Adobe Analytics Pricing

Understand the complete, cross-channel customer journey and interactions over time, connecting disparate data points.

Features

• End-to-end journey mapping (online & offline data
• Cross-channel attribution
• Advanced segmentation across diverse datasets
• Person-centric analysis
• Data stitching from multiple sources (CRM, loyalty, call center, etc.)
• Typical Data Sources
  • Web & Mobile Analytics data
  • CRM data
  • Point-of-Sale (POS) data
  • Call center logs
  • Loyalty program data
  • Marketing automation data
  • Adobe Experience Platform (AEP) data
• Key Integration Capabilities
  • Adobe Experience Platform (AEP): Native, foundational integration
  • Adobe Experience Cloud: Real-Time CDP, Journey Optimizer, Target, Adobe Analytics
  • Offline Systems: Via AEP connectors (CRM, POS, ERP, etc.).
  • Open APIs for custom data ingestion.

Analyze and optimize website and mobile app performance and user behavior within these specific digital properties.

Features

• Web and mobile app traffic analysis
• Conversion tracking & funnel analysis
• Real-time data reporting
• Segmentation based on digital interactions
• Pathing analysis within sites/apps
• Typical Data Sources
  • Website tracking tags (JavaScript, Web SDK
  • Mobile SDKs
  • Server-side data collection for web/app interactions
  • Data primarily from digital front-ends
• Key Integration Capabilities
  • Adobe Experience Cloud: Target, Audience Manager, Campaign, Advertising Cloud, Real-Time CDP (for audience sharing & activation)
  • Data Ingestion: Bulk Data Insertion API, Data Sources
  • Data Export: Data Warehouse, Data Feeds, Report API
  • Various third-party connectors via Adobe Exchange.
  • Adobe Experience Manager (AEM) Assets: For direct analysis of managed assets
  • Adobe Analytics: To correlate content attributes with broader web/mobile behavioral data
  • Adobe Experience Platform: For ingesting content interaction data for wider use
  • APIs for custom DAM or content source

Measure and understand the performance and impact of specific content assets (images, text, creative) on user engagement and conversion.

Features

• AI-powered content attribute analysis (e.g., color, emotion, keywords
• Asset performance tracking
• Correlation of content elements with user behavior & conversion
• Identification of content fatigue and optimization opportunities
• Typical Data Sources
  • In-product event tracking (SDKs, APIs
  • Mobile app SDKs
  • Feature flag systems data
  • Subscription & account data
  • Data directly from the product interface
• Key Integration Capabilities
  • Adobe Experience Manager (AEM) Assets: For direct analysis of managed assets
  • Adobe Analytics: To correlate content attributes with broader web/mobile behavioral data
  • Adobe Experience Platform: For ingesting content interaction data for wider use
  • APIs for custom DAM or content source integration.

Adobe Product Analytics simplifies digital product analysis, uncovering insights to boost engagement and customer loyalty effectively.

Features

• Data collection and processing
• Product and user analysis
• Audience activation, orchestration, and publishing
• Typical Data Sources
  • In-product event tracking (SDKs, APIs
  • Mobile app SDKs
  • Feature flag systems data
  • Subscription & account data
  • Data directly from the product interface
• Key Integration Capabilities
  • Built on/with Customer Journey Analytics technology: Leverages AEP data views
  • Adobe Experience Cloud: Journey Optimizer (for activating user segments), Target (for personalization), Real-Time CDP
  • Data export for use in other BI or data warehousing tools.