PostHog and Zenovay get compared a lot, but they are solving fundamentally different problems.
PostHog answers: "Which features retain users? Where do people drop off in the onboarding flow? Does variant B of the signup page convert better?"
Zenovay answers: "Which marketing channels bring paying customers? How do visitors from Twitter behave differently from organic visitors? Which blog post generated the most revenue?"
Product analytics vs marketing analytics. Engineering teams vs founders and marketers. If you pick the wrong one, you will be frustrated.
Where PostHog is genuinely better
PostHog has a generous free tier: 1 million events per month. For early-stage startups with engineering resources, that is real value.
Feature flags and A/B testing are built in. You can roll out features gradually, test variants, and measure impact without a separate tool. Zenovay does not offer these because they are product tools, not marketing tools.
PostHog is open source under MIT license. You can self-host, audit the code, and contribute. Their developer community is one of the most engaged in the analytics space.
If your primary questions are about product engagement, user retention, and feature adoption, PostHog is purpose-built for that.
Where Zenovay fills a different gap
Zenovay is built for the question most founders actually ask every morning: "Where are my customers coming from and which channels are worth my time?"
Connect Stripe and see revenue attribution automatically. No event instrumentation required. No engineering time to set up custom properties. Add one script tag and you have answers in 2 minutes.
Zenovay also includes heatmaps and session replay. PostHog has these too (via their toolbar), but Zenovay is EU-hosted in Germany by default with cookieless tracking. PostHog Cloud defaults to US hosting, with EU as an option on specific plans.
The setup gap
This is where the difference hits hardest in practice.
PostHog is powerful but requires engineering investment. You need to plan your event taxonomy, instrument events in your codebase, configure properties, and build dashboards. For a team with dedicated engineers, that is fine. For a solo founder or small marketing team, it is a barrier.
Zenovay is designed for non-engineers. One script tag. Connect Stripe. See revenue data. The tradeoff is less customization, but for most marketing questions, the defaults are enough.
Feature comparison
| Feature | Zenovay Pro ($20/mo) | PostHog (free to usage-based) |
|---|---|---|
| Focus | Marketing analytics | Product analytics |
| Revenue attribution | Built in (Stripe) | Not built in |
| Heatmaps | Included | Included (toolbar) |
| Session replay | Included | Included |
| Feature flags | No | Yes |
| A/B testing | No | Yes |
| Setup time | 2 minutes | Hours to days |
| EU hosting | Default | US default, EU option |
| Open source | No | Yes (MIT) |
| Pricing | Flat tiers | Usage-based |
Can you use both?
Yes, and many teams do. PostHog for product analytics, feature flags, and experiments. Zenovay for marketing analytics, revenue attribution, and heatmaps. They complement each other because they answer different questions.
My recommendation
Choose PostHog if you need product analytics (funnels, retention, cohorts), feature flags and A/B testing are essential, you have engineering resources for setup, or open source and self-hosting matter.
Choose Zenovay if you need marketing analytics and revenue attribution, you want actionable data in 2 minutes without engineering, EU hosting and privacy compliance are priorities, or you prefer predictable pricing over usage-based billing.
Disclosure: I built Zenovay. PostHog is a great tool for product teams. If product analytics is your primary need, use PostHog. If marketing analytics and revenue attribution are what you need, try Zenovay.
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