AI-Native Product Analytics for B2B SaaS

AI-native product analytics.
Activation, churn & expansion — answered automatically.

Lunar Dinos finds what drives conversion, predicts churn risk, and spots expansion-ready accounts. Automatically, no analyst required.

EU Built in Hamburg, Germany. Hosted in Europe. 14-day free trial No credit card required

The problem

You know what you should be measuring. Getting there is the hard part.

Find your activation moment. Build churn scorecards. Score PQLs. Analyze feature adoption by cohort. Proven methods that drive real revenue. But they all need someone who can query behavioral data at the account level. Your team has the ambition. You just need the insights without the data team.

How it works

Connect your product.
Get the insights.

1 Add one snippet 2 AI analyzes your accounts 3 Activation, churn & expansion insights
Product structure auto-discovered from real user sessions — pages grouped by area with navigation flows

Your entire product structure (pages, modals, navigation flows) discovered automatically from real sessions.

Plus full session replay with journey markers and activation milestones on the timeline. Watch exactly what happened, in context.

PostHog gives you the data.
We give you the answers.

Activation & conversion

Find what drives trial-to-paid conversion.

Which actions in the first week predict long-term retention? What do converting accounts do differently? Ask in plain English and get answers from your real product data.

Increase conversion

"Where do users drop off after onboarding?"

The AI analyzes 312 onboarding sessions, identifies the biggest drop-off at step 3, explains why users abandon, and links to session recordings. Now you know exactly where to focus to improve conversion. Read the customer journey guide →

AI chat analyzing onboarding drop-off — shows step-by-step conversion table, identifies Step 3 as bottleneck, links to real session recordings
AI chat showing feature adoption across all accounts — table with adoption rates, key takeaways about underperforming features

Build what drives retention

"Which features do retained accounts use that churned ones don't?"

Feature adoption correlated with retention and expansion outcomes across all accounts. See which features actually drive revenue and which ones get ignored.

Churn & expansion

See churn risk before it's too late.
Spot accounts ready to grow.

Account-level health scores based on real product behavior. Churn signals surface weeks before cancellation. Expansion-ready accounts get flagged automatically.

Healthy account — NovaTech Labs with health score 96, strong feature adoption, fully activated

Expansion candidate — Health 96, 4 features active, hitting plan limits. Sales knows exactly who to call.

At-risk account — Stegosaurus Labs with health score 24, declining activity, risk alerts showing usage dropped 70%

Churn risk — Health 24, usage dropped 70% in 3 weeks. CS intervenes before they cancel. The churn signals to watch →

Proactive intelligence

You don't have to ask. It tells you.

The best analytics tool is one you don't have to open. Lunar Dinos surfaces what matters before you think to look.

Weekly reports

What changed this week: new patterns, activation progress, accounts that need attention. In your inbox every Monday.

Churn & risk alerts

Account health drops, usage declines, stalled activations. Flagged automatically so you can act before it's too late.

Slack integration

Alerts, digests, and answers right in Slack. Ask questions, get notified. No new tool to open.

What you can ask

The questions that drive revenue.

Just type. The AI answers with real data from your product.

What do converting trials do in their first week? Where do users drop off during onboarding? Which accounts had the biggest activity drop? What do users who stay 6+ months do differently? Which features correlate with retention? Which accounts are using power features on the starter plan? How is activation rate trending this month? Show me accounts that stopped using core features Which part of the product has the most friction? What changed in user behavior since the last release?

Live in your tools? Connect Lunar Dinos to ChatGPT, Claude, Cursor, or VS Code via MCP. Product insights right where you already work.

vs. the market

They collect data. We deliver answers.

PostHog

PostHog collects events. Finding activation patterns is on you. We surface them automatically.

Amplitude

Amplitude gives you dashboards. Answering 'which accounts are at risk?' takes a data team. We tell you proactively.

Pendo

Pendo tracks feature clicks. Connecting adoption to retention takes custom analysis. We correlate them for you.

Heap

Heap auto-captures everything. Making sense of it takes an analyst. We do the analysis for you.

Fullstory

Fullstory shows you what happened. Connecting behavior to revenue takes work. We make the connection automatically.

EU

Built in Hamburg. Hosted in Europe.

Made and hosted in the EU, powered by European-based infrastructure.

Why we're building this

Andre Sattler, Founder of Lunar Dinos
"Every B2B SaaS team I talk to wants to understand activation, track churn signals, and spot expansion opportunities. But without a data analyst, it's really hard to get there. That's what I'm building Lunar Dinos for."

Andre Sattler

Founder & CEO · Lunar Dinos · Hamburg, Germany

Frequently asked

Questions we hear a lot.

What is AI-native product analytics?

AI-native product analytics is built around AI from the ground up, not bolted onto a traditional dashboard tool. Instead of charts and funnels you have to configure and query, the AI understands your product automatically and surfaces activation, churn, and expansion insights without anyone having to build a dashboard.

How is Lunar Dinos different from PostHog or Amplitude?

PostHog and Amplitude collect product data. Getting answers out of them — which accounts are at risk, what drives activation, which features correlate with retention — still requires a data analyst. Lunar Dinos does that analysis automatically and delivers the answers.

Do I need a data analyst to use Lunar Dinos?

No. Lunar Dinos is built for B2B SaaS teams between 20 and 150 people that don't have a dedicated analyst. You get account-level health scores, churn signals, and expansion flags without writing SQL or building funnels.

Where is my product data stored?

Lunar Dinos is built in Hamburg, Germany and hosted in Europe on European infrastructure. Your product data never leaves the EU.

What kind of B2B SaaS teams is Lunar Dinos for?

Series A to B B2B SaaS companies, 20 to 150 people, with a product and revenue to protect but no dedicated data analyst. Not built for B2C, enterprise teams with their own data teams, or pre-product startups.

Stop guessing. Start knowing.

Activation patterns. Churn signals. Expansion opportunities. No analyst required.

EU Built in Hamburg, Germany. Hosted in Europe. 14-day free trial