Hotjar vs PostHog

Hotjar and PostHog are both analytics options. Here's how they compare on official platforms, features, and positioning — sourced from each vendor's own site, not from ratings or reviews.

Side-by-side summary

ComparingHotjarPostHog

CategoryAnalyticsAnalytics

Alternatives tracked23

PlatformsWebWeb

Best for Hotjar

Positioned for product, design, and marketing teams who want to "deliver experiences that convert" by understanding user journeys and reducing drop-offs.

Best for PostHog

Product teams and developers at companies of any size wanting analytics, experimentation, and data infrastructure in one platform, with SDKs for Next.js, React, Python, and 20+ other frameworks/languages.

Feature comparison

Every feature listed here comes directly from each vendor's own official site.

Hotjar

Heatmaps (clicks, movement, scroll behavior)
Session recordings/replay
Funnels (conversion drop-off analysis)
Surveys with AI-powered summarization
User Tests and 1:1 Interviews
Integrations with Google Analytics, HubSpot, Optimizely

PostHog

Product analytics and web analytics
Session replay and heatmaps
Feature flags and no-code A/B testing experiments
Surveys for in-product feedback collection
Error tracking and AI observability (traces and logs)
Customer data platform (CDP) for routing event data to other tools
Managed data warehouse for querying product data

Pros and cons

Hotjar

Pros

Heatmaps (clicks, movement, scroll behavior)
Session recordings/replay
Funnels (conversion drop-off analysis)
Surveys with AI-powered summarization
User Tests and 1:1 Interviews
Integrations with Google Analytics, HubSpot, Optimizely

Cons

We don't publish a "cons" list for either product. No vendor's official site documents its own product's weaknesses, so there's no sourced basis for one — and we'd rather say that plainly than invent one.

PostHog

Pros

Product analytics and web analytics
Session replay and heatmaps
Feature flags and no-code A/B testing experiments
Surveys for in-product feedback collection
Error tracking and AI observability (traces and logs)
Customer data platform (CDP) for routing event data to other tools
Managed data warehouse for querying product data

Cons

Key differences

Hotjar lists Heatmaps (clicks, movement, scroll behavior), Session recordings/replay, Funnels (conversion drop-off analysis), Surveys with AI-powered summarization, User Tests and 1:1 Interviews, Integrations with Google Analytics, HubSpot, Optimizely that PostHog doesn't list.
PostHog lists Product analytics and web analytics, Session replay and heatmaps, Feature flags and no-code A/B testing experiments, Surveys for in-product feedback collection, Error tracking and AI observability (traces and logs), Customer data platform (CDP) for routing event data to other tools, Managed data warehouse for querying product data that Hotjar doesn't list.

Choose Hotjar if…

Choose Hotjar if this fits: Positioned for product, design, and marketing teams who want to "deliver experiences that convert" by understanding user journeys and reducing drop-offs.

Choose PostHog if…

Choose PostHog if this fits: Product teams and developers at companies of any size wanting analytics, experimentation, and data infrastructure in one platform, with SDKs for Next.js, React, Python, and 20+ other frameworks/languages.

Facts on this page are sourced from each vendor's official site (linked below), not from ratings or reviews. Products change — verify anything that matters to your decision directly on the vendor's own site before switching. See our Disclaimer and Sources Policy.