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PostHog combines product analytics, session replay, A/B testing, feature flags, and surveys into one open-source platform. Strong choice for engineering-led teams who want a unified analytics + experimentation stack.
PostHog is generous on the free tier but expensive when you outgrow it without realising. This walks through account setup, region choice (US vs EU), org structure, and the billing-cap settings that stop a runaway event from becoming a $4,000 surprise.
PostHog has a one-line install — and a hundred ways to get it wrong. This walks through web, Next.js App Router, React Native, and the server SDK (which you need for any event that can't be lost). With the autocapture gotchas that show up at month two.
Most teams ship 50 events in week one, then spend month four rewriting them because the names made no sense in retrospect. This walks through an event taxonomy that scales, a property schema that does not drift, and the identify flow that keeps your funnel reports honest.
Feature flags are the cheap insurance product teams skip until their first bad deploy. PostHog makes them free — but the targeting rules, SSR caveats, and cleanup discipline are not obvious. This walks through all of it.
Session replay is the most valuable PostHog feature for debugging product UX — and the most dangerous if you skip the masking step. This walks through enabling replay, configuring DOM-level privacy, controlling storage cost, and the compliance checklist.
Running tests is easy. Running tests that produce real decisions is hard. This walks through hypothesis design, sample-size calculation, the PostHog experiment UI, and the 5 statistical mistakes that invalidate 80% of DIY A/B tests.
PostHog surveys are the cheapest user-research tool in the stack — but only if you target right and write the questions right. This walks through both, plus the analysis pipeline that turns free-text answers into product decisions.
Self-hosting PostHog looks cheaper on paper. It almost never is. This walks through the real cost math, the operational burden most teams underestimate, and the 3 scenarios where self-hosted actually wins.
All three are good. The right one depends on your event volume, team mix, and what else you want bundled. This walks through the honest tradeoffs — pricing math at different scales, product analytics quality, and the all-in-one vs best-of-breed decision.
DIY PostHog is the right call up to a point. Then it isn't. This is the honest framework: when the cost of self-managing exceeds the cost of hiring, and how to tell which side you're on.
If three or more of these signals apply, hiring usually pays for itself in the first 30 days.
Product analytics platform — event-based tracking for SaaS, mobile, and product-led companies.
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Product analytics platform — Mixpanel competitor, strong on cohort analysis and behavioral segmentation.
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Google's analytics platform — required, free, and consistently the most-misconfigured tool in any marketing stack.
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Open-source product analytics platform — Mixpanel/Amplitude alternative with self-hosting option.
Part-time specialists run $14-16/hr. Full-time at $10-12/hr. Most ongoing engagements land between $400-1,200/mo depending on hours/week and account complexity.
When 3+ of the signals above apply, when your monthly spend on adjacent campaigns exceeds $2K, or when you're spending 6+ hours/week on this tool. The cost of compounding mistakes typically exceeds the cost of hiring before founders realize it.
Get matched with a vetted PostHog specialist in 48 hours. Try 1 week risk-free — no charge if not the right fit.
48-hour match guaranteed · Replacement at no cost · Cancel anytime