About

PostHog

PostHog is an open-source product analytics platform built for engineering and product teams who want the full analytics stack — event analytics, session replay, feature flags, A/B experimentation, and surveys — in a single tool with transparent, usage-based pricing and no seat-based charges.

It is primarily used by software engineers, product managers, and data-forward teams at startups and scale-ups who value technical flexibility — the ability to self-host for data control, instrument via open-source SDKs, and pay only for what they actually use rather than a bundled SaaS subscription.

Teams choose PostHog for its open-source core and self-hosting option; its all-in-one toolset that replaces Mixpanel plus LaunchDarkly plus a separate A/B testing tool; its usage-based pricing with generous free tiers (1M events, 5K session recordings, 1M feature flag requests per month); and its developer-first instrumentation experience.<br><br>Over 90% of PostHog users stay on the free tier. Paid usage scales per product at transparent per-unit rates. The median paying customer spends around $54,000/year per Vendr data — but this reflects enterprise usage, not typical SMB spend.

About

Amplitude

Amplitude is a product analytics platform built for product, growth, and data teams who need sophisticated behavioral analysis — behavioral cohorts, predictive audiences, causal inference, and ML-powered retention modeling — alongside session replay, feature flags, and experimentation in a unified platform.

It is primarily used by product managers, growth engineers, and data analysts at SaaS companies, consumer apps, and digital businesses where product-led growth is a core strategy — teams that need to tie behavioral data to business outcomes at scale.

Teams choose Amplitude for its best-in-class behavioral cohort analysis and retention modeling; its Amplitude AI for predictive audiences and automated insight generation; its built-in experimentation with statistical significance controls; its Guides for in-app onboarding; and its data governance features for enterprise deployments.

Free tier: 10,000 MTUs and 2M events/month, including session replay and unlimited feature flags. Plus: $49/month (up to 300K MTUs). Growth and Enterprise: custom pricing; median contract $63,720/year per Vendr data.

Feature

PostHog

Amplitude

Lucky Orange

Product Analytics (funnels/retention/cohorts)

Yes

Yes

Limited

Session Replay

Yes

Yes

Yes

A/B Testing / Experimentation

Yes

Yes

No

Feature Flags

Yes

Yes

No

In-app Guidance

No

Yes

No

Surveys & Feedback

Yes

Yes

Yes

Data Warehouse Export

Yes

Yes

Limited

AI-Powered Insights

Yes

Yes

Yes

Open Source / Self-host Option

Yes

No

No

Free Plan

Yes

Yes

Yes

Behavioral cohorts and predictive models both leave the same question: what are those users actually doing?

PostHog and Amplitude both tell you what is happening at the cohort and aggregate level — which users retained, which churned, which features drove activation. That aggregate view is the foundation of good product decisions. But the jump from a retention curve to a confident next action still requires your team to interpret the data and form a hypothesis about what the individual session behind the number actually looked like.

Lucky Orange Discovery AI is built for that jump. Ask a plain-language question about the sessions behind your metrics — what users were doing when they dropped off, what patterns churned users share, what the most engaged users do differently — and get a structured answer with session evidence and a recommended next step.

Ask questions like:

  • What are users doing in their sessions right before they abandon the onboarding checklist?

  • Which product features are users interacting with most in the 48 hours before they upgrade?

  • What do users who churn in the first month do differently in their first session compared to those who stay?

See how Discovery AI works

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