FullStory vs PostHog

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-08
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FullStory or PostHog: which should you choose?

DimensionFullStoryPostHog
PricingCustom pricingFree plan · usage-based paid tier
Best forMid-to-large product teams needing session replay plus funnels to find and fix drop-off, Engineering teams debugging errors with console telemetry and rage-click evidenceProduct engineers who want analytics, replay, flags, and error tracking under one signup, Startups replacing Mixpanel, Amplitude, and LaunchDarkly with one usage-based bill
Standout featuresSession Replay with tabbed browsing to compare sessions side by side · AI-powered Fullcapture records every interaction with private data excluded by default · StoryAI answers behavior questions in plain language and generates AI session summariesProduct analytics with events, funnels, and dashboards · Session replay with heatmaps and dead-click detection · Replay Vision AI scanners over recordings (2,500 free credits/mo)
Viability score82/10088/100
APIYesYes

FullStory is the stronger pick for mid-to-large product teams needing session replay plus funnels to find and fix drop-off; PostHog fits better for product engineers who want analytics, replay, flags, and error tracking under one signup.

Built from live tool data, last verified 2026-11-08.

FullStory
FullStory

Fullstory captures every click and scroll in your web and mobile product, then turns it into AI-readable behavioral data.

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PostHog
PostHog

PostHog is a product analytics platform with session replay, feature flags, error tracking, and a context warehouse your AI agents can query

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Pricing
Contact Sales
Freemium
Plans
BusinessCustom
AdvancedCustom
EnterpriseCustom
FreeFree
Pay-as-you-goUsage-based
Platform packagesCustom
Popularity
3.5k views
4.7k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebMobileAPI
WebDesktopAPICLI
Categories
📉 Product Analytics & Experimentation
📉 Product Analytics & Experimentation📡 LLM Observability & Evals
FeaturesFullStoryPostHog
Session Replay with tabbed browsing to compare sessions side by side
AI-powered Fullcapture records every interaction with private data excluded by default
StoryAI answers behavior questions in plain language and generates AI session summaries
Fullstory MCP lets AI agents detect friction, flag anomalies, monitor releases, and review sessions (June 2026)
Click maps, scroll maps, conversion maps, and heatmaps
Funnels and Conversion Analysis to locate drop-off and quantify revenue impact
Page Flow Analysis and Journey Maps across touchpoints
User Segmentation with Segment Health Tables and Segment Alerts
Sentiment Signals and rage click detection
User Trends, Event Sequence Metrics, and Metric Insights
Retention Analysis, Watched Elements, and customizable dashboards
Guides and Surveys for in-product tours, NPS, and contextual feedback
Co-Browsing gives support agents live session context during a ticket
Fullstory Anywhere delivers behavioral data to warehouses and activates real-time signals
Fullstory Workforce maps employee tool usage and cross-app workflows
Product analytics with events, funnels, and dashboards
Session replay with heatmaps and dead-click detection
Replay Vision AI scanners over recordings (2,500 free credits/mo)
Feature flags with no-code A/B testing experiments
Error tracking with exceptions, stack traces, and issue grouping
Surveys with in-app and email responses
Data warehouse with 900+ sources and DuckDB-backed SQL editor
SQL editor with BI connectivity and data visualization
PostHog MCP server to query product data from Claude, ChatGPT, Cursor, and Codex
PostHog AI for natural-language product queries (500 free credits/mo)
Inbox that clusters findings into priority-ranked reports with draft pull requests
Self-driving mode that writes pull requests for Inbox reports for your review
Scouts that watch the product and file underused-feature reports
AI observability with evaluations and evaluation backfills
Logs, web analytics, CDP, Workflows, Endpoints, and PostHog Desktop
IntegrationsFullStoryPostHog
Slack
Jira
Segment
Google Analytics
Amplitude
Snowflake
BigQuery
Amazon Redshift
Databricks
Zendesk
Salesforce
Intercom
Stripe
HubSpot
PostgreSQL
GitHub
Linear
Google Ads
Auth0
Help Scout
Meta Ads
LinkedIn Ads
Ahrefs
HeyReach
Sentry

Frequently Asked Questions

Which is better, FullStory or PostHog?

The best choice between FullStory and PostHog depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between FullStory and PostHog?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of FullStory or PostHog?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

What else are FullStory and PostHog compared with?

FullStory vs Pendo comparison
Pendo vs PostHog comparison
Hotjar vs PostHog comparison
Mixpanel vs PostHog comparison
Plausible Analytics vs PostHog comparison
FullStory vs Hotjar comparison

Where can you read more about FullStory and PostHog?

FullStory
View FullStory reviewFullStory alternatives
PostHog
View PostHog reviewPostHog alternatives

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Analysis generated by our model pipeline from live data: