DTC / own-store brands Creators on Threads: 40 Indexed
Updated 2026-08-06
This is the pool of DTC / own-store brands creators on Threads within E-commerce / DTC — 40 of them. The narrower the niche, the higher the reply rate; searching broadly for "E-commerce / DTC creators" usually spends budget on audiences that do not overlap yours.
| Metric | Value |
|---|---|
| Creators indexed | 40 |
| Grade A (contact these first) | 5 (13%) |
| Grade B | 12 (30%) |
| Average authenticity score | 47 / 100 |
| With public contact details | 3 (8%) |
| With recent content captured | 40 (100%) |
| Median follower count | 2,506 |
| Suspected bought-follower accounts quarantined | 12 (excluded above) |
How this slice differs from the index as a whole
- 100% have recent content captured for judgement versus 23% overall — better-evidenced than average.
- A and B grades are 43% of this slice versus 16% overall — a denser pool, so the same screening effort yields more usable names.
- Median following is 2,506, 0.2× the index-wide median of 14,463 — a long tail of smaller creators: cheaper per deal, but more deals needed.
How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.
Top 6 countries
| Segment | Creators | Share |
|---|---|---|
| United States | 1 | 3% |
| SL | 1 | 3% |
| Philippines | 1 | 3% |
| India | 1 | 3% |
| Indonesia | 1 | 3% |
| Germany | 1 | 3% |
Why this niche deserves its own view
"DTC / own-store brands" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.