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.
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.
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.
Our Approach
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.
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.
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.
What You Receive
How We Prove Progress
During the optimization period — before conversions fully materialize — these are the metrics we use as proof that the strategy is moving in the right direction.
Who This Is Designed For
This service works best 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
What to Expect
You pay for creators whose audiences ask questions and buy, and you find them before their rate card catches up.
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.
Questions About 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.
Interested? Let's Talk.
We start with a short conversation — no template pitch, no generic proposal. We want to understand your brand first.
Or WhatsApp us: +62 819-7712-1092