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Learn more about the Stripe integration


Detailed documentation on how to start syncing Stripe data.

Stripe Documentation

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
We set up all of the integrations we needed in a matter of hours. Writing custom code to do all of that would have taken up a month's worth of back-end engineering time. Using Stitch allowed us to move forward without having to hire another person.

Mark Marcantano

Senior DevOps Engineer, Calm


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