Build an Influencer Conversion-Readiness Scoring Tool

1. 1

   Define the score before the software

   Draft a rubric from signals you can defend: ratio of purchase-intent comments (where do I buy this) to generic praise, consistency of affiliate or storefront activity, audience-creator niche match, and how the audience behaves on link posts versus entertainment posts. Write down what each signal is a proxy for, because buyers will ask.

2. 2

   Collect data the platforms allow

   Work from public pages, official APIs where available, and data creators share themselves; scraping against platform terms puts the whole business on sand. A creator-side free audit (see your own conversion score) is both a data source and a marketing loop.

3. 3

   Validate against real campaign outcomes

   Partner with two or three brands or agencies willing to share past campaign results, and test whether your scores would have predicted the winners. Publish the honest correlation, including the misses. A validated middling score beats an unvalidated impressive one in every sales conversation.

4. 4

   Sell reports before dashboards

   Start with paid one-off vetting reports (score this shortlist of twenty creators before we spend) at a price that undercuts one wasted campaign. Reports teach you what buyers actually read; the subscription dashboard comes after you know.

5. 5

   Serve honest creators too

   High-converting small creators are this model's biggest beneficiaries: a strong score is their rate-card leverage. A creator tier that verifies performance and generates a shareable scorecard adds the other side of the market and compounds your data.

6. 6

   Publish the industry's uncomfortable numbers

   Aggregate, anonymized findings (follower count versus conversion score across a niche) are press-worthy precisely because they cut against the industry's incentives. That contrarian data earns the citations and inbound interest that a me-too analytics tool never gets.

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