Only 4.6% reach decision makers: audience seniority across 2,518 AI creators
Everyone asks whether a creator's audience is "the right people". Far fewer ask the follow-up: can those people actually authorise spend?
A channel serving "AI professionals" whose audience is engineering leads is a different business from one whose audience is students following tutorials — especially for a B2B tool sold on annual contracts. We analysed the content of 2,518 AI-category creators to determine audience seniority.
| Audience seniority | Creators | Share |
|---|---|---|
| General consumers (not practitioners) | 1,191 | 47.3% |
| Hands-on practitioners | 785 | 31.2% |
| Learners / beginners (low budget) | 380 | 15.1% |
| Decision makers (can approve spend) | 116 | 4.6% |
| none | 46 | 1.8% |
How to read this
Only 4.6% reach decision makers. If your product requires budget approval, the addressable pool is far smaller than it looks — and those channels tend to be smaller, because decision makers are a niche audience to begin with.
Practitioners at 31.2% are the bucket self-serve products should target. They do not sign contracts, but they sign up, try the product, and push adoption internally. For product-led growth this bucket outperforms decision makers.
Learners at 15.1% are the easiest to misread. These channels often look excellent — tutorial content drives high engagement and fast follower growth — but the audience has minimal budget, and conversion lands well below expectations.
Matching motion to audience
· Annual contracts / approval needed → target the decision-maker bucket; accept a small pool at higher cost · Self-serve / freemium → target practitioners; their trial conversion is the most direct · Education / low ticket → learners are the right audience
Mixing these motions is a common reason campaigns show "good numbers but no conversions".
Methodology
The sample is 2,518 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.