Payments categoryCertified by Stitch

Learn more about syncing Stripe data


Detailed documentation on how to start syncing Stripe data.

Stripe Documentation

Manual Instructions

How to extract data from Stripe and load it to PostgreSQL manually.

Stripe and load it to PostgreSQL manually.


Jumpstart your Stripe analytics with reusable blocks

dbt packages can speed up your work

Once you replicate your Stripe data with Stitch, you can use it in many ways. For example, you can use the data modeling and transformation tool dbt to prepare data for reporting, analytics, or machine learning applications.

Dbt has prebuilt packages for many Stitch data sources, including Stripe. Here’s a look at code for modeling Stripe data. This particular block of code models monthly recurring revenue from your Stripe data.

View the source on GitHub →
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 {{ config( materialized = 'table', sort = 'date_month', dist = 'customer_id' ) }} with mrr as ( select * from {{ref('stripe_mrr_unioned')}} ), mrr_with_changes as ( select *, coalesce( lag(mrr) over (partition by customer_id order by date_month), 0) as prior_mrr, mrr - coalesce( lag(mrr) over (partition by customer_id order by date_month), 0 ) as mrr_change from mrr ), final as ( select *, case when first_month = 1 and mrr > 0 then 'new' when active_customer = 0 and lag(active_customer) over (partition by customer_id order by date_month) = 1 then 'churn' when lag(active_customer) over (partition by customer_id order by date_month) = 0 and active_customer = 1 then 'reactivation' when mrr_change > 0 then 'upgrade' when mrr_change < 0 then 'downgrade' end as change_category, least(mrr, prior_mrr) as renewal_amount from mrr_with_changes ) select * from final

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