Mixpanel vs Human Behavior

A side-by-side look at what Mixpanel and Human Behavior publish about pricing, plans and features.

This page sets the two products' recorded data side by side. It is not an editorial review — nobody has tested either product for this page, and the figures below are not independently verified. Read how we handle data and what each label means.

Values as recorded in this guide. Where a figure carries no source, it is marked unverified — confirm on the vendor's own pages before acting on it.
FieldMixpanelHuman Behavior
CategoryAnalyticsAnalytics
Entry price$24/moNot published
Free planYesNo
Free trialYesNo
Tagged forStartupsStartups
G2 rating unverified4.6 / 5
Capterra rating unverified4.5 / 5
ProductHunt 276
From ProductHunt, checked 31 Aug 2026

Where they differ

  • Mixpanel lists a free plan; Human Behavior does not.
  • Human Behavior does not publish an entry price; pricing is quote-based.
  • Mixpanel lists a free trial; Human Behavior does not.

Head to head

Mixpanel

Mixpanel answers product questions Google Analytics struggles with: which features drive retention, where funnels leak, how cohorts behave over weeks. Its funnels, retention curves and cohort tools are fast and genuinely self-serve for product managers. Getting value depends on a disciplined event taxonomy — bad instrumentation yields confident-looking nonsense — and costs rise with event volume, so teams should design their tracking plan before, not after, adopting it.

Reported strengths

  • Great event analytics
  • Free tier
  • Fast UI

Reported drawbacks

  • Setup effort
  • Costly at volume

Human Behavior

Human Behavior, based in San Francisco, CA, develops a vision AI platform that analyzes user web session replays to provide companies with deep insights into product interaction, conversion, and churn. The platform helps product teams identify bugs and understand user behavior without manual effort, aiming to evolve into automated QA and support tools. It was founded in 2025 by Amogh Chaturvedi, Skyler Ji, and Chirag Kawediya.

Reported strengths

  • Automates analysis of session replays
  • Offers deep insights into user behavior
  • Identifies bugs without manual effort

Reported drawbacks

  • No public pricing available
  • Relatively new company (founded 2025)
  • Limited public reviews and ratings