A/B Testing Protection

Keep A/B Test Results Clean

Score IP reputation, proxy use, device/session signals, behaviour, and experiment context before sessions enter results, so invalid traffic is logged or excluded before it contaminates variant readouts.

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Invalid Sessions Distort Experiment Readouts

A bot session is not just another analytics row. Once it lands in a variant, it can inflate exposure, create false conversion paths, and make one treatment look better or worse than it is.

Variant Contamination

Automated sessions create exposure, engagement, and conversion events that do not belong to a real participant.

Unclear Exclusion Rules

Teams need to know whether suspicious sessions were allowed for observation, logged for review, or excluded from analysis.

Unreliable Winners

A contaminated sample can turn a noisy or biased result into a confident but wrong product decision.

A/B testing traffic quality score combining IP, proxy, device, behaviour, and experiment context to exclude invalid sessions.

A/B testing protection workflow routing experiment risk signals to allow, log, exclude, or block actions.

Filter Traffic Before It Reaches the Result Set

Peakhour A/B Testing Protect keeps the risk decision attached to the experiment session: valid users continue, suspicious sessions can be logged, and invalid sessions can be excluded from the readout.

Invalid Session Detection

Identify automation that mimics human behaviour using network fingerprinting, device/session evidence, and behavioural analysis.
Residential Proxy Protection

Detect distributed traffic using residential IPs to enter experiments as apparently independent users.
Experiment-Aware Decisions

Preserve the variant, score, contributing signals, and log or exclude action for analysis teams.

Follow the Decision From Session to Readout

Experiment teams need a consistent record of what happened before the result is trusted. Peakhour links the suspicious session, assigned variant, risk evidence, and action so analysts can separate observation from exclusion.

Session Bot, proxy, and device evidence Signals scored before analysis

Variant Assigned treatment preserved Contamination risk stays visible

Decision Log or exclude Policy action attached to the session

Readout Cleaner experiment result Analysis reflects valid participants

Peakhour score evidence showing how a suspicious experiment session is reviewed before it is logged or excluded from A/B test analysis. — Risk score, session signals, and action trail

Invalid traffic identified before readout Session quality

Contamination risk kept with the assignment Variant integrity

Log and exclude choices remain reviewable Analysis decision

The result is an experiment readout that makes clear which sessions counted, which sessions were observed only, and which sessions were excluded.

Key Benefits of Protected A/B Testing

Cleaner Experiment Cohorts

Keep automated and proxy-backed sessions from blending into valid variant populations.

Reviewable Exclusion Logic

Show analysts why a session was allowed, logged for observation, or removed from the experiment result.

Reliable Readouts

Make rollout decisions from participant behaviour instead of contaminated exposure and conversion data.

Related evidence

Experiment Traffic Protected in Production

Customer examples that connect Peakhour controls to production outcomes.

Gumtree

Improving Traffic Quality and Reclaiming Platform Control

Gumtree, Australia's leading marketplace, battled significant bot traffic that skewed analytics, enabled scammers, and increased infrastructure costs. Peakhour's bot management solution improved the origin traffic mix, cleaned up campaign analytics, protected A/B testing data, and created a new revenue stream.

3.3x Cleaner Origin Mix Clean Campaign Analytics New Revenue Stream Created

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The useful A/B testing signal is the link between the session, the variant, and the decision to count, log, or exclude it. Without that link, a clean-looking winner can still be contaminated.

Peakhour A/B Testing Protect, Experiment Integrity Evidence