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How do you build a TikTok creator database for your brand?

Direct answer

Build a TikTok creator database by running 5–10 seed keyword searches in your niche, exporting the top 200 per keyword (filtered by 50k+ followers, 4%+ engagement, target country), then deduplicating into a single shortlist of 800–1,500 creators with bio emails and engagement scores attached. Refresh quarterly. Most mid-sized brands maintain 500–2,000 creators in their working database. KOLens automates the discovery, dedupe, and quarterly refresh — exporting to a single CSV that drops straight into your CRM or outreach tool.

Why a creator database beats one-off searches

Repeat one-off discovery costs more over a year than maintaining a database. A typical brand running 3 campaigns per quarter ends up doing 12 separate searches annually, vetting 200+ creators each time, with substantial overlap and no institutional memory of who responded last time, who delivered, who ghosted.

A working database — even a 500-row spreadsheet — solves all three problems. You keep performance history, you only vet new entrants, and you accumulate a relationship moat with the creators who deliver.

Seed keywords: 5–10 of them, not 50

Start with 5–10 keywords that capture your product category from different angles. For a skincare brand: skincare, acne, glow up, drugstore makeup, cleanbeauty, korean skincare, sensitive skin. Each search returns 200 ranked creators; together you get 600–1,500 unique creators after dedupe.

Resist the urge to add more keywords. The 11th–30th keywords mostly return creators already surfaced by the first 10, and the diminishing returns aren't worth the curation overhead. Re-run quarterly with the same 10 keywords to capture new entrants.

What to store per creator

Minimum useful fields: handle, follower count, engagement rate, audience country split, posting cadence, bio email, last contact date, last deal status (responded / declined / completed), and a free-text 'notes' field for whoever vetted them.

Optional but useful: a relevance score (how cleanly their content matches your category), authenticity flag (any suspicious follower-growth pattern), and a 'priority' tag for shortlisting per campaign. KOLens exports all of this into a single CSV so you don't reinvent the schema.

Refresh and outreach cadence

Engagement rates and follower counts change. Refresh the full database quarterly — re-run the 10 seed searches, dedupe against the existing list, update engagement/follower numbers on the existing rows, drop creators who've gone inactive (no posts in 60 days), add new entrants who've grown into your tier band.

For outreach, treat the database as a pool to draw shortlists from rather than a mailing list. Email 20–40 creators per campaign, never blast all 1,000 — bulk outreach burns the relationship and your domain reputation. KOLens's CRM-style watchlist and outreach drafting tools are built around this 'shortlist per campaign' workflow.

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The benchmarks above are computed live from public TikTok activity. Open a free dossier on any creator to see engagement rate, audience country split, posting cadence and bio email in one view.

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How do you build a TikTok creator database for your brand? | KOLens