If your goal is specifically tracking behavior inside your product—feature usage, funnels, retention, user paths, cohorts, etc.—my top pick right now is PostHog.
PostHog's current free plan gives you 1M analytics events, 5,000 session recordings, 1M feature-flag requests, 100K error exceptions, and 1,500 survey responses every month, indefinitely. It also doesn't charge per seat.
That's unusually compelling because you get analytics + session replay + feature flags + experiments in the same product rather than having to stitch several tools together.
When I'd choose something else
Choose Amplitude if your primary concern is sophisticated product analysis. Its current free tier is 2M events/month and includes analytics, experimentation, session replay, and AI features.
Choose Mixpanel if you want a very polished, focused analytics experience—especially funnels, retention, cohorts, and dashboards—without all the extra product-development tooling. Its free plan is also 1M events/month.
Choose Heap if your biggest concern is instrumentation. Its autocapture approach can record user interactions without requiring you to explicitly define every event ahead of time. The tradeoff is a smaller free allowance measured in sessions.
My recommendation
For a startup or growing SaaS/app, I'd start with PostHog.
The particularly nice part is that you can start with:
without paying anything, and the free allowance resets monthly. PostHog also lets you set billing limits, so you can prevent accidental overages when you eventually enable paid usage.
If you tell me (1) web, mobile, or both, (2) approximate monthly active users, and (3) whether you're B2B SaaS or B2C, I can tell you whether I'd pick PostHog, Amplitude, or Mixpanel for your particular product.
When tracking user behavior inside a software product, three heavy hitters dominate the product analytics space, and all of them offer genuinely generous free tiers. However, "best" depends entirely on your data volume model (events vs. users) and whether you just need raw data or extra goodies like session replays.
The three best options with robust free plans compare as follows:
PostHog
The Free Allowance: 1 million free events per month on their Cloud tier, plus 5,000 free session recordings and a generous amount of data warehousing.
Why it shines: It is an all-in-one suite. Beyond standard product analytics (funnels, retention, paths), the free tier includes session replays, feature flags, and A/B testing experiments . If you want to avoid stitching together four different software subscriptions, PostHog is unbeatable.
Best for: Technical teams, startups, and developers who want an all-in-one growth toolkit.
Mixpanel
The Free Allowance: Up to 20 million events per month (or structured around core analytics tracking with high volume thresholds).
Why it shines: Mixpanel offers arguably the most powerful, polished, and lightning-fast pure event-analytics interface on the market. Their free tier is "free forever" as long as you stay under the event cap, giving you complete access to core behavioral reports, funnels, and unlimited saved reports.
Best for: Event-driven data analysis where you have high event volumes from a relatively focused user base.
Amplitude
The Free Allowance: Up to 50,000 Monthly Tracked Users (MTUs) on their Starter plan.
Why it shines: Amplitude uses an MTU pricing model rather than counting raw events. This means you can track as many clicks, page views, and actions as you want for your users without panicking about event inflation. Their free Starter plan includes core chart types like retention, funnels, and user paths.
Best for: Products with a high volume of actions per user, where an event-count cap would punish you prematurely.
The Quick Verdict
Choose PostHog if you want product analytics + session replays + feature flags in one free sandbox.
Choose Mixpanel if your priority is a polished, deep behavioral event-analytics UI and high monthly event limits.
Choose Amplitude if you expect high event-per-user frequency and prefer user-based (MTU) limits over event caps.
To help narrow down which of these fits your setup best, could you tell me:
Roughly how many Monthly Active Users (MAUs) do you expect?
Do you also need session recordings or A/B testing/feature flags , or just pure analytics charts?
The "best" product analytics tool depends heavily on your product type (B2B vs. B2C), your team’s technical setup, and whether you need qualitative tools (like session replays) alongside quantitative numbers.
The top options with exceptionally generous free plans are broken down below by their strengths:
Mixpanel
Free Tier Limit: Up to 20 million events per month (with the first 1 million free, and robust baseline access depending on current packaging) and unlimited data history/seats.
Best For: Pure play, deep quantitative user behavior analysis (funnels, retention, flows). Mixpanel overhauled its pricing to make core reports, unlimited saved reports, and even basic experiments/feature flags available on lower/free tiers.
The Catch: It focuses strictly on data events. You won’t get native session replays or error monitoring out of the box.
PostHog
Free Tier Limit: 1 million free events per month plus 5,000 to 10,000 free session replay sessions and feature flag requests.
Best For: All-in-one product engineering teams. PostHog combines product analytics, session replays, feature flags, A/B testing, and surveys into a single platform. If you are a startup, their monthly free allowance across all tools is arguably the most feature-complete free tier on the market.
The Catch: Once you scale past the generous free tier, pricing becomes usage-based per product, which can creep up if you turn on heavy session recording for all users.
Amplitude
Free Tier Limit: Up to 50,000 Monthly Tracked Users (MTUs) with core analytics.
Best For: Enterprise-grade charting power scaled down for early-stage teams. Amplitude's charts, cohort analyses, and predictive behaviors are exceptionally polished.
The Catch: Amplitude measures by MTUs (unique users) rather than total events. If you have a high volume of casual or anonymous users who log few events, you might hit the MTU ceiling faster than an event-based quota.
Heap
Free Tier Limit: Captures up to 10,000 sessions/month on their free tier.
Best For: Auto-capture enthusiasts. Heap automatically captures every click, tap, and pageview retroactively, meaning you don't have to manually code tracking for every new event you forgot to measure.
The Catch: The 10,000-session free limit is quite tight and meant strictly for early-stage discovery or small MVPs.
To help narrow down the ideal choice, tell me:
Is your product B2B or B2C?
Roughly how many users or monthly visitors do you have right now?
Do you also need session replays and feature flags , or just pure event analytics?
For most teams trying to understand user behavior inside a product (activation, funnels, retention, feature adoption), I’d start with one of these three:
Early-stage SaaS / startup: Start with PostHog if you want analytics plus session replay, feature flags, and experimentation in one place.
Product manager + growth team: Start with Mixpanel if your main questions are:
“Where do users drop off in onboarding?”
“Which features correlate with retention?”
“What do power users do differently?”
Larger company or analytics-heavy team: Evaluate Amplitude for more sophisticated behavioral analysis and cross-functional reporting.
What I’d instrument first (regardless of tool)
Don’t start by tracking everything. Track the events that answer product questions:
Activation
account_created
onboarding_completed
first_key_action_completed
Engagement
feature_used
project_created
content_shared
Retention
weekly/monthly active usage
repeat completion of the core action
Conversion
trial started
upgrade started
subscription purchased
A simple stack I’d choose today
For a small product:
Product analytics: PostHog or Mixpanel
Error monitoring:
Data warehouse later if needed
For a consumer app with lots of experimentation:
Evaluate Amplitude + experimentation tooling or PostHog.
The “best” free plan depends mostly on your product stage and what you mean by user behavior: funnels/retention, session recordings, UX issues, or feature experiments. If you tell me your product type (SaaS, mobile app, marketplace, etc.) and approximate users/month, I can narrow it down.