AEP integrations fall into two categories: Sources (data coming IN to AEP) and Destinations (data going OUT from AEP). Understanding this distinction is fundamental to architecting your data flows.
Adobe Experience Cloud Integrations
AEP serves as the backbone for Adobe's entire Experience Cloud suite. These native integrations offer the deepest functionality and real-time data sharing.
Adobe Analytics
Stream Analytics data into AEP for unified profiles. Enrich Analytics segments with AEP audience data.
Adobe NativeAdobe Target
Real-time personalization using AEP segments. Edge-based decisioning with millisecond latency.
Adobe NativeAdobe Campaign
Orchestrate email campaigns with AEP audiences. Sync customer profiles for personalized messaging.
Adobe NativeJourney Optimizer
Build customer journeys powered by unified profiles. Trigger real-time actions based on behavior.
Adobe NativeCustomer Journey Analytics
Analyze cross-channel journeys using AEP data. No data movement required—queries run directly.
Adobe NativeMarketo Engage
B2B marketing automation with AEP audiences. Sync leads and accounts bidirectionally.
Adobe NativeHow Adobe Integrations Work
Adobe-to-Adobe integrations leverage the Experience Platform Edge Network for real-time data sharing:
// Web SDK sends data to Edge Network
alloy("sendEvent", {
"xdm": {
"eventType": "web.pageView",
"web": {
"webPageDetails": {
"name": "Product Detail Page",
"URL": "https://example.com/product/123"
}
}
}
});
// Edge Network simultaneously:
// 1. Writes to AEP Data Lake
// 2. Updates Real-Time Customer Profile
// 3. Sends to Adobe Analytics
// 4. Triggers Adobe Target personalization
// 5. Evaluates Journey Optimizer triggers
Advertising Destinations
Activate your AEP audiences across major advertising platforms for targeted campaigns and suppression.
Google Ads & DV360
Customer Match audiences. Reach known customers across Search, Display, and YouTube.
AdvertisingMeta (Facebook/Instagram)
Custom Audiences for targeted advertising. Real-time audience sync for campaigns.
AdvertisingMatched Audiences for B2B targeting. Account-based marketing at scale.
AdvertisingThe Trade Desk
First-party data activation. Privacy-safe targeting across the open internet.
AdvertisingTikTok
Custom Audiences activation. Engage Gen Z and millennial audiences.
AdvertisingAmazon Ads
Audience activation on Amazon DSP. Reach shoppers with purchase intent.
AdvertisingAdvertising destinations require hashed identifiers (email, phone) for matching. Match rates typically range from 30-70% depending on your data quality and the platform's user base overlap.
Email & Marketing Automation
Send AEP audiences to email platforms for personalized campaigns and lifecycle marketing.
Salesforce Marketing Cloud
Audience sync for Journey Builder. Personalize email with profile attributes.
Email/MarketingBraze
Real-time user attribute sync. Trigger campaigns based on AEP events.
Email/MarketingKlaviyo
E-commerce focused audience activation. Sync customer segments and attributes.
Email/MarketingIterable
Cross-channel campaign orchestration. User profile and event sync.
Email/MarketingCRM & Sales Platforms
Connect AEP with CRM systems for unified customer views and sales enablement.
Salesforce CRM
Bidirectional sync of contacts and accounts. Enrich sales data with marketing signals.
CRMMicrosoft Dynamics 365
Contact and lead synchronization. Unified B2B customer profiles.
CRMHubSpot
Contact sync for SMB CRM. Marketing and sales alignment.
CRMOracle CX
Enterprise CRM integration. Complex B2B data models supported.
CRMCloud Storage & Data Warehouse
Export AEP data to cloud storage for further analysis, ML training, or data archival.
Amazon S3
Export audiences and profiles to S3 buckets. Support for Parquet and JSON formats.
Cloud StorageSnowflake
Direct data sharing without file exports. Real-time query access to AEP data.
Cloud StorageGoogle Cloud Storage
Export to GCS for BigQuery integration. Native GCP workflow support.
Cloud StorageDatabricks
Feed AEP data into Lakehouse architecture. ML model training with customer data.
Cloud StorageSource Connectors (Data Ingestion)
AEP sources bring data INTO the platform. Here are the major categories:
Adobe Sources
- Adobe Analytics — Historical and streaming data import
- Adobe Audience Manager — Segment and trait migration
- Adobe Campaign — Email engagement data
- Marketo — B2B marketing data and leads
Cloud Storage Sources
- Amazon S3 — Batch file ingestion
- Azure Blob — Microsoft cloud data import
- Google Cloud Storage — GCP data ingestion
- SFTP — Legacy file transfers
Database Sources
- Amazon Redshift — Data warehouse queries
- Google BigQuery — Analytics data import
- Snowflake — Cloud data platform
- PostgreSQL / MySQL — Operational databases
Streaming Sources
- HTTP API — Real-time event streaming
- Apache Kafka — Event stream ingestion
- Amazon Kinesis — AWS streaming data
- Azure Event Hubs — Microsoft streaming
API & Custom Integrations
For destinations not covered by native connectors, AEP provides flexible APIs:
HTTP API Destination
Send audiences to any HTTP endpoint. Useful for custom applications and unsupported platforms.
// Example: Custom webhook destination payload
{
"type": "SEGMENT_MEMBERSHIP",
"segmentMembership": {
"namespace1": {
"segment_id_1": {
"status": "realized",
"lastQualificationTime": "2025-04-10T10:00:00Z"
}
}
},
"identityMap": {
"email": [{
"id": "[email protected]",
"primary": true
}]
},
"attributes": {
"firstName": "John",
"loyaltyTier": "gold"
}
}
Integration Best Practices
Start with Identity Strategy
Define your identity namespaces before connecting sources and destinations. Poor planning leads to fragmented profiles.
Use Streaming Where Possible
Streaming integrations update profiles in real-time. Batch introduces latency. Design for streaming-first.
Implement Governance First
Apply data labels BEFORE connecting destinations. It's much harder to retrofit governance after data is flowing.
Monitor Integration Health
Track ingestion success rates, profile update latency, destination errors, and identity graph quality.
AEP pricing is based on data volume (profiles, events). Estimate growth before enabling high-volume integrations. Start with highest-value data sources and expand systematically.
Related Topics
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