Also known as: Whitelist, Blacklist, Allowlist / Blocklist
Whitelisting and blacklisting are the practice of restricting a campaign to only proven-good traffic sources (the whitelist) or explicitly blocking known-bad ones (the blacklist). They are the core levers for controlling traffic quality on programmatic and native buys.
On open native and programmatic networks, a single campaign is served across thousands of publisher placements of wildly varying quality. A partner starts broad to gather conversion data, letting each placement accumulate enough clicks and FTDs to judge it fairly. Placements that produce clicks but no conversions, or that trip fraud signals, are added to the blacklist so the campaign stops buying them.
As the data matures, the partner inverts the approach: they identify the small set of placements that drove almost all the profitable conversions and build a whitelist, restricting spend to only those sources. This concentrates budget on winners and sharply cuts cost per acquisition. Because the broker pays only for genuine, low-fraud conversions, a disciplined whitelist also keeps the partner's traffic clean enough that the broker keeps the deal alive.
Run across the full inventory to collect performance data per placement.
Track clicks, conversions and fraud signals down to the individual site or source ID.
Block placements that produce clicks but no FTDs, or that show fraud patterns.
Isolate the placements that drove the bulk of profitable conversions.
Restrict spend to the proven placements once the data is statistically meaningful.
Periodically re-test blacklisted sources and prune whitelist decay.
Why it matters for partnership: On open networks, most placements lose money and a few carry the campaign. Building a whitelist of profitable placements and blacklisting fraudulent or non-converting ones is how a partner turns a break-even buy into a profitable, low-fraud one the broker will keep paying for.
After two weeks on a native network, an affiliate blacklists 60 low-quality sites that produced clicks but no FTDs, and whitelists the 12 sites that drove all the conversions, cutting cost per acquisition sharply.
| Aspect | Whitelist | Blacklist |
|---|---|---|
| Logic | Allow only these sources | Block these sources |
| Default state | Everything else is excluded | Everything else is allowed |
| Best when | Winners are known and few | Bad sources are known, exploring the rest |
Start broad to gather data, then aggressively blacklist non-converting placements and rebuild spend around a tight whitelist.
Whitelisting too early on thin data and locking out placements that had not yet had a fair chance to convert.
Once you have enough conversion data per placement to distinguish real performers from noise, usually after a deliberate testing phase.