A Playbook for Reducing Routing False Positives

Record the source, market, device, network context, time range, expected destination, and evidence that the visit belonged to the intended audience. This boundary keeps the investigation from treating every White Page decision as an error.

Use controlled visits when possible and preserve example event identifiers from reported incidents. Compare successful and failed sessions that differ in one meaningful attribute to expose the likely deciding rule.

Inspect manual filters, allowlists, risk thresholds, missing fields, and score reasons in the order the flow applies them. Several weak conditions may explain the outcome even when no single rule appears wrong.

Prefer a scoped source exception, corrected value, or measured threshold adjustment over a global bypass. State the expected improvement and the unwanted traffic case that must remain controlled.

Replay legitimate fixtures and deliberately adverse cases, then monitor the affected segment for renewed false positives and new false negatives. Roll back when the acceptance criteria fail and retain the evidence for the next iteration.