Tools for managing A/B tests

The problem, in plain words: “I need a single place to track every A/B test across multiple clients, including each experiment's stage and final results.”

GrowthBook fits best, with 2 more that fit too.

You need a single, central place to log and monitor A/B experiments across multiple clients, tracking each experiment's stage and storing final results.

Updated July 2026.

What fits

GrowthBookstrong · 88

GrowthBook's primary purpose is A/B experimentation and feature-flag driven tests, so it serves as a central place to create, run and record experiments; teams commonly use it to view experiment results and manage experiments over time.

Best for: Consultants or teams that want an experimentation-first platform to run and record tests across projects and clients.

PostHogstrong · 86

PostHog is built to run experiments and product analytics in one place, so it can record experiment lifecycle, capture results alongside behavioral metrics, and centralize data across multiple projects or clients.

Best for: Growth consultants who want experiments and analytics together so results are stored with the underlying user behavior data.

Caveat: An account is required before you can use it.

ConvertCROstrong · 80

ConvertCRO's core offering is running A/B tests and analyzing results for agencies and startups, so it directly covers logging experiments, viewing their status and reviewing final analysis—making it suitable as a centralized experiment repository for multiple clients.

Best for: Agencies and consultants who run A/B tests for clients and need an experiments-and-results workflow in one product.

Caveat: An account is required before you can use it.

Partly fits

Client Portal Managerpartial · 68

Designed as a single workspace for freelancers and small agencies to manage client work, it can centralize project records and files across clients but is not specialized for A/B experiment lifecycle and statistical results.

Won’t cover: Acts as a general client project portal rather than an experimentation-first tracker that records experiment stages and analysis natively.

ClientSignalpartial · 66

ClientSignal focuses on automating client reports by pulling ad and web platform data, so it helps consolidate results into white-labeled reports for clients but is focused on scheduled reporting rather than serving as an experiments registry with stage tracking.

Won’t cover: Oriented toward scheduled, white-labeled reporting from ad/analytics sources rather than acting as a centralized experiment log with lifecycle stages.

mloppartial · 45

mlop's primary purpose is experiment tracking for machine-learning workflows, including metrics and parameter tracking, so it provides rigorous experiment recording—but it is targeted at ML engineers rather than marketing/growth experiments across clients.

Won’t cover: Built for ML experiment metrics and model training workflows rather than A/B testing across marketing or product experiments for multiple clients.

Questions

What's the best tool for managing A/B tests?

GrowthBook is the strongest match — GrowthBook's primary purpose is A/B experimentation and feature-flag driven tests, so it serves as a central place to create, run and record experiments; teams commonly use it to view experiment results and manage experiments over time.

Is there a tool that fully solves this?

3 products match this closely.

What won't these tools cover?

Acts as a general client project portal rather than an experimentation-first tracker that records experiment stages and analysis natively. · Oriented toward scheduled, white-labeled reporting from ad/analytics sources rather than acting as a centralized experiment log with lifecycle stages. · Built for ML experiment metrics and model training workflows rather than A/B testing across marketing or product experiments for multiple clients.

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