Adobe Analytics Integrations | Blue Frog Docs

Adobe Analytics Integrations

Integrations linking Adobe Analytics with ad platforms, CMS tooling, and downstream analytics.

Integration Overview

Adobe Analytics offers extensive integration capabilities within the Adobe Experience Cloud ecosystem and with external platforms. These integrations enable seamless data flow, audience activation, and cross-platform optimization for enterprise-scale digital analytics.

Adobe Experience Cloud Integrations

Adobe Audience Manager (AAM)

Server-Side Forwarding:

Enable real-time data sharing between Analytics and AAM for unified audience management.

Configuration:

  • Navigate to Analytics Admin > Report Suites
  • Enable Server-Side Forwarding
  • Configure AAM destination
  • Map Analytics variables to AAM traits

Benefits:

  • Share Analytics segments with AAM for activation
  • Enrich Analytics data with AAM audience traits
  • Unified visitor profiles across platforms
  • Real-time segment qualification

Adobe Target

Analytics for Target (A4T):

Measure Adobe Target personalization and testing effectiveness using Analytics as the reporting source.

Setup Steps:

  1. Enable A4T in Target admin
  2. Configure Analytics as reporting source
  3. Map Target activities to Analytics
  4. Create calculated metrics for lift analysis

Use Cases:

  • Measure Target test performance in Analytics
  • Use Analytics segments for Target personalization
  • Deep dive on test participant behavior
  • Combine experimentation with analytics insights

Adobe Campaign

Campaign Integration:

Connect email, SMS, and push campaign data with web analytics.

Data Flow:

  • Campaign sends delivery data to Analytics
  • Analytics tracks campaign conversions
  • Profiles enriched with behavioral data
  • Cross-channel attribution reporting

Tracking Implementation:

// Track campaign clicks
s.campaign = getQueryParam('cid')
s.eVar1 = getQueryParam('utm_source')
s.eVar2 = getQueryParam('utm_campaign')
s.t()

Adobe Experience Manager (AEM)

Content Analytics:

Track content performance and personalization effectiveness.

Features:

  • Content component tracking
  • Author attribution
  • Personalization effectiveness
  • A/B testing of content
  • Multi-site analytics

Adobe Real-Time CDP

Segment Sharing:

Bidirectional segment and audience sharing for activation.

Configuration:

  • Set up Adobe Experience Cloud ID Service
  • Enable segment sharing in Admin
  • Map segment definitions
  • Configure activation destinations

CRM Integrations

Salesforce

Data Connector Setup:

  1. Install Adobe Analytics connector from Salesforce AppExchange
  2. Authenticate with both platforms
  3. Map Analytics dimensions to Salesforce fields
  4. Configure sync schedule

Sync Capabilities:

  • Lead source attribution
  • Opportunity tracking
  • Campaign ROI measurement
  • Account-based analytics
  • Sales cycle analysis

Common Field Mappings:

  • eVar → Lead Source
  • Campaign → Campaign ID
  • Revenue → Opportunity Amount
  • Events → Activity Tracking

Microsoft Dynamics 365

Integration Methods:

  • Native connector from Azure Marketplace
  • Power Automate workflows
  • Custom API integration
  • Azure Data Factory

Use Cases:

  • Marketing attribution to sales
  • Customer journey across systems
  • Unified reporting
  • Lead scoring insights

Marketing Automation

Marketo

Integration Options:

Data Source Connector:

  • Automatic data sync
  • Lead behavior tracking
  • Campaign effectiveness measurement
  • Program ROI analysis

Configuration:

  1. Navigate to Admin > Data Sources
  2. Select Marketo connector
  3. Authenticate with Marketo API credentials
  4. Map fields and configure sync

Eloqua

Oracle Eloqua Connector:

  • Bidirectional data synchronization
  • Campaign tracking in Analytics
  • Lead scoring integration
  • Form submission analytics
  • Email engagement metrics

Advertising Platform Integrations

Search Ads Integration:

Automatically import Google Ads data into Analytics.

Setup:

  1. Link Google Ads account in Admin
  2. Enable auto-tagging in Google Ads
  3. Configure cost data import
  4. Set up conversion tracking

Available Metrics:

  • Clicks, Impressions, Cost
  • Ad Position, Quality Score
  • Campaign, Ad Group performance
  • Keyword-level analysis

Facebook/Meta Ads

Integration Approach:

Manual Tracking:

Audience Sharing:

  • Export Analytics segments
  • Create Custom Audiences
  • Build Lookalike Audiences
  • Cross-platform measurement

Display Advertising (DV360, TTD)

Capabilities:

  • Segment export for targeting
  • Campaign data import
  • Cross-platform attribution
  • Frequency management
  • Viewability analysis

Data Warehouse Integrations

Google BigQuery

Data Feed Export:

Configure automated exports to BigQuery for advanced analysis.

Setup Process:

  1. Create BigQuery dataset
  2. Configure Adobe Data Feed
  3. Set export schedule (hourly/daily)
  4. Create external tables
  5. Build SQL transformations

Use Cases:

  • Machine learning on Analytics data
  • Advanced SQL analysis
  • Long-term data storage
  • Cross-source data joins

Snowflake

Adobe Analytics Connector:

Native connector for seamless data loading.

Features:

  • Automated data pipeline
  • Incremental updates
  • Schema evolution
  • Performance optimization
  • Integration with Snowflake ecosystem

Business Intelligence Tools

Tableau

Adobe Analytics Connector:

Native connector for live connection to Analytics data.

Capabilities:

  • Real-time dashboard creation
  • Drag-and-drop interface
  • Custom calculations
  • Blending with other data sources
  • Scheduled extracts

Connection Setup:

  1. Install Tableau Desktop
  2. Connect to Adobe Analytics
  3. Authenticate with Adobe ID
  4. Select report suite
  5. Choose dimensions and metrics

Power BI

Connector Features:

  • Scheduled data refresh
  • DirectQuery mode (limited)
  • Custom measures and columns
  • Cross-source relationships
  • Power Query transformations

Best Practices:

  • Use Import mode for better performance
  • Limit data ranges for faster refresh
  • Create aggregation tables
  • Optimize with query folding

Looker

Integration Method:

Connect via Adobe Analytics API or data feeds.

LookML Model:

  • Define dimensions and measures
  • Create explores for analysis
  • Build reusable data models
  • Schedule dashboard delivery

Customer Data Platforms

Segment

Adobe Analytics Destination:

Send Segment events directly to Adobe Analytics.

Configuration:

// Segment track call
analytics.track('Product Viewed', {
  product_id: '123',
  name: 'Widget',
  price: 29.99
})

// Automatically mapped to Analytics
// s.events = "prodView"
// s.products = ";123;Widget;1;29.99"

Benefits:

  • Unified event tracking
  • Multiple destination management
  • Consistent data taxonomy
  • Easy implementation updates

mParticle

Adobe Analytics Kit:

Pre-built integration for event forwarding.

Features:

  • Automatic event mapping
  • User identity resolution
  • Data filtering and transformation
  • Real-time and batch modes

Tag Management

Adobe Experience Platform Launch (Tags)

Native Integration:

Built specifically for Adobe Analytics deployment.

Key Features:

  • Visual rule builder
  • Data element management
  • Extension marketplace
  • Version control and publishing
  • Environment management

Typical Setup:

  1. Install Analytics extension
  2. Configure report suites
  3. Create data elements
  4. Build tracking rules
  5. Publish library

Google Tag Manager

Custom Implementation:

Deploy Analytics via GTM custom HTML tags.

Requirements:

  • Load AppMeasurement library
  • Initialize s object
  • Set variables via data layer
  • Fire tracking calls

Considerations:

  • Additional complexity vs Launch
  • Careful variable mapping needed
  • Testing critical before production

API and Data Export

Analytics 2.0 API

Authentication:

OAuth 2.0 or JWT authentication for API access.

Common Use Cases:

  • Automated reporting
  • Custom dashboards
  • Data exports
  • Administrative automation

Example API Call:

curl -X POST "https://analytics.adobe.io/api/COMPANY_ID/reports" \
  -H "Authorization: Bearer ACCESS_TOKEN" \
  -H "x-api-key: CLIENT_ID" \
  -d '{
    "rsid": "your-rsid",
    "metricContainer": {
      "metrics": [{"id": "metrics/pageviews"}]
    }
  }'

Data Feeds

Automated Export:

Hourly or daily raw data exports for advanced processing.

Configuration Options:

  • Destination (FTP, S3, Azure Blob)
  • File format (CSV, TSV, JSON)
  • Compression (gzip, zip)
  • Column selection
  • Scheduling

Use Cases:

  • Data warehouse loading
  • Machine learning pipelines
  • Custom reporting
  • Long-term archival

Compliance and Security

Data Governance:

  • Data Processing Agreements (DPA)
  • Privacy shield compliance
  • GDPR and CCPA adherence
  • SOC 2 Type II certification

Integration Security:

  • OAuth 2.0 authentication
  • API rate limiting
  • IP whitelisting
  • Encryption in transit
  • Access logging and monitoring

Best Practices

Integration Management:

  1. Document all active integrations
  2. Regular health monitoring
  3. Version control for configs
  4. Staging environment testing
  5. Change management process

Data Quality:

  • Validate data mapping
  • Monitor integration errors
  • Set up alerting
  • Regular data audits
  • Reconciliation processes

Performance:

  • Batch vs real-time tradeoffs
  • API rate limit management
  • Optimize data volumes
  • Cache where appropriate

 

 

Related Resources:

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