Help Center / Uploads & Scoring / Managing blacklists and allowlists

Managing blacklists and allowlists

Curate your own lists of known-bad emails, phones, IPs, and names, and auto-flag matches on future uploads.

A blacklist is a list of values you already know are bad — a phone number from a confirmed fraud case, an email an affiliate keeps reusing, an IP you've seen abuse a different offer. Once a value is on a blacklist, checking that blacklist on a future upload flags any lead that matches it, straight to High risk. Find them under Settings → Lists. An allowlist works the same way in reverse: a list of trusted values — a VIP affiliate, verified test traffic — where a match scores Low instead. Use + New allowlist to create one, and everything below applies to both kinds. If a lead matches both a blacklist and an allowlist, the blacklist wins.

Creating a blacklist and adding data

  • Click + New blacklist (or + New allowlist) and give it a name — Master, Finance, and Education are common ways to split them up, but any name works.
  • Click Upload data, pick a CSV, and map whichever columns you have (email, phone, IP, name — none are required, but map at least one).
  • Check the box for every blacklist that CSV should be added to, or type a new blacklist name to create one on the spot.

Uploads are additive — they never replace a blacklist's existing entries. Duplicates (a value already on that blacklist, or repeated within the same file) are skipped automatically, and the upload summary shows exactly how many were skipped per field, expandable to the exact values.

Checking a blacklist against new leads

Blacklist checking happens on a per-upload basis, not automatically for every upload. When you upload a new lead CSV, after mapping columns you'll see a "Check against a list?" step listing your blacklists and allowlists as checkboxes — nothing is checked by default, and the step is skipped entirely if you don't have any blacklists yet. Whichever you check last is remembered for next time, so it's a one-click confirm rather than a re-ask.

A match forces that lead straight to High risk regardless of what the other scoring rules found — see How fraud scores are calculated for how blacklist match fits alongside the other rules.

Managing entries

Open a blacklist to see its entries in a searchable, sortable table — filter by type or status, bulk enable/disable or delete, and export to CSV. Each entry also shows how many leads it has caught and when it last caught one (counted from uploads scored after this feature launched). Disabling an entry (rather than deleting it) keeps it on the list but excludes it from matching, useful if a value turns out to be a false positive without losing your original record of it.

Name matching is the riskiest of the four value types, since real people share names — treat a name-only match as a reason to double-check, not as certain as an email, phone, or IP match.

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