Stripe+Chartsy

Stripe handles your payments.
Chartsy handles your Stripe metrics.

Connect your Stripe account and turn raw payments into the Stripe metrics that matter - MRR, churn rate, LTV and retention, calculated for you.

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.
Segment revenue by metadata
×Export raw charge data, then manually pivot by custom fields like plan_tier or signup_source in a spreadsheet.
✓Ask the question. Chartsy charts it by metadata.plan_tier or any custom field automatically.
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

Every Stripe metric, calculated automatically

Stripe stores the records. It does not turn them into Stripe metrics. Chartsy reads your charges, invoices, customers and subscriptions and derives the numbers a subscription business actually runs on - revenue trends, churned customers, average revenue per account and free trial conversion - updated on every sync, with no SQL and no spreadsheet.

Revenue metrics

Calculated from your Stripe charges, invoices and subscriptions, with annual plans normalised to a monthly figure so renewals never look like growth spikes.

Retention metrics

Chartsy separates customers churned by choice from those lost to failed payments, because one is a product problem and the other is an operational one.

Unit economics

The numbers that decide whether growth is worth what it costs, including acquisition spend captured per channel.

Payment analytics, not just revenue

Stripe processing fees, refunds, chargebacks and failed payments all change what you actually keep. Chartsy reports gross revenue alongside net revenue after refunds and fees, and separates involuntary churn from deliberate cancellations so recoverable revenue is visible rather than buried in the churn number.

Revenue reporting your team will actually read

Save any breakdown as a dashboard, get a weekly email summary of the movements that matter, and ask follow-up questions in plain English when a number looks wrong. Data-driven decisions fail when the reporting is too slow to consult mid-conversation.

Stripe metrics: common questions

What Stripe metrics can I track with Chartsy?

Chartsy calculates MRR, ARR, churn rate, revenue churn, net revenue retention, LTV, CAC, ARPU, expansion MRR, trial conversion and refund totals directly from your Stripe data, plus payment analytics such as processing fees and failed payments. Every metric can be broken down by plan, country or any metadata field already on your Stripe objects.

Does Stripe show MRR and churn natively?

Partly. The Stripe Dashboard reports billing volume, charges and some subscription trends, but it does not give you a normalised MRR figure with new, expansion, contraction and churned components separated, and it has no LTV or net revenue retention. Those require either Stripe Sigma and SQL, or a dedicated analytics layer.

How do I calculate MRR from Stripe data?

Normalise every active subscription to a monthly value - divide annual plans by twelve, quarterly by three - then sum them, excluding one-time charges and setup fees. Doing this by hand in a spreadsheet is where most MRR errors come from, particularly around trials, proration and multi-currency conversion. Chartsy applies the same rules automatically on every sync.

Is Chartsy a replacement for Stripe Sigma?

For teams without a SQL analyst, usually yes. Sigma gives raw query access and expects you to build the metrics layer yourself; Chartsy ships that layer already calculated and answers questions in plain English. See the full comparison of Chartsy and Stripe Sigma for when each one is the better fit.

Can I track multiple Stripe accounts in one dashboard?

Yes. Multiple Stripe accounts can be connected and reported on together or separately, which matters if you run more than one product or entity. Chartsy also supports Paddle and BigCommerce, so revenue reporting can span more than one payment provider.

How far back does Chartsy sync my Stripe history?

Chartsy performs a one-time backfill of your full Stripe history when the account is first connected, so historical revenue trends and cohort retention are available immediately rather than building up from the connection date.

Does connecting Stripe to Chartsy give it access to my money?

No. Chartsy uses read-only access to your Stripe data. It can read customers, subscriptions, invoices and charges to calculate metrics, and it cannot move funds, issue refunds or modify anything in your Stripe account.

See also: Chartsy vs Stripe Sigma · SaaS metrics reference · Stripe fee calculator

Ministry of Economy and Innovation
Startup Albania

The Chartsy program is realized with the financial support of the Albanian Government through the Ministry of Economy and Innovation, under the Grant 2026 scheme, and is implemented by the Innovation4Albania Agency.