KPI Tree

Stripe Metric

Revenue

Payment Success Rate = Successful Payment Attempts / Total Payment Attempts x 100

Payment Success Rate measures the proportion of Stripe payment attempts that complete successfully against the total number of attempts made over a period. In Stripe terms, it compares PaymentIntents and Charges that reach a succeeded status with all attempts, including those that fail at authorisation. It is a direct read on how reliably your checkout converts intent into captured revenue.

Full guide: definition, formula, and benchmarks
StripeRevenue

Payment Success Rate

Payment Success Rate measures the proportion of Stripe payment attempts that complete successfully against the total number of attempts made over a period. In Stripe terms, it compares PaymentIntents and Charges that reach a succeeded status with all attempts, including those that fail at authorisation. It is a direct read on how reliably your checkout converts intent into captured revenue.

How to calculate payment success rate

Payment Success Rate = Successful Payment Attempts / Total Payment Attempts x 100

Why payment success rate matters for Stripe users

Every failed payment in Stripe is revenue that a customer intended to give you but did not complete. A success rate that drifts down by even a few points across thousands of attempts represents real money lost to declines, expired cards, fraud blocks, or checkout friction that you can often recover with retries, dunning, or a smoother flow.

Because Stripe records the reason behind each failed attempt, this metric is also an early warning system. A sudden dip can signal an issue with a specific card network, a misconfigured fraud rule, or a regional acquiring problem, and catching it quickly protects both revenue and customer trust.

Understand and act on payment success rate with KPI Tree

Sync your Stripe PaymentIntents and Charges data into your warehouse and compute Payment Success Rate in KPI Tree, splitting attempts by status so successes and failures are clearly separated. Place it in a metric tree alongside card decline rate and charge success rate so you can see how upstream attempt quality feeds into captured revenue and average revenue per transaction.

Assign RACI ownership in KPI Tree, with payments or finance accountable and engineering consulted on checkout and retry logic. Set a weekly review cadence, with a tighter daily watch during launches or pricing changes, so any drop in success rate is investigated before it compounds.

Get started with your Stripe data

Query using MCP
MCP

Pull metrics from Stripe directly through the Model Context Protocol.

Data Warehouse
SnowflakeBigQueryDatabricksRedshift

Connect your existing warehouse where Stripe data already lands.

Professional Services
FivetranSnowflakedbt

Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.

Explore payment success rate across integrations

Empower your team to understand and act on Stripe data

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