Export Recurly to BigQuery
Export Recurly subscription data to BigQuery with Coupler.io for enterprise-grade financial reporting, revenue forecasting, and payment analytics through advanced SQL queries and machine learning capabilities.
What data you can export from Recurly
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AccountsComplete customer account profiles with subscription history, billing preferences, account status, and contact information, structured for customer segmentation analysis and account health scoring using BigQuery's analytical capabilities.
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SubscriptionsDetailed subscription records including plan details, billing cycles, subscription states, trial periods, and modification history for comprehensive subscription lifecycle analysis and revenue trend identification in BigQuery's data warehouse environment.
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InvoicesComprehensive invoice data with line-by-line breakdowns, payment status, tax calculations, and billing adjustments, optimized for revenue recognition reporting and financial reconciliation analysis using BigQuery's aggregation functions.
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TransactionsComplete payment transaction records including successful charges, failed attempts, refunds, and payment method details for cash flow analysis, payment success rate optimization, and financial reporting in BigQuery's analytical framework.
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PlansPricing plan configurations with billing frequencies, feature tiers, and pricing structures for plan performance analysis, pricing optimization studies, and subscription revenue forecasting using BigQuery's statistical functions.
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Billing infosCustomer payment method information including card details, billing addresses, and payment preferences for payment success analysis, geographic revenue reporting, and payment method performance optimization in BigQuery.
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Credit paymentsCredit application records with adjustment details, credit note references, and account balance changes for financial reconciliation, customer credit management, and revenue adjustment tracking using BigQuery's financial analysis capabilities.
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Line itemsDetailed invoice line items with product codes, pricing details, discounts, and tax calculations for granular revenue analysis, product performance tracking, and financial reporting precision in BigQuery's data processing environment.
All-in-one tool for Recurly data exports and analytics
Extract subscription billing cycles, account management data, and payment processing metrics from Recurly, then integrate with financial systems, CRM platforms, and business intelligence tools for unified revenue reporting.
Convert complex subscription hierarchies, billing transactions, and account lifecycle data into analytical-ready datasets optimized for BigQuery's processing engine, enabling sophisticated financial modeling and subscription analytics.
Maintain accurate financial reporting with automated data synchronization from 15-minute updates to monthly financial closes, ensuring your revenue analytics and subscription metrics stay fresh for business decision-making.
Ask questions about your subscription data in plain English and receive instant answers about revenue trends, payment success rates, and customer lifecycle patterns without writing SQL code or complex database queries."
Why export Recurly to BigQuery - real life cases
Subscription financial reporting and revenue recognition
Payment failure analysis and recovery optimization
Customer lifetime value and cohort analysis
Financial forecasting and subscription intelligence
How to export Recurly to BigQuery
30 seconds
30 seconds
30 seconds
10 seconds
Automate data exports with the no-code Recurly BigQuery integration
Connect similar Ecommerce apps and get data in minutes
Quick start with dashboard templates
about your case. It doesn't cost you a penny 😉
Talk to AI about your Recurly data
Ask questions like: "What's our monthly revenue retention rate?", "Which payment methods show the highest success rates?", "Analyze subscription churn patterns by customer cohort", or "What's driving our involuntary churn this quarter?" to receive data-driven financial insights powered by your BigQuery subscription analytics.
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