The hidden overlap in multi-platform outreach: 1,005 accounts are really 475 people
"Going multi-platform" sounds like diversification, but one failure mode rarely gets discussed: you think you booked three creators on three platforms, when you paid the same person three times — and their followers largely overlap.
We matched accounts across platforms using verifiable signals (profiles linking to each other, strong handle and display-name agreement, external links on the same domain). The result: 1,005 accounts correspond to 475 people, and 52 of them run three or more platforms.
| Platform pair | Same person on both |
|---|---|
| TikTok + YouTube | 178 |
| X (Twitter) + YouTube | 36 |
| TikTok + X (Twitter) | 32 |
| Threads + TikTok | 28 |
| LinkedIn + X (Twitter) | 20 |
| Instagram + TikTok | 19 |
How to use this
This is not an argument against multi-platform deals. The same person does reach somewhat different people on different platforms — long-form on YouTube attracts a different slice than takes on X.
Use it in negotiation. If you plan to work with one person across three platforms, that is one bundled negotiation, not three independent buys. Pricing, scheduling and creative should be packaged accordingly. Negotiating separately usually means paying three creator rates for one creator's reach.
Use it to audit your list. A schedule that looks like 10 creators may be 7 people. That gap directly changes how much distinct audience you think you are covering.
Limits of this method
Matching uses verifiable public signals, not guesswork. Where we cannot establish a link — no cross-references, no naming consistency — we leave accounts separate even if they are in fact the same person. So the real duplication rate is higher than the number above, not lower.
Methodology
The sample is 1,005 creator accounts indexed and validated inside Koinon Link. It is not every creator on these platforms, and it is not a random sample — it comes from our keyword-driven collection, which skews toward AI software, e-commerce and gaming.
"Suspected inflated" is our own anomaly detection, not a platform-official flag: it looks at whether follower growth arrived in vertical steps, whether the engagement-to-follower ratio sits far outside the normal band for that platform and size tier, and how templated the engagement looks. It means "worth a manual check", not "this account is definitely cheating".
All figures are recomputed daily; this page shows the most recent run.