts from the goal and the audience, not from a list of names. The order of checks is always the same: topical fit, then audience demographics, then reach separately for each platform, and finally publication history and the quality of past work. Checking reach first produces a list of large channels with nothing to do with the category.
- Published:
- Updated:
- Author and publisher:
- Rokmates
Four criteria, in order
- Topical fit - whether the creator genuinely covers subjects in your category, or could merely mention it.
- Audience demographics - the age and gender split of the community, not of the creator.
- Per-platform reach - separately for each channel, because a total does not describe real coverage.
- Publication history - the quality of previous commercial material and whether the community accepts it.
A creator with 1.2M on TikTok and 24k on YouTube is two entirely different propositions depending on where the material is meant to appear. Adding those into "1.22M" describes nothing.
Why audience demographics, not the creator’s own
The creator’s age and gender get confused with the profile of their community, and the gap can be dramatic. Our roster includes channels run by men whose community is over 90 per cent women, and the reverse.
That difference decides campaign fit. If a product targets women aged 25-44, what counts is the channel’s audience split, not who stands in front of the camera.
What to check in demographic data
- The age split by bracket, not an average - an average hides a bimodal distribution.
- The gender split as a percentage, with the source and measurement period stated.
- The measurement date - data from a year ago describes a different community.
- Which platform it covers - the same creator’s demographics on TikTok and YouTube often differ.
Reasoning instead of a list
A recommendation that is only a list of names cannot be assessed. Every name should come with the reason it is there - and that reason should refer to the campaign goal, not to the creator’s popularity.
| Useless | Useful |
|---|---|
| "Large reach on TikTok" | "1.2M on TikTok, 88% of the audience are women 18-34 - overlaps the target group" |
| "Makes good content" | "Three recent commercial pieces in the category, format close to the one planned" |
| "Fits the brand" | "Channel topic: home cooking - the product category sits inside it without a stretch" |
The role of data and tooling
Proprietary creator data and automation shorten the time to a proposal and let candidates be compared on the same fields. They do not replace human judgement: tone fit, credibility in a category and the quality of past work are assessed by watching the material, not by reading a table.
Tooling can narrow a list from several hundred people to a dozen. Choosing a few from that dozen is an editorial decision and should have an author.
Frequently asked questions
Does bigger reach mean a better result?
No. For some objectives, creators with a smaller but engaged community and a clearly defined topic perform better. Reach describes potential coverage, not how well a message lands in a specific category.
How can I tell whether an audience is genuine?
Through the ratio between reach and reactions over a longer period, the topical consistency of publications, and how the community responds to commercial material. A single viral says nothing about a channel.
Is creator demographic data public?
Some statistics are public and some come from the creator’s own analytics, shared for pricing purposes. We publish only data the creator has already made public, with the source and update date stated.
Related services
Want a creator recommendation for a specific campaign?
Tell us your goal and who you want to reach. Every name comes with the reason it is on the list.
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