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Intempt
Revenue Analytics

See where revenue comes from and what it is doing.

MRR, expansion, contraction, and churn on the same profile as the event stream, tracked by the Data Analyst agent. No separate ChartMogul.

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G2
0.0on G2
10B+events
500M+users
7+years profitable
50+enterprises

Three 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.

  • Source to LTV in one viewTraffic source, first purchase and lifetime value on one chain.
  • UTMs tied to revenueAttribution lands on money rather than on clicks.
  • CAC and payback per sourceEach acquisition source carries its own cost and its own payback period.
The goal is revenue, not traffic

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 - no handoff to a separate billing-analytics tool.

  • MRR movements from StripeExpansion, contraction and churned MRR read live from billing.
  • Cohorts by acquisition monthEach month's subscribers tracked as their own cohort.
  • Converters against churnersThe behavioural pattern that separates the two, stated rather than implied.
Your MRR story, fully connected

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 - flagging churn risk is a skill the Data Analyst agent already runs on every subscriber.

  • Trial to paid, end to endStripe status and product behaviour on the same funnel.
  • Which trial month convertsAnd which one churns fastest, by cohort.
  • Churn probability per subscriberRe-scored from live behaviour rather than set at signup.
Which trials actually convert

What subscription analytics tools cover

ToolEntryReads
ChartMogulFree to $10K MRRBilling across Stripe, Chargebee, Recurly, CSV
Baremetrics~$129/moStripe-native, plus Recover dunning
ProfitWell / Paddle RetainFreeBilling, monetized through Retain
Intemptn/aBilling 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.

Marketing Attribution

In the words of50+ live tenants.

Jim Stromberg, CEO at StockInvest

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

Eric Gardner, COO at FieldsUSA

Intempt helped us turn real browsing and purchase signals into personalized experiences that drive repeat buying. We finally have one system that sees the whole customer journey.

Eric Gardner

COO, FieldsUSA

Tadas Kertenis, Co-founder at Hoperfy

With Intempt, we built a signal-led pipeline driven by real behaviors. Follow-ups are triggered by intent signals instead of timelines, so we only focus on users who are truly engaging.

Tadas Kertenis

Co-founder, Hoperfy

Frequently askedquestions.

  • 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.
Intempt Analytics

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.

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