Move your {{Returns Go}} Data to any Warehouse



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Captures {{Returns Go Data}} that actually matter
Trusted by data-driven teams



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Make the most out of your {{Returns Go Data}} using Saras Daton
Gain full lifecycle visibility using the ReturnGO data connector. This no-code ReturnGO data integration uses the ReturnGO API and ReturnGO ETL to power ReturnGO analytics to support analytics across orders, products, and customers.
Use the ReturnGO data connector to analyze return reasons, product attributes, and policy rules. This returns management data connector for ecommerce helps reduce avoidable returns and improve product quality.
Track refunds, exchanges, fees, and return shipping costs by syncing ReturnGO data to your warehouse, it also acts as a returns management data connector to minimize the financial impact of returns.
Load your data into any Warehouse
Daton ensures your connector data arrives clean, consistent, and analytics-ready, without manual intervention or fragile pipelines.
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How It Works



Why Saras Daton
Saras Daton gives ecommerce and growth teams a faster, more reliable, and fully automated way to centralize connector data
Read some of our best Case Studies
Frequently Asked Questions
Using the ReturnGO Daton connector, clients can pull end-to-end returns and RMA (Return Merchandise Authorization) data, including:
• RMA records and statuses
• Return lifecycle events and timestamps
• Order references linked to returns
• Returned item details (SKU, product, variant)
• Refund, exchange, and fee-related information
• Shipment and tracking details for return logistics
This enables full visibility into the returns journey from initiation to resolution.
Yes.
Daton automatically loads ReturnGO data into supported data warehouses such as BigQuery, Snowflake, Redshift, and more.
ReturnGO data refresh frequency is configurable within Daton.
• Supports scheduled and recurring syncs
• Cursor-based pagination ensures efficient incremental updates
• Built-in retry and error handling protect against API limits or transient failures
This allows teams to keep returns data up to date without manual maintenance.
Common use cases include:
• Monitoring return rates by product, SKU, or variant
• Analyzing return reasons and policy effectiveness
• Tracking refund vs exchange behavior
• Measuring return processing times and bottlenecks
• Evaluating return shipping costs and fees
• Improving customer experience through return insights
The connector provides access to a wide range of ReturnGO returns data, including:
• RMA summaries and statuses
• Return events and approval workflows
• Item-level return details and validation status
• Refund, exchange, and pricing data
• Return shipping and tracking information
• Customer and return address details
This data supports both operational returns management and strategic returns analytics.
















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