Every guide is built from our creator database, not generic advice — see the "Data note" at the bottom of each article for exactly what's measured vs. analyzed.
Compare nano, micro, mid and macro creators using the published dataset: creator count, active-seller rate, average 30-day GMV and GMV efficiency.
Market size, creator tiers, campaign workflow, and mistakes to avoid.
A repeatable checklist built around the data fields that are actually reliable.
Historical GMV, active-seller share and follower-tier signals, with campaign limitations stated.
Channel selection, message templates, and PDPA-compliant outreach.
A planning framework for translating category data into a realistic budget.
Data-backed warning signs to check before you commit budget.
A practical contract checklist — deliverables, usage rights, payment, exclusivity.
Step-by-step: listing, collaboration types, fulfillment, tracking, re-engagement.
Turn observed active-seller rates into a practical sourcing-pool size by follower tier.
GMV distribution and follower-tier efficiency across 30,782 beauty creators.
Why tier averages hide a wide spread — and why that matters for planning.
91.4% of creators are tagged across exactly 3 categories, not just beauty.
Only 0.8% of creators are MCN-bound — but that group performs differently.
Order value and volume benchmarks by tier, and a simple ROI framework.
19% carry Muslim/Modest Fashion tags — what that means (and doesn't mean) for brands.