FullVision vs PostHog
PostHog is product analytics built for engineers. FullVision is revenue attribution and AI marketing agents built for B2B SaaS founders and marketers. Here's how they actually compare.
Choose FullVision if
- You want to know which channels drive real revenue, not just events
- You'd rather connect Stripe and your ad accounts than instrument an SDK
- You want AI to find funnel leaks and act on them, not another dashboard to check
Choose PostHog if
- You need session replay, feature flags, or A/B testing
- Your engineers want an open-source, self-hostable analytics stack
- You're analyzing in-product behavior more than marketing performance
Side-by-side comparison
Revenue attribution
Built in: connect Stripe and see revenue per channel
Possible, but you build the event pipelines yourself
AI-surfaced funnel insights
Finds leaks and opportunities automatically
Max AI assistant helps you query existing data
Talk to your data in plain English
Ask your funnel anything, no query builder
AI querying available, SQL for deeper questions
Autonomous marketing actions
AI agents act on insights for you
Analytics only, so acting on data is on you
Google, Meta & LinkedIn Ads data
Native integrations with spend and performance
Via data warehouse sources and manual setup
Google Search Console integration
Organic rankings and clicks alongside revenue
Not available
Session replay
Not our focus
Excellent, one of PostHog's core products
Feature flags & A/B testing
Not our focus
Full experimentation suite
Open source / self-hosting
Cloud only
Open source with a self-hosted option
Setup
Connect your accounts, no code required
SDK instrumentation and event planning
Built for
Founders and marketers at B2B SaaS
Engineers and product teams
| Feature | FullVision | PostHog |
|---|---|---|
| Revenue attribution | Built in: connect Stripe and see revenue per channel | Possible, but you build the event pipelines yourself |
| AI-surfaced funnel insights | Finds leaks and opportunities automatically | Max AI assistant helps you query existing data |
| Talk to your data in plain English | Ask your funnel anything, no query builder | AI querying available, SQL for deeper questions |
| Autonomous marketing actions | AI agents act on insights for you | Analytics only, so acting on data is on you |
| Google, Meta & LinkedIn Ads data | Native integrations with spend and performance | Via data warehouse sources and manual setup |
| Google Search Console integration | Organic rankings and clicks alongside revenue | Not available |
| Session replay | Not our focus | Excellent, one of PostHog's core products |
| Feature flags & A/B testing | Not our focus | Full experimentation suite |
| Open source / self-hosting | Cloud only | Open source with a self-hosted option |
| Setup | Connect your accounts, no code required | SDK instrumentation and event planning |
| Built for | Founders and marketers at B2B SaaS | Engineers and product teams |
Different tools for different questions
PostHog is genuinely good at what it does: event analytics, session replay, feature flags, and experimentation in one open-source platform. If your product team wants to understand how users behave inside your app, it's a strong choice.
But most B2B SaaS teams we talk to aren't stuck on product analytics. They're stuck on a marketing question: where does revenue actually come from, and what should we do next? Answering that in PostHog means designing an event schema, wiring up revenue data, and building the funnels yourself, then interpreting them.
FullVision starts from the answer. Connect Stripe, your website, and your ad accounts, and it maps revenue back to channels end-to-end. Then its AI agents surface funnel leaks, tell you what to fix first, and act on it, so the insight doesn't die in a dashboard.
FullVision vs PostHog: FAQ
Is FullVision a replacement for PostHog?
Not always. PostHog is a product analytics suite for engineers: session replay, feature flags, experiments. FullVision answers a different question: which marketing channels actually drive revenue, and what should you do about it. Many teams run both.
Can I use FullVision and PostHog together?
Yes. Keep PostHog for in-product analytics and experimentation, and use FullVision to connect your marketing channels, website, and Stripe revenue into one attribution view with AI agents acting on it.
Do I need engineers to set up FullVision?
No. FullVision connects to Stripe, your website, Google Search Console, and your ad platforms directly. There is no event schema to design and no SDK to instrument before you see value.
What does FullVision do that PostHog doesn't?
FullVision ties revenue back to channels out of the box, surfaces funnel leaks automatically, and uses AI agents to act on those findings, adjusting and recommending instead of just reporting. PostHog gives you the tools to analyze; FullVision analyzes and acts for you.
What does PostHog do better than FullVision?
In-product analytics. If you need session replay, feature flags, A/B testing, or self-hosted open-source analytics, PostHog is the stronger choice for those jobs.
More Questions?
Visit FAQLet AI improve your funnel today
Start free. Connect Stripe. Let AI agents optimize your marketing.