Catch before they bounce vs PostHog: a Swiss-army knife vs a sharp scalpel.

PostHog deserves its hype. Product analytics, feature flags, A/B testing, session replay, surveys, data warehouse — all in one stack, much of it open-source. For a product team that owns its own data and has engineering bandwidth, it is genuinely best in class.

But power has a price, and the price is configuration. PostHog ships with everything turned off by default. Funnels, retention cohorts, lead lists — you build all of them. By the time you have a useful lead-scoring view, two months have passed and a contractor has been billed.

Where PostHog wins

• Open-source, self-hostable, predictable costs at scale.
• Feature flags and experimentation in the same product as analytics.
• SQL access to your raw events whenever you want it.
• An ecosystem of integrations and a serious data warehouse story.

Where PostHog asks a lot

Lead scoring in PostHog is a DIY project. You define events, build cohorts, write SQL or use the formula builder, and maintain the model yourself. It is doable. It is also exactly the work a growth team did not want to do — which is why most PostHog projects we see ship a beautiful dashboard nobody uses for sales triage.

What Catch before they bounce does instead

• Lead scoring works out of the box, no event taxonomy required.
• The model is trained on your conversions automatically; no SQL, no cohorts.
• One opinionated view: who to call, in what order, with what context.
• Ten-minute install, no engineering ticket required.

When to pick which

Pick PostHog if you have an engineering team, a real data person, and product-led growth needs that go beyond sales. Pick Catch before they bounce if your bottleneck is 'we don't know which of these leads is worth our hour' and you want it solved this week, not this quarter.

We've seen teams run PostHog for product analytics and Catch before they bounce for lead prioritization. Different surfaces, different jobs. Both stay sharp.