“### 3. VWO — best for marketing teams”
“- Visual website editor.”
“- A/B and split-URL testing.”
“- Conversion tracking.”
“- Audience segmentation.”
“- Experiment reporting.”
“Why I'd choose it: Marketing teams can experiment with headlines, layouts, pricing presentation and CTA buttons without depending on developers for every change.”
“You can also use the VWO A/B Test Sample Size Calculator to estimate the duration of individual experiments.”
“Its plans are tiered, so check the pricing against your actual monthly experimentation traffic.”
“### 1. PostHog — my first recommendation”
“Analytics and experimentation together”
“- A/B testing and feature flags.”
“- Conversion funnel analysis.”
“- User-level behavioural analytics.”
“- Session recordings.”
“- Bayesian and frequentist statistical approaches.”
“- Integration with existing product analytics.”
“Pricing: PostHog currently includes 1 million feature-flag requests monthly at no charge, with usage-based billing beyond that.”
“Why I'd choose it: You can understand not just whether a pricing-page variation increased conversions, but also what visitors did afterwards.”
“PostHog has useful guidance on sample sizes and test duration, including how to avoid prematurely stopping experiments.”
“### 2. GrowthBook — best for technical flexibility”
“- A/B testing and feature flags.”
“- Cloud-hosted or self-hosted deployment.”
“- Integration with data warehouses.”
“- Bayesian and frequentist testing.”
“- Advanced experimentation capabilities.”
“Pricing: Its cloud Starter plan is free for up to three users, with unlimited experiments and traffic.”
“Why I'd choose it: Particularly good if you have developers who can implement experiments and want control over your data and infrastructure.”