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Fit criteria and fit score

LeadHunter ranks accounts by how well they fit what you’re looking for. Two words carry that idea everywhere in the product:

  • Fit criteria: the description of who you want to reach with a product, for one purpose (sales, press, partnership, recruiting…).
  • Fit score: how well one account matches those criteria, from 0 to 10, with a fit band and the reasons behind it.

One set of fit criteria per product and purpose

Section titled “One set of fit criteria per product and purpose”

Each product has one set of fit criteria per purpose. The sales criteria of a product describe its buyers; the press criteria of the same product describe the publications and journalists worth pitching. They are independent: editing one never touches the other.

The fit criteria hold:

PartWhat it says
Name and summaryWho you’re after, in a sentence or two.
IndustriesThe sectors (or editorial beats, specialties) that fit.
Roles (job titles)The people you’d talk to.
Pain pointsWhat would make them interested.
Company sizeEmployees, or audience size for publications.

You find them under Settings → Products: each product has a Fit criteria section with one line per purpose (version, Approved or Draft, last update). Click a purpose to open its fit criteria page.

You don’t have to write them yourself. Generate fit criteria drafts them with AI from the product’s description and website, plus any hints you give, one per line (“independent shops, not chains”). It takes under a minute; you can then edit any part, Save and Approve them (Save and approve when you edited first). Regenerate with AI writes them again, with optional hints. You can generate fit criteria from a campaign or straight from the product, without creating a campaign first.

Every scored account gets, for one product and purpose:

  • a score from 0 to 10;
  • a fit band: Strong fit (8–10), Good fit (6–8), Weak fit (4–6) or Poor fit (below 4);
  • two to four reasons, each marked positive, negative or neutral, written in your product’s language.

An account the AI couldn’t judge (no website, no description, no notes) is shown as Not scored yet, never as a poor fit.

The same score is used everywhere: the Fit column on Accounts, the account page, every campaign of that product and purpose that has no scoring brief of its own, and Today’s Best accounts to work next. Score an account once and it’s ranked in all of them.

Versions: knowing when a score is out of date

Section titled “Versions: knowing when a score is out of date”

Every time the fit criteria change (you edit them, regenerate them, or approve them with edits) they get a new version. Each fit score remembers the version it was scored with.

When the criteria move on, older scores are marked out of date: the fit score shows an old criteria badge (hover it to see which version made the score and which is current). They still show (an old score is better than none). A campaign’s Review tab tells you how many of its scores are out of date (“3 scores were made with older fit criteria”) with a Rescore button, which goes through the usual estimate and confirmation. The Versions list on the fit criteria page keeps what each version said (Show what it said), so you can compare what changed.

Scores from before versions existed (October 2026) count as version 1.

A campaign can add a scoring brief on top of the fit criteria: a few lines that tilt the ranking for that campaign only (“weight shops with a workshop heavily”).

A campaign with a brief keeps its own scores. Rescoring it with the brief never changes the scores other campaigns, the Accounts list or Today show, and rescoring those never changes its own. Campaigns without a brief all share the same scores, which is why rescoring one of them updates the others (the rescore dialog tells you how many).

Wherever a campaign with a brief has no score of its own yet (you just added the brief, or added accounts afterwards), it shows the shared score, marked out of date: it was made without the brief. The Rescore button for out-of-date scores rescores just those accounts with the brief, after the usual estimate. Clearing the brief brings the campaign back to the shared scores.

  • Rank scores any selection of accounts (a filtered Accounts list or a sample of it; agents can also send a list of accounts through the API) without a campaign, under a budget cap. The run checks its spend before every AI call (website lookups and scoring batches) and stops when the cap is reached. Calls already in flight finish, so the final spend can go a little over the cap, typically by less than one batch. Several chunks run in parallel, so the overshoot can be up to one call per running chunk. See Rank a list without a campaign.
  • Score remaining on a campaign scores its accounts that have no score yet. See Run your first campaign.

Both use the same scoring, show an estimate before they start, and record what they spent. Your own Shortlist and Not a fit decisions, made one account at a time, are fed back as examples to calibrate later scores; decisions made in bulk are not.