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KOL profile scoring aggregates a creator’s call history into a single 0–100 profile score plus a tier (S–D). The goal: separate one-hit wonders from consistent performers.

Overview (0–100)

A KOL’s profile score is built from five components:
  • Performance (0–40)
  • Risk (0–20)
  • Track record (0–20)
  • Influence (0–10)
  • Legitimacy (0–10)
This mix is intentional:
  • performance matters most
  • risk and consistency matter almost as much
  • influence and legitimacy help contextualize the profile

Component details

Performance (0–40)

Measures outcomes across calls, using call scores as the raw material. Typical signals include:
  • average overall score
  • distribution of medals / strong calls vs weak calls
  • consistency across multiple calls

Risk (0–20)

Penalizes “prints but nukes followers” patterns. Typical signals include:
  • drawdown behavior after calls
  • frequency of low-scoring calls
  • “red rate” patterns (many weak outcomes)

Track record (0–20)

Rewards reliability over time. Typical signals include:
  • number of tracked calls (sample size)
  • recency and sustained activity

Influence (0–10)

Adds light context without letting audience size dominate. Typical signals include:
  • reach proxies (e.g., follower size bands)
  • repeat visibility / distribution patterns
Influence is intentionally capped to avoid a “bigger account always wins” outcome.

Legitimacy (0–10)

Adds basic credibility / sanity checks, such as:
  • account age
  • follower-to-following ratio
  • verification status (where applicable)

Tier mapping

  • S: 85+
  • A: 70+
  • B: 55+
  • C: 40+
  • D: below 40

How to use profile tiers (fast)

  • S / A: generally reliable signal (still check the latest calls)
  • B: mixed; can have good calls but needs scrutiny
  • C / D: high variance / low reliability; treat as entertainment until proven otherwise

Why it matters

A KOL with one great call should not outrank a consistent performer. Profile scoring combines performance, risk, activity, and legitimacy so:
  • consistent performers rise over time
  • high-risk patterns become visible
  • followers have a faster way to choose who deserves attention