Integration Hub: Data mapping inconsistencies causing sync failures between AEP and external systems

CRM Adobe Experience Cloud
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1

We’re experiencing persistent sync failures between Adobe Experience Platform and our external marketing automation system through Integration Hub. The issue started after we added custom fields to our customer profile schema in AEP. The sync logs show “field mapping errors” but don’t specify which fields are problematic.

We’ve mapped approximately 45 custom fields including loyalty_tier, purchase_frequency, and engagement_score. The sync worked perfectly before the schema update, but now about 30% of profile updates fail to propagate. When we check the failed records, some custom fields appear as null in the destination system even though they contain valid data in AEP.

I suspect this might be related to schema version compatibility or how Integration Hub handles custom field mappings across different platform versions. Has anyone dealt with similar cross-platform sync issues when working with custom field mappings?

2

I want to add something important about the JSON payload structure that often gets overlooked. When Integration Hub sends data cross-platform, custom fields need to be properly nested in the payload structure. Here’s a typical example:

{
  "profile": {
    "standardFields": {...},
    "customFields": {
      "loyalty_tier": "gold",
      "engagement_score": 87
    }
  }
}

If your external system expects a flat structure but Integration Hub sends nested custom fields, the sync will fail silently. Check your connector’s payload transformation settings.

3

Let me provide a comprehensive solution addressing all three aspects of your sync issue:

Custom Field Mapping Configuration: First, you need to explicitly configure each custom field in Integration Hub. Navigate to Integration Hub > Connectors > [Your Connector] > Field Mappings. For each custom field (loyalty_tier, purchase_frequency, engagement_score), create an explicit mapping rule. The key is to use the correct field path notation:


Source: profile.customFields.loyalty_tier
Destination: customer.loyaltyTier
Transformation: Direct (or apply type conversion if needed)

Do this for all 45 custom fields. The “unmapped” status you’re seeing is expected behavior-Integration Hub requires explicit consent for custom field synchronization.

Schema Version Compatibility: You’ve updated the schema version selector, which is good, but there’s a second step. After changing the schema version, you must refresh the field cache. In Integration Hub, go to Connector Settings > Advanced > Refresh Schema Cache. This forces Integration Hub to re-query AEP for the current schema definition. Without this refresh, Integration Hub continues using cached field definitions from the previous schema version, causing mapping inconsistencies.

Additionally, enable schema version validation in your connector settings:


schemaValidation: enabled
strictTypeMatching: true
versionMismatchAction: logAndSkip

This configuration will log detailed information about any version mismatches without failing the entire sync batch.

Cross-Platform Sync Optimization: For reliable cross-platform sync, implement these three strategies:

  1. Payload Structure Alignment: Verify your external system’s expected JSON structure matches Integration Hub’s output. If your external system expects flat fields while Integration Hub sends nested custom fields, add a transformation layer. In Integration Hub, you can configure payload transformations under Connector Settings > Data Transformation > Custom Mapping.

  2. Batch Processing Configuration: The 30% failure rate suggests you might be hitting rate limits or timeout thresholds. Reduce your batch size from the default (usually 1000 records) to 250-500 records per sync batch. This gives Integration Hub more time to process complex custom field mappings:


batchSize: 500
retryAttempts: 3
retryDelay: 5000
  1. Field-Level Error Handling: Enable detailed field-level logging to identify which specific custom fields are causing failures. In Integration Hub logs, set the logging level to DEBUG for your connector, then filter for “field_mapping_error” events. This will show you exactly which fields are failing and why.

Verification Steps: After implementing these changes, test with a small subset of profiles (10-20) that previously failed. Monitor the Integration Hub sync logs for these specific records. You should see successful field mappings with entries like “customField.loyalty_tier: mapped successfully” for each custom field.

If you still see failures after this, check the data governance policies in AEP-sometimes custom fields have usage labels that restrict cross-platform sharing. Navigate to Data Governance > Usage Labels and verify your custom fields don’t have labels like “C2” (no export) or “C3” (no identity sharing) that would block Integration Hub sync operations.

The combination of explicit field mapping, proper schema version management, and optimized cross-platform sync settings should resolve your 30% failure rate. Let me know if you need help with any specific configuration step.

4

The 30% failure rate suggests you might have inconsistent data types across your custom fields. Integration Hub in AEC 2021 can be strict about type matching during cross-platform sync. For example, if your loyalty_tier field is defined as an integer in AEP but your external system expects a string, the sync will silently fail for those records. I’d recommend running a data type audit on both sides of the integration to identify mismatches.

5

Thanks for the suggestions. I checked the Integration Hub connector and found that the schema version was indeed set to the previous version. However, even after updating it to match our current AEP schema, we’re still seeing failures. The data type audit revealed that most fields are correctly matched, but I noticed the field mapping configuration shows some custom fields as “unmapped”. Is there a way to force Integration Hub to recognize all custom fields automatically, or do we need to map each one individually?

6

You’ll need to map custom fields individually-that’s actually a security feature to prevent accidental data exposure. Integration Hub won’t auto-map custom fields for cross-platform sync operations. Go to your connector configuration, find the Field Mapping section, and you should see a list of available source fields from AEP on the left and destination fields on the right. Map each custom field explicitly, paying attention to the transformation rules if the field names differ between systems.

7

I’ve seen this exact behavior when the field mapping configuration doesn’t account for schema version differences between systems. Integration Hub needs explicit mapping rules for custom fields, and the default auto-mapping often fails with newer field types. Check your Integration Hub connector settings-there’s usually a field mapping section where you can see which fields are actually being synchronized.

8

Another thing to consider is the field mapping order and dependencies. When you have multiple custom fields, Integration Hub processes them sequentially. If one field depends on another (like engagement_score might depend on purchase_frequency), and they’re mapped in the wrong order, you’ll get null values. Also, check if your schema version in Integration Hub matches your current AEP schema version-there’s a version selector in the connector configuration that needs to be updated manually after schema changes.