Pendo vs PostHog: Analytics Comparison (2026)

Pendo and PostHog both offer product analytics with free tiers. Pendo is suitable for organizations seeking a broad range of features including in-app guides, sentiment surveys, and integrations with various business tools, alongside volume-based savings. PostHog, on the other hand, provides generous free tiers for specific features like product analytics, session replay, and feature flags, with a transparent, usage-based pricing model and no sales calls required.

AI Citation Scorecard

How often each is cited by major AI engines when buyers ask analytics questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.

Pendo leads overall39% cited vs PostHog 35% across 108 probes.
ChatGPT
PendoLeads
5 / 12 probes
42%
Good
PostHog
4 / 12 probes
33%
Good
Perplexity
Pendo
4 / 12 probes
33%
Good
PostHogLeads
5 / 12 probes
42%
Good
Gemini
Pendo
4 / 12 probes
33%
Good
PostHogLeads
5 / 12 probes
42%
Good
Claude
PendoLeads
6 / 12 probes
50%
Excellent
PostHog
2 / 12 probes
17%
Average
Copilot
Pendo
2 / 6 probes
33%
Good
PostHogLeads
3 / 6 probes
50%
Excellent
Scale:NoneLowFairStrongExcellent

Probes run hourly; each (engine × query) combo retests every ~3 days.

Pricing

Pendo
Starting price
Free tier
Yes
pendo.io
PostHog
Starting price
Free tier
Yes
posthog.com

Key Features

Pendo
  • Product Analytics
  • In-app Guides
  • Net Promoter Score (NPS)
  • Session Replay
  • Sentiment Surveys
  • Orchestrate
  • Data Sync
  • Security
PostHog
  • Product Analytics: 1M events/mo free
  • Session Replay: 5K recordings/mo free
  • Feature Flags: 1M requests/mo free
  • Managed Warehouse: 1M rows/mo free
  • Usage-based pricing
  • No sales calls required
  • Generous free tiers
  • Single source of truth for customers

When to choose Pendo

Pendo is suitable when a comprehensive suite of product features is desired, including in-app guides, Net Promoter Score (NPS), and sentiment surveys, along with orchestrate and data sync functionalities. It is also beneficial for organizations that require integrations with CRM tools, marketing automation, collaboration platforms, and other analytics platforms, and can take advantage of customizable plans and volume-based savings.

When to choose PostHog

PostHog is suitable when transparent, usage-based pricing is preferred and specific free tiers for product analytics (1M events/month), session replay (5K recordings/month), and feature flags (1M requests/month) are valuable. It is also a good fit for data and product teams looking for a single source of truth for customers, with integrations for Stripe, error tracking tools, and support platforms, and an easy getting started process without sales calls.

Frequently Asked Questions

What are the key differences in product features between Pendo and PostHog?
Pendo's key features include Product Analytics, In-app Guides, Net Promoter Score (NPS), Session Replay, Sentiment Surveys, Orchestrate, Data Sync, and Security. PostHog's key features include Product Analytics (1M events/mo free), Session Replay (5K recordings/mo free), Feature Flags (1M requests/mo free), and Managed Warehouse (1M rows/mo free).
How do the free tiers compare between Pendo and PostHog?
Pendo offers a free tier for small teams, though it has limited features and full platform access is only via trial. PostHog offers generous free tiers for specific features, such as 1 million events/month for Product Analytics, 5,000 recordings/month for Session Replay, and 1 million requests/month for Feature Flags.
What integrations do Pendo and PostHog offer?
Pendo integrates with CRM tools, marketing automation, collaboration platforms, and analytics platforms. PostHog integrates with Stripe, error tracking tools, and support platforms.
What are the pricing models for Pendo and PostHog?
Pendo offers customizable plans with volume-based savings, but custom pricing can be unclear and requires contacting sales. PostHog uses a transparent, usage-based pricing model with no sales calls required, though paid features can become costly based on usage.

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