Revenue analytics from source to MRR
Revenue analytics that ties every source and campaign to the purchase it produced.
0.0on G2Three tools, three different answers
You track pageviews in one place, MRR in another and churn in a spreadsheet. None of them share a definition of a customer, so the number nobody can produce is revenue by source.
The goal is revenue, not traffic.
Every source, campaign and UTM connected to the purchases and subscriptions it produced, so budget goes on what works rather than what generates sessions.
- Full-funnel view from traffic source to first purchase and LTV
- UTM-level attribution tied to revenue rather than clicks
- CAC and payback period calculated per source
Your MRR story, fully connected.
Stripe subscription data joined to your behavioral event stream: new, expansion, contraction and churned MRR live, with the behavior behind each movement.
- Live MRR, expansion, contraction and churned MRR from Stripe
- Subscription cohort analysis by acquisition month
- The behavioral pattern separating converters from churners
Which trials actually convert.
Trial data joined to product events, so you can see which in-trial actions correlate with paid conversion and which cohorts are quietly failing.
- Trial-to-paid funnel connecting Stripe status to product behavior
- Cohort view of which trial month converts and which churns fastest
- Churn probability per subscriber, updated from live behavior
What subscription analytics tools cover
| Tool | Entry | Reads |
|---|---|---|
| ChartMogul | Free to $10K MRR | Billing across Stripe, Chargebee, Recurly, CSV |
| Baremetrics | ~$129/mo | Stripe-native, plus Recover dunning |
| ProfitWell / Paddle Retain | Free | Billing, monetized through Retain |
| Intempt | n/a | Billing and product behavior and acquisition source |
Every established tool in this category reads the billing system. That is genuinely enough to answer what your MRR is and how it moved. What billing data cannot tell you is what the customer was doing in the product in the six weeks before they cancelled, or which acquisition channel produced the cohort that churns fastest. Those need the event stream joined to the invoice.
Worth noting that ChartMogul, the most complete tool in the category, now describes itself as a subscription intelligence stack rather than subscription analytics.
Sources: vendor pricing and positioning pages, read 2026-08-13.
Explore more ways Intempt drives revenue.
Connected outcomes across the platform.
The teams that made the switch
We were losing visitors before they signed up. Intempt's personalized experiences changed that - we started meeting people where they were instead of guessing. Once they're in, Intempt's automated email takes over and keeps the relationship moving. Acquisition and retention finally feel like one connected motion instead of two separate problems.
Jim Stromberg, CEO
StockInvest
Case Study
StockInvest needed to turn anonymous traffic into registered users before any retention strategy could work. With Intempt's Experiences, they personalized the anonymous visitor flow, surfacing the right content and CTAs to boost signup conversion. Once users signed up, automated Journeys nurtured them through onboarding and deeper engagement, steadily increasing lifetime value.
Frequently asked questions
Revenue analytics connects marketing, product and billing data so you can see which sources produce revenue and what that revenue then does. It differs from traffic analytics, which stops at sessions, and from subscription analytics, which stops at the invoice.
One number everyone can agree on.
Connect Stripe and your site. Revenue by source and live MRR movement are both populated before your next revenue review.