Adobe Target A/B Testing

A/B Testing That Systematically Lifts D2C Conversion.

Random A/B tests produce random results. A systematic programme — rigorous hypotheses, correct statistical design, disciplined analysis — produces compounding conversion improvement. Our practice builds and runs that programme.

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Hypothesis DevelopmentStatistical DesignSample SizeMVTAllocation RulesWinning CriteriaPost-Test AnalysisSegment BreakdownTest VelocityLearning AgendaHypothesis DevelopmentStatistical DesignSample SizeMVTAllocation RulesWinning CriteriaPost-Test AnalysisSegment BreakdownTest VelocityLearning Agenda
Adobe Target A/B Testing

Systematic Experimentation That Compounds D2C Growth

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Hypothesis Library
Structured hypotheses from heuristic analysis, analytics data, user research, and competitor benchmarking — every test grounded in evidence.
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Statistical Test Design
Correct sample size, traffic allocation, test duration, and winning criteria — preventing underpowered tests and premature conclusions.
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A/B & MVT Management
Full test management in Adobe Target — activity configuration, audience targeting, experience creation, QA, launch, monitoring, and analysis.
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Post-Test Analysis
Rigorous analysis including statistical significance, practical significance, segment breakdown, and interaction effects — maximum learning from every test.
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Test Velocity
Process optimisation for maximum testing velocity — from hypothesis to live in minimum time, more tests per quarter, faster compounding improvement.
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Knowledge Base
Test result documentation — winning patterns, losing hypotheses, and learnings — building institutional knowledge for progressively better tests.
15%
Average conversion lift from systematic A/B programmes
2 weeks
Average time from approved hypothesis to live test
8–12
Tests run per month for high-velocity programmes
100%
Statistically valid results from our methodology

Frequently Asked Questions

Scale D2C delivers end-to-end Adobe Target A/B Testing services — strategy, implementation, configuration, custom development, third-party integrations, user training, and ongoing managed support. Our certified Adobe practitioners have completed Adobe Target A/B Testing deployments across D2C, retail, and enterprise brands.

A standard Adobe Target A/B Testing implementation takes 8–16 weeks depending on integration complexity, data migration scope, and customisation requirements. Scale D2C uses a phased delivery model — Discovery → Architecture → Build → QA → Go-Live — with stakeholder gates at each stage.

Yes. Scale D2C manages full Adobe Target A/B Testing migrations including data mapping, historical data transfer, redirect management, UAT, and parallel-running validation to ensure complete continuity of reporting and operations during the transition.

Scale D2C is an Adobe Solution Partner with certified practitioners across Adobe Experience Cloud products. We maintain direct relationships with Adobe's technical and product teams, giving clients access to roadmap previews, beta features, and priority support escalation.

Total Adobe Target A/B Testing cost comprises Adobe licensing, implementation fees, integration development, and ongoing support. Scale D2C provides a transparent, itemised cost model for your specific scope on our discovery call — covering all three components clearly, with no hidden fees.

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Build an A/B Testing Programme That Systematically Grows Conversion

One good test lifts conversion 10%. A systematic programme compounds that advantage permanently.

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