Bloom: Profit Analytics
  • ♾️Bloom Profit Analytics
  • 🚍Getting Onboard
  • 🔛Data Synchronization
  • 🏛️Dashboard
  • 📶Profit Analysis
    • Profit Metrics
    • Profit Map
  • 🧮Cohort Analysis
  • 🧥Product Analysis
  • 🪢Integrations
  • 👩‍🏫Setting Up Costs and Expenses
  • 🏪Multi-Store
  • 🔗Bloom Pixel
  • 🔗UTM Parameter Guide
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  • Data Points Synced
  • Protocols and APIs
  • Factors Affecting Sync Time
  • Handling Large Data Sets
  • Troubleshooting Sync Issues
  • Data Security and Integrity
  • Integrated App Data Sync

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Data Synchronization

See how Bloom collects data from various platforms, including Shopify. Also learn about troubleshooting data sync issues.

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Last updated 6 months ago

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Bloom's automated data sync process makes it easy for Bloom and Shopify to share important data, helping merchants get accurate reports and insights. Here's what happens when Bloom connects with Shopify:

Initiation

As soon as Bloom is installed, it starts pulling the required information from the Shopify store's records.

Data Fetch

Bloom gathers details like orders, products, customers, transactions, and payouts from the Shopify store. This step is crucial for creating detailed reports.

Frequency

Right after setup, Bloom gets data from the last seven days to start off the reporting. The historical data is then collected in monthly batches.

Automated and Manual Sync

To keep information current, Bloom automatically updates data every 24 hours. Store owners can also choose to update data manually anytime via the app settings.

Data Points Synced

Bloom collects the following vital information for accurate reporting and insights.

  • Orders

  • Products

  • Customers

  • Transactions

  • Payouts

Bloom uses Shopify's APIs for a smooth and secure data exchange, adhering to Shopify’s rules for app integration.

Your sync times are impacted by:

  • Data Volume: Larger data volumes take longer to sync

  • API Call Limit: Your chosen Shopify plan determines how frequently and quickly data is synced

Bloom is programmed to prioritize critical data points of a Shopify store and process them in parallel. This technique saves valuable time when handling large data volumes, improving sync efficiency and accuracy.

Bloom takes the following steps to ensure data security, privacy, and integrity during sync:

  • Encrypting data transfers using latest industry-standard protocols

  • Using secure methods to check user identity

  • Conducting meticulous data validation for consistency and accuracy

Bloom syncs with third-party integrated apps like it does with Shopify, offering the same efficiency, accuracy, and data protection features. By concurrently synchronizing with these platforms, Bloom always maintains data consistency and compatibility. Merchants can look forward to actionable insights about their ad platforms, shipping platform, etc. derived from accurate, timely data.

Protocols and APIs

Factors Affecting Sync Time

Handling Large Data Sets

Troubleshooting Sync Issues

To fix these issues, check the app for error messages and follow the troubleshooting procedure provided, or Bloom's support team.

Data Security and Integrity

Integrated App Data Sync

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