Back to Blog
Decision Guide

Best A/B Testing Tool for Growth Teams

Updated December 2026
10 min read
TL;DR

For growth teams: Use ExperimentHQ for marketing site experiments (landing pages, pricing pages) and PostHog or Statsig for product experiments (in-app features, onboarding). Most growth teams need two tools: one for quick visual tests, one for code-based experiments with feature flags.

Who this is for

  • Growth teams at startups and scale-ups
  • Product-led growth companies
  • Teams running 5+ experiments per month

Who this is NOT for

  • Early-stage startups (focus on product-market fit first)
  • Teams running <2 experiments per month

Tool by Use Case

Use CaseRecommended ToolWhy
Marketing site optimizationExperimentHQVisual editor, quick setup, no dev needed
Product experimentsPostHog/StatsigFeature flags, event tracking, user cohorts
Pricing experimentsServer-side toolConsistency, no price flashing
Onboarding optimizationPostHog/StatsigUser journey tracking, cohort analysis
Feature rolloutsLaunchDarklyGradual rollout, kill switches, targeting

Tool Comparison

ToolPriceSetup TimeFeature FlagsVerdict
ExperimentHQ$29/mo5 minBest for Marketing
PostHogFree - $450/mo30 minBest All-in-One
StatsigFree - Custom1 hourBest for Product
Amplitude ExperimentCustom2+ hoursBest with Amplitude
LaunchDarkly$10/seat/mo1 hourBest Feature Flags

The Growth Team Stack

Most high-performing growth teams use two tools:

1. Visual A/B Testing

For marketing site, landing pages, pricing pages

ExperimentHQ, VWO, or Convert

2. Product Experimentation

For in-app features, onboarding, feature flags

PostHog, Statsig, or LaunchDarkly

Our Recommendation

Marketing experiments: Use ExperimentHQ. 5-minute setup, visual editor, $29/month.

Product experiments: Use PostHog (all-in-one analytics + experiments) or Statsig (dedicated experimentation).

Feature flags only: LaunchDarkly is the gold standard, but PostHog and Statsig include flags too.

FAQ

Do I need feature flags for A/B testing?
Not for marketing site tests. Feature flags are useful for product experiments where you want to control feature rollouts, but overkill for testing headlines or CTAs.
How many experiments should growth teams run?
High-performing growth teams run 10-20 experiments per month. Start with 2-4 per month and scale as you build experimentation muscle.

Share this article

Ready to start A/B testing?

Free forever plan available. No credit card required.