Introducing Mora
Product analytics
with a revenue lens
Mora connects product usage to billing outcomes, so you see which features actually drive expansion, retention, and churn.
The Problem
Product analytics tools are great at telling you what users do. They’re terrible at telling you what it’s worth. Your product team measures DAU, feature adoption, and session length. Your finance team measures MRR, churn, and expansion. Nobody connects the two.
The result: product decisions get made based on engagement metrics that don’t correlate with revenue. Features that “look good” in Amplitude get prioritized over features that actually retain paying customers. And when the board asks “what’s the ROI of that feature investment?” nobody has a real answer.
How Mora
can help you
Connect product data to billing
Mora joins your product analytics (Amplitude, Mixpanel, PostHog) with your billing data at the account level.
Feature-to-revenue mapping
See which features correlate with higher LTV, faster expansion, and lower churn, not just higher engagement.
Activation with revenue outcomes
Define activation milestones and measure how they affect conversion to paid, time-to-expansion, and LTV.
Usage-based churn prediction
Identify usage patterns that precede cancellations, like declining logins before the churn event.
Revenue-weighted prioritization
Rank feature investments by projected revenue impact based on historical patterns in your own data.
Natural language queries
Ask “do accounts that use feature X within 14 days retain better?” and get an instant answer.
Mora is made
for these people
Product leaders
Prioritize roadmap decisions based on revenue impact, not just engagement metrics.
Revenue leaders
Understand which product investments drive financial results, and which don’t.
Founders
Close the loop between what you build and what it’s worth.
"Mora pulled us closer to the metal so we make decisions faster."
Joan Abreu
Head of Engineering
First dashboards live within 10 days
Connect product analytics and billing data into a unified model
Custom dashboards for feature-to-revenue correlation, activation tracking, and churn prediction
Quarterly revenue impact analysis of product changes
Ongoing optimization recommendations
See which features actually drive revenue
Connect product analytics to billing data.