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Easily sync your Recurly subscription and revenue data to your data warehouse.

Load data from Recurly to your Data Warehouse

Start moving your Recurly data to BigQuery, Snowflake, or Redshift with fully managed data pipelines. Get clean normalized data ready for analytics, easy to setup in minutes with no coding required. Up to 5 minute sync frequency for fast data syncronisation.

View more about the Recurly integration in the Weld documentation

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Explore available Recurly data

Browse all the data tables available for the Recurly integration, in our interactive ERD data viewer.

View the Recurly Data Schema

Transform and model Recurly data

Get clean data models from your Recurly data. Weld makes it easy to transform and model with the powerful built in SQL editor and AI Assistant.

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Connect Recurly data to any BI tool

Transform and combine Recurly data with other data sources with Weld, to build valuable business insights. Connect any BI Tool to build valueable analytics and reporting for your company.

Recurly is a subscription management platform designed to optimize and simplify the process of handling recurring payments and billing cycles.

The platform's capabilities result in a wealth of data that can be invaluable for businesses when processed and analyzed. Here are four analytics-focused use cases utilizing data extracted from Recurly:

  • Subscription Churn Analysis: By evaluating subscription cancellations, renewals, and pauses, businesses can calculate churn rates and identify trends over time. Understanding the reasons for churn can inform retention strategies, helping reduce customer turnover and boost long-term revenue.
  • Revenue Forecasting and Growth Tracking: With insights into new sign-ups, renewals, upgrades, and downgrades, businesses can project future revenue. This assists in financial planning, assessing the health of the subscription model, and setting growth targets.
  • Lifetime Value (LTV) and Customer Acquisition Cost (CAC) Analysis: By analyzing the revenue generated from subscribers against the costs to acquire them, businesses can compute the LTV to CAC ratio. A healthy ratio indicates a sustainable business model, while insights into these metrics can guide marketing spend and subscription pricing.
  • Billing and Payment Failure Insights: Monitoring failed payment attempts, expired credit cards, and other billing issues can help businesses proactively address these challenges. Implementing timely reminders or streamlining the payment process based on these insights can reduce involuntary churn and improve cash flow.

Leveraging the detailed data provided by Recurly allows businesses to gain a comprehensive view of their subscription operations, helping them refine strategies, improve customer retention, and optimize revenue streams.

Start working with your Recurly data today

Get started building your data warehouse with Recurly and 100+ more apps and database integrations available.

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