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Enterprise Small AI Models: Custom Training and Integration / Research & Credit Scoring / Creator Credit Scoring
Research

Creator Credit Scoring

Two creators, both at 50,000 followers, both at a 5% engagement rate. One comment section is people asking where to buy and tagging friends. The other is emoji. A rate card cannot tell those apart. A credit score can.

Part of Research & Credit Scoring

Research

The challenge brands face

Follower count survives as the default currency because it is the easiest number to put in a deck, and engagement rate survives as the sophisticated alternative because it looks like a correction. It is not much of one. Engagement rate counts reactions without reading them, so a creator with a large, passive, half-inherited audience can post the same percentage as one whose audience actively asks questions and buys.

The cost lands twice. First on campaigns that reach plenty of people and convert none of them, which is easy to blame on the creative. Second on timing: by the time a creator is famous enough to feel safe to book, the rate has already repriced. The window when a creator is affordable and their community is compounding is exactly the window follower count cannot see, because the number is still small.

Why this matters now

Indonesia's creator pool has grown far past the point where a manual scroll can cover it, and the engagement gap between small and large accounts is wide — industry data puts nano creators under 1,000 followers around seven times higher in engagement rate per follower than accounts above 100,000. That gap is only useful if you can tell which small accounts are the right ones, which is a measurement problem, not a scrolling problem.

Research

Our approach

  1. 1

    Map posts against comments

    We correlate what a creator publishes with what their audience writes back. On the post side: content themes, keyword frequency, posting velocity, and reach growth. On the comment side: question patterns, recurring community vocabulary, emotional tone, complaints, and peer-recommendation phrases. The relationship between the two is the signal — which topics a creator posts that reliably produce high-intent responses.

  2. 2

    Score four components

    Growth velocity tracks whether engagement is accelerating rather than merely large. Community density measures how many of the same people keep returning across posts and whether commenters follow each other. Comment intent classifies responses into purchase signals, questions, peer recommendations, and passive reactions. Brand fit compares all of it against your category vocabulary and target audience. The components stay visible in the score, so a shortlist can be argued with rather than trusted blindly.

  3. 3

    Hand over a shortlist you can act on

    You receive creators ranked by score, each with the reason attached and the content angle their audience responds to. Where the same audience clusters appear across several creators, we flag the overlap — that is a community, and entering it usually beats booking one name inside it. Coverage spans TikTok, Instagram, X, and Threads.

Research

What you receive

  • A credit score per creator with its component breakdown, so you can see why one ranks above another
  • A growth velocity reading that separates creators on the way up from creators who are simply already big
  • A community density measure showing how many of the same people return across posts
  • Comment intent classification: purchase signals, questions, peer recommendations, and passive reactions
  • A ranked shortlist with the content angle each audience responds to and the overlaps between creators

Research

How we prove progress

Every engagement is measured against numbers you can check yourself.

  • Credit score per creator with component breakdown
  • Growth velocity and community density
  • Comment intent mix, including purchase signals
  • Cross-creator audience overlap

Research

Who this is designed for

  • Brands running KOL campaigns that cannot explain afterwards why one creator worked and another did not

  • Teams entering a new category who need creators before the category gets expensive

  • Marketers told to justify influencer spend with something firmer than reach

  • UMKM with a small budget that has to land on the right nano and micro creators

Research

What to expect

Outcome

You pay for creators whose audiences ask questions and buy, and you find them before their rate card catches up.

An honest timeline

Scoring needs enough collected posts and comments to be stable, so a first shortlist usually takes one to two weeks depending on category size and how many platforms you want covered.

Research

Questions: Creator Credit Scoring

What is Creator Credit Scoring?

Creator Credit Scoring ranks creators on observed audience behaviour instead of follower count. Each creator gets a score built from four components — growth velocity, community density, comment intent, and brand fit — derived from mapping their posts against their comment sections. The name is deliberate: it works like a lender scoring a borrower on repayment history rather than on appearances.

Why is engagement rate not enough to pick a creator?

Engagement rate counts reactions without reading them. Two creators can both sit at 5% while one comment section is full of purchase questions and the other is full of emoji. Comment intent classification separates those cases by sorting responses into purchase signals, questions, peer recommendations, and passive reactions — the difference that decides whether a campaign converts.

Which platforms do you score creators on?

TikTok, Instagram, X, and Threads. Scoring runs per platform and across them, because a creator can hold a dense, high-intent community on one surface and a passive audience on another. Cross-platform overlap also reveals when the same community follows several creators at once.

Can this find creators before they get expensive?

That is what growth velocity is for. It measures whether engagement is accelerating rather than how big it already is, so a creator at 15,000 followers with three months of rising engagement outranks one at 200,000 with a flat chart. Those are the accounts whose rate card has not caught up with their community yet.

How long does a first creator shortlist take?

One to two weeks, depending on category size and how many platforms you want covered. The scoring needs enough collected posts and comments before the components are stable — growth velocity in particular is a trend, so it needs a window of history rather than a single snapshot.

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