Comparisons and selection

A Traffic Filtering Platform Comparison Framework

A fair comparison uses the same request fixtures and acceptance rules across candidates, then separates verified facts from assumptions.

Build a weighted requirement set

Split requirements into signal collection, policy expression, response delivery, event evidence, integrations, and administration. Weight each item by campaign consequence so a missing diagnostic field cannot be disguised by several low-value conveniences.

Design platform-neutral scenarios

Describe visits in observable terms: country mismatch, known CIDR, mobile WebView, datacenter ASN, absent referrer, or repeated click window. Avoid vendor feature names, because they bias the scenario toward one implementation.

Execute the same matrix everywhere

Configure equivalent flows, preserve destination pages, and capture the actual result with its reason. If a platform cannot express a scenario directly, document the workaround and the ongoing maintenance it creates.

Score explanation quality separately

Two candidates may route the same fixture correctly while offering very different diagnostic value. Grade whether an operator can find the event, see relevant inputs, identify precedence, and understand why another destination was not chosen.

Publish a bounded conclusion

State the traffic model, plan tier, date, exclusions, and unresolved cases behind the score. The result should recommend a fit for that workload, not claim a universal winner beyond what the test demonstrates.

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