How we score buyer intent from 0 to 100
Jul 28, 2026 8 min read
A walk through the scoring pipeline: what the model reads, what it deliberately ignores, and why the number is a ranking tool rather than a verdict.
Every new post in a watched group goes through the same three steps before it reaches your feed, and none of them involve a keyword list. This is the part vendors usually describe as 'proprietary AI', which is a phrase that means 'please stop asking'. Here is the actual pipeline.
1. Strip the noise
Reposts, link drops, and the group's own moderation notices are dropped first. This is roughly 40% of the volume in a busy group and none of it is a lead.
2. Read for intent
What survives is scored on four axes: is a task being described, is there a constraint, is the author asking to be contacted, and how specific is the ask. The axes are weighted and collapsed into one 0–100 number.
3. Rank, don't judge
The score exists to order your feed, not to decide for you. An 82 in a group of forty people is often a better lead than a 95 in a group of forty thousand, which is why the feed shows both the score and the group size.
What each axis contributes
| Axis | Question it answers | Example that scores high |
|---|---|---|
| Task | Is work being described? | “need our kitchen cabinets redone” |
| Constraint | Is there a date, budget or location? | “before the 14th”, “budget ready” |
| Contact | Are they asking to be reached? | “DM me”, “who should I call” |
| Specificity | How precise is the ask? | Named platform, size, deliverable |
Why the score is deliberately not a verdict
A score is only ever a ranking device. The same 82 means something different in a 40-member local group than in a 40,000-member national one, which is why the feed shows group size next to the number. Treating the score as a yes/no throws away the context that makes it useful — the same argument applies to any lead scoring system.
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