Every creator list starts sorted by followers, because it is the only number available for every account and the only one a spreadsheet can order.
It is also the number least connected to whether a campaign will work, which is why shortlists built this way look the same across every brand in a category.
What follower count predicts
Follower count predicts the price. That is close to all it predicts. Two accounts with the same number can differ by an order of magnitude in how much of an audience actually watches.
And a large count often means an audience assembled years ago around content that has since changed.
Engagement per view, not per follower
Engagement divided by followers rewards small accounts and punishes large ones, because reach does not scale linearly. Engagement divided by views is closer to what a buyer is purchasing.
Neither number means anything without the window and the format. A comment campaign and a view campaign are not comparable.
Audience overlap is the missing field
Two creators with matching audiences sold to the same brand twice is not twice the reach. Overlap is what decides whether a list of ten is really a list of six.
Store the audience profile per creator, at least coarsely, and compute overlap for the shortlist rather than for the set.
Build the shortlist from the brief
Start from the behavior you need: a demonstration, a review, a tutorial, a reaction. Then filter by the format the creator actually produces well, then by audience, then by price.
Followers come last, or not at all.
Zovda assembles these collections through Datuva, where each creator keeps format and audience fields next to the counts. The creator rate cards collection shows the shape of the record.
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