Initial product syncing and auto mapping

FeedOps is designed to facilitate the syncing and mapping of data for advertising and marketing channels. This guide outlines the essential steps for initial setup.

Initial sync

The initial sync begins once you've connected your store and created your account. This is a one-time process and can take anywhere from several minutes to 24 hours to complete. The duration depends on the number of SKUs in your store and the number of jobs in our queue. While the initial sync is in progress, feel free to proceed with the setup process and add channels as needed.

Auto-mapped fields

FeedOps auto-maps several fields for convenience, including:

  • Color
  • Brand
  • GTIN
  • MPN
  • Shipping Weight
  • Size
  • Description
  • Gender
  • Quantity
  • Price
  • Sale Price
  • RRP
  • Item ID
  • Image Link
  • Material
  • Title
  • Condition
  • Age Group
  • Pattern
  • Availability DateGoogle Product Category

Reviewing these mappings during setup is advised to ensure accuracy.

Checking and Managing Sync and Mapping

Navigate to Settings/Connection: This section is your hub for managing product data sync and mapping.

Key Actions:

  • Connection Details: Verify and test your connection credentials.
  • Attribute Mappings: Adjust auto-mapped attributes or map new ones not automatically detected.
  • Website Categories: Choose categories to include or exclude from FeedOps and all channels. Specific items can also be excluded from a particular channel in the products section.
  • Reprocess Feed: Manually trigger an update to reflect changes.

Note for Custom Integrations

If your store is on a custom integration, some or all of these features may be disabled. Contact support for any necessary changes.

Conclusion

Regular management of your FeedOps settings is crucial for accurate and efficient data synchronization and mapping. By following this guide, you ensure your product data aligns effectively with your business needs and channel requirements. Regular checks and updates are key to maintaining a robust data management system.