Stripe+Chartsy

Stripe handles your payments.
Chartsy handles analytics.

Connect your Stripe account and understand your MRR, churn rate, and every key SaaS metric.

Raw Stripe data
dashboard.stripe.com / payments
ChargeAmountCustomerStatus
ch_3OqL2x...$49.00cus_NfxK8z...● succeeded
ch_3OqK1y...$199.00cus_QBp7Wm...● succeeded
ch_3OqJ9w...$49.00cus_Nvu2Lk...● failed
ch_3OqI8v...$99.00cus_RxA4Pq...● succeeded
ch_3OqH7u...$299.00cus_TwH9Yv...● refunded
ch_3OqG6t...$49.00cus_KbF3Mn...● succeeded
ch_3OqF5s...$99.00cus_VeP6Ws...● succeeded
ch_3OqE4r...$199.00cus_HgQ9Dx...● succeeded
12,847 chargesWhat's my MRR? 🤷
dashboard.chartsy.app
"What's my MRR this month?"
$94,210
↑ 12.4%
Net new MRR · April 2026
New
+$6.8k
Expansion
+$4.2k
Churn
-$1.1k
↓ PNG↓ PDF📌 Pin to dashboard

Read-only access · Free for 14 days

How Chartsy Simplifies Stripe Analytics

Your Stripe data, finally making sense.

Connect once and get instant access to the metrics Stripe buries - MRR, churn, LTV, metadata breakdowns, and more.

Templates
Start from a pre-built dashboard or a blank canvas. Revenue analytics, early-stage SaaS, pricing plans - all ready the moment you connect.
Revenue Analytics
$94,210
↑ 12.4%
Early-Stage SaaS
247
↑ 34%
Pricing & Plans
Growth
62% of MRR
Blank Canvas
✨ Ask anything
MRR Breakdown
See exactly what moved your MRR - new subscriptions, expansions, reactivations, contractions, and churn. No spreadsheets needed.
129New Subscriptions+$15,898
341Expansions+$4,567
12Reactivations+$2,998
28Churns-$4,562
47Contractions-$889
Net New MRR+$18,012
Chat Assistant
Ask anything in plain English. Chartsy picks the right chart and calculates the metric automatically - no SQL, no exports.
What's my MRR this month?
Your MRR is $94,210, ↑ 12.4% from last month. New: +$6.8k · Expansion: +$4.2k · Churn: -$1.1k.
Which plan churns the most?
Starter at 6.2% - 4× higher than Enterprise (0.8%). Worth revisiting onboarding.
Metadata Analytics
Group and filter by any metadata field - utm_source, plan_tier, industry, coupon. If it's on your Stripe objects, Chartsy can chart it.
LTV by metadata.signup_source
product_hunt
$3.4k
referral
$3.0k
organic
$2.1k
twitter_ad
$1.2k
The difference

Stripe is great at payments.
Less great at answers.

Stripe is powerful for payment processing, but analyzing your key metrics over any period of time shouldn't require hours of manual work. Chartsy helps you make informed decisions - replacing the spreadsheet, the analyst, and the four browser tabs you have open trying to figure out what last month actually did.

Job to be doneWith Stripe aloneWith Chartsy
See MRR by plan this month
×Click Customers → filter Active → group by plan → sum amount × interval. Repeat next month.
✓Type the question. Chart appears.
Build a report for investors
×Export CSVs. Open Sheets. Build pivots. Format charts. Paste into deck. Pray nothing breaks.
✓Click "Export PDF". Done.
Track cohorts and LTV
×Not built in. Build it yourself, or hire someone who can.
✓Built in. Calculated the standard way. Documented.
Calculate customer acquisition cost (CAC)
×Pull billing data, then manually match it with marketing and customer acquisition spend from another tool.
✓See customer acquisition cost (CAC) alongside LTV and MRR. No stitching tools together.
Hidden in plain sight

The metadata you've been
quietly storing for years.

Every customer, subscription, and charge in Stripe carries metadata - the custom fields you've been writing to all along. That includes acquisition fields like utm_source, utm_medium, and utm_campaign. Chartsy lets you group, filter, and chart by any of them.

customer · cus_NfxK8z2RvPJSON
{ "id": "cus_NfxK8z2RvP", "email": "alex@northwind.io", "name": "Northwind Labs", "metadata": {
"plan_tier": "enterprise",← charted →
"signup_source": "product_hunt",
"industry": "fintech",
"team_size": "11-50",
"account_mgr": "sara",
"coupon": "YC25",
}, "subscription": "sub_RfM8...", "created": 1704819600 }
Click any metadata field to chart it →read-only
dashboard.chartsy.app / metadataLIVE
Group by metadata.plan_tier
MRR by plan_tier
Custom field on the Subscription object
↓ PNG📌 Pin
enterprise
$48.2k
pro
$28.9k
team
$12.6k
solo
$4.5k
Insight: Enterprise is 51% of MRR but 4% of accounts. Worth a dedicated success motion.
Group by anything
Any metadata key on the customer, subscription, or charge becomes a dimension.
Filter by anything
Combine metadata fields - e.g. industry=fintech AND team_size=200+.
No backfill needed
Chartsy reads what's already in Stripe.

Stop digging through
Stripe dashboards. Just ask.

Connect your Stripe or Paddle account. See your real metrics in minutes. Free for 14 days.

Evaluating Stripe Sigma?

Stripe Sigma lets you write SQL against your Stripe data - but it requires SQL knowledge and charges per query. See how it compares to Chartsy.

Chartsy vs Stripe Sigma