How do I choose an A/B testing consultant?

Direct Answer

Prioritise consultants who blend experimentation strategy, implementation, and analytics. They should own the backlog, deliver test-ready code, and report impact without handing you raw spreadsheets.

Evaluation Criteria

Look for three signals: (1) a repeatable experimentation framework—roadmaps, prioritisation models, QA checklists; (2) platform fluency (Optimizely, VWO, LaunchDarkly, server-side switches); and (3) the ability to tie uplift to business metrics. Our playbooks outline the cadence we run: weekly launches, fortnightly retros, quarterly programme audits.

Example Decision Matrix

When advising a fintech scale-up, we compared three vendors. The winning team supplied case studies with QA discipline, offered ES5-compliant snippets for legacy stacks, and embedded analysts to validate uplift. That end-to-end ownership saved the client two internal hires and added 18% to trial-to-paid conversion.

Takeaway & Related Answers

Ask your shortlist to demo a recent test, including backlog rationale and post-test analysis. Favour consultants who can prove lift using your instrumentation rather than their proprietary dashboards.

• See the 18% trial-to-paid case study
• What does an AI consultant hourly rate include?