Stripe Analytics

Your Stripe Data Is a Goldmine.
You're Not Mining It.

Full visibility into your revenue, churn, and customer metrics—built on the data you already have.

Stripe Revenue DashboardLive
Last updated: 2 min ago
MRR
$127,450
+8.3% vs last month
ARR
$1.53M
+12.1% YoY
Churn Rate
2.4%
-0.3% improvement
LTV
$4,230
+$340 vs Q3
Revenue Breakdown
New Revenue
$18,200
Expansion
$8,450
Contraction
-$2,100
Churned
-$5,340
Cohort Retention
Jan 202495%87%72%
Feb 202493%84%68%
Mar 202496%89%
M1M3M6

You Have Everything You Need in Stripe

Every transaction. Every subscription. Every upgrade, downgrade, cancellation, and renewal. Every customer, every payment, every refund.

It's all there.

But when someone asks "what's our churn rate?" or "what's our LTV by cohort?" or "how's MRR trending?"—you're either guessing, manually calculating in a spreadsheet, or waiting for someone to figure it out.

The data exists. It's just trapped.

The Stripe Data Problem

Stripe is great for processing payments. It's not great for analytics. The data doesn't come out clean—it comes out as a mess of events, objects, and edge cases.

Common symptoms:

You're calculating MRR in a spreadsheet. Manually. Every month.
You have a rough sense of churn but you don't trust the number.
Someone asks about LTV and you make an educated guess.
You can't easily see revenue by plan, by cohort, by acquisition channel.
Upgrades, downgrades, and plan changes are a black box.
You're not sure if that customer churned or just had a failed payment.
Your "analytics" is the Stripe dashboard and some spreadsheets duct-taped together.

You know you should have better visibility. You just don't have the infrastructure to get it.

What You Actually Need to Know

If you're running a subscription business—or any business on Stripe—there are numbers you should be able to see instantly.

Revenue

  • MRR and ARR, accurate and up-to-date
  • Revenue by plan, by product, by segment
  • Trends over time—growing, flat, shrinking?
  • New vs. expansion vs. contraction vs. churn

Customers

  • Active, new, and churned customers
  • Cohort analysis—are newer customers stickier?
  • Customer lifetime value by segment
  • Who's at risk? Who's growing?

Churn

  • Actual churn rate—not a guess
  • Voluntary vs. involuntary (failed payments)
  • Churn by cohort, by plan, by customer type
  • Revenue churn vs. logo churn

Retention

  • Retention curves by cohort
  • How long do customers stick around?
  • Where's the drop-off?

Growth

  • Net revenue retention
  • Expansion revenue from upgrades
  • Contraction from downgrades
  • The full picture of how revenue moves

You should be able to answer any of these questions in seconds. Most companies can't.

We Turn Your Stripe Data Into Real Metrics

We build the infrastructure to transform your raw Stripe data into clean, reliable, queryable metrics.

1

Connect and extract

We pull your Stripe data into a proper data warehouse. All of it. Subscriptions, invoices, charges, customers, events—everything you need.

2

Transform and model

This is where the magic happens. We have battle-tested dbt models that turn raw Stripe data into clean tables for MRR, churn, LTV, cohorts, and more. We handle the edge cases—prorations, refunds, plan changes, failed payments, trial conversions—so you don't have to.

3

Build your metrics layer

Clean, documented tables that answer the questions you actually ask. MRR by month. Churn by cohort. LTV by segment. Revenue by plan. All of it, ready to query or visualize.

4

Dashboards and visibility

We can build dashboards on top—or connect to your existing BI tool. Either way, you get real-time visibility into the metrics that matter.

5

Keep it running

Pipelines that update automatically. Data that's fresh. Metrics you can trust. We can maintain it or hand you the keys.

What You Get

MRR & ARR Tracking

Accurate, automated, up-to-date. No more spreadsheets.

Churn Analysis

Real churn rates. Voluntary vs. involuntary. By cohort, by plan, by segment.

Lifetime Value

Actual LTV by customer type, acquisition channel, plan. Not a guess.

Cohort Analysis

How do customers from different periods behave? Are you getting better or worse at retention?

Revenue Breakdown

New, expansion, contraction, churned. See where your revenue is coming from and where it's going.

Subscription Analytics

Upgrades, downgrades, plan changes, trial conversions. Full visibility into the subscription lifecycle.

Customer Health

Who's at risk? Who's growing? Who just had a failed payment that needs attention?

Is This For You?

This is for you if:

  • You're on Stripe and you don't have clean revenue metrics
  • You're calculating MRR in spreadsheets
  • You can't answer basic questions about churn or LTV
  • You know your Stripe data has value but you can't access it
  • You want investor-ready metrics without building it yourself
  • You're a SaaS company—or any subscription/recurring revenue business

Probably not for you if:

  • You're not on Stripe
  • You already have solid revenue analytics infrastructure
  • You're pre-revenue or just getting started

Your Data Is Already There

You don't need to start tracking anything new. You don't need to implement new tools. You don't need to change how you do business.

The data is already in Stripe. Every transaction, every subscription, every customer.

It just needs to be transformed into something useful.

Stop Guessing at Your Own Numbers

You should know your MRR. You should know your churn. You should know your LTV.

Not roughly. Not "I think it's around..." Not a spreadsheet someone updates sometimes.

Actually know. In real-time. With confidence.

The data is there. Let's unlock it.

Book a Discovery Call