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ADOBE ANALYTICS PRICING

Your guide to investing in the right Adobe Analytics solution.

Ready to invest in the right analytics solution? This page provides an overview of how pricing is structured across the Adobe Analytics suite. Discover cost considerations for Customer Journey Analytics, Web/Mobile Analytics, Content Analytics and Product Analytics, find links to detailed information and learn about factors influencing your specific investment. Get clarity and connect for a tailored quote.

Explore pricing for specific Adobe Analytics solutions.

Find the analytics solution that best fits your needs and explore its specific pricing considerations. Each product page will provide more detail and options to engage with our team.

Adobe Customer Journey Analytics

Unify and analyse cross-channel customer data to gain a complete view of every interaction. CJA helps you to understand complex journeys and optimise experiences.

Web and Mobile Analytics

The industry-leading solution for deep insights into your website and mobile app performance. Available in flexible packages (Select, Prime, Ultimate) to match your needs.

Adobe Content Analytics

Understand the performance and impact of your specific content assets on user engagement and conversion through AI-powered insights.

Adobe Product Analytics

Gain insights into how users engage with your digital products and features to improve adoption, retention and overall product experience.

Adobe Analytics Solutions: Strategic Focus & Audience

This table outlines the primary goals, intended users and unique positioning of each analytics product.

Explore our detailed comparison tables below to see how each Adobe Analytics product stacks up across various strategic and functional aspects. For a personalised recommendation or to see these tools in action, Contact an Adobe Expert Today or Request a Personalised Demo.

We've broken down the comparison into key areas to help you quickly scan and find the information most relevant to your decision-making process.

Feature/Aspect

Customer Journey Analytics

Web and mobile analytics

Content Analytics

Product Analytics

Primary User Need
Understand the complete, cross-channel customer journey and interactions over time, connecting disparate data points.
Analyse and optimise website and mobile app performance and user behaviour within these specific digital properties.
Measure and understand the performance and impact of specific content assets (images, text, creative) on user engagement and conversion.
Understand user engagement with digital products and features to improve adoption, retention and overall product experience.
Target Audience
  • Marketing Analysts
  • Data Scientists
  • Customer Experience (CX) Professionals
  • Business Strategists
  • Teams needing a holistic customer view
  • Digital Marketing Managers
  • Web Analysts
  • Mobile Product Managers
  • SEO/SEM Specialists
  • Teams focused on owned digital property optimisation
  • Content Strategists
  • Creative Teams & Designers
  • Marketing Managers Brand Managers Teams focused on creative performance and ROI
  • Product managers
  • UX/UI designers
  • Growth teams and marketers
  • Engineering leads
  • Teams focused on in-product experience and feature success
Key Differentiators (from others in this list)
  • Broadest view: Connects online and off-line data for a complete customer picture
  • Flexibility: Designed to stitch disparate data sources into a unified customer profile for holistic analysis. Enables analysis beyond web/mobile.
  • Established & Deep: Deep focus on owned digital properties (websites, apps
  • Core Digital Analytics: Well-established for comprehensive web-centric and mobile app-centric behavioural analytics.
  • Creative Intelligence: Unique AI-driven analysis of content attributes and their direct impact on user behaviour
  • Asset-Level ROI: Focuses on the "why" behind content performance at a granular, creative element level.
  • Product-centric insights: Purpose-built for understanding in-product user behaviour and feature adoption.
  • Guided workflows: Offers guided analyses tailored for common product management questions

Adobe Analytics Product Solutions: Core Functionality & Use Cases

Feature/Aspect

Customer Journey Analytics

Web and mobile analytics

Content Analytics

Product Analytics

Core Solutions/ Capabilities
  • End-to-end journey mapping (online & off-line data
  • Cross-channel attribution
  • Advanced segmentation across diverse datasets
  • Person-centric analysis
  • Data stitching from multiple sources (CRM, loyalty, call centre etc.)
  • Web and mobile app traffic analysis
  • Conversion tracking & funnel analysis
  • Real-time data reporting
  • Segmentation based on digital interactions
  • Pathing analysis within sites/apps
  • AI-powered content attribute analysis (e.g., colour, emotion, keywords
  • Asset performance tracking
  • Correlation of content elements with user behaviour & conversion
  • Identification of content fatigue and optimisation opportunities
  • Product feature usage tracking
  • User onboarding and retention analysis
  • Friction identification in product workflows
  • Cohort analysis for product users
  • Impact analysis of new features and releases
Common Use Cases
  • Mapping the entire customer lifecycle from acquisition to retention
  • Understanding cross-channel marketing effectiveness & attribution
  • Identifying points of friction or churn across the entire journey
  • Powering advanced personalisation strategy based on a holistic customer view
  • Optimising website conversion funnels & landing pages
  • Improving mobile app engagement, retention & task completion
  • Understanding content consumption patterns on web/mobile
  • Measuring marketing campaign impact on site/app traffic & specific actions
  • Identifying which image attributes or copy styles drive higher engagement/conversion
  • Optimising creative assets and ad variants for better performance
  • Understanding content fatigue and informing content refresh strategies
  • Informing future content creation with data-backed insights on what resonates
  • Improving user onboarding flows to increase activation
  • Increasing adoption and usage of key product features
  • Reducing churn by identifying and addressing user pain points within the product
  • Prioritising product development efforts and roadmap based on usage data and user feedback

Adobe Analytics Product Solutions: Data Handling & Integrations

When you connect with our team to discuss the specific Adobe Analytics solution(s) you're considering, we'll work to understand your unique situation.

Feature/Aspect

Customer Journey Analytics

Web and mobile analytics

Content Analytics

Product Analytics

Typical Data Sources
  • Web & Mobile Analytics data
  • CRM data
  • Point-of-Sale (POS) data
  • Call centre logs
  • Loyalty programme data
  • Marketing automation data
  • Adobe Experience Platform (AEP) data
  • Website tracking tags (JavaScript, Web SDK
  • Mobile SDKs
  • Server-side data collection for web/app interactions
  • Data primarily from digital front-ends
  • Website image data & attributes
  • Digital Asset Management (DAM) systems (metadata
  • Web analytics data (for behavioural context)
  • Adobe Experience Manager (AEM) Assets
  • Creative element data
  • In-product event tracking (SDKs, APIs
  • Mobile app SDKs
  • Feature flag systems data
  • Subscription & account data
  • Data directly from the product interface
Granularity of Analysis
  • Individual customer journeys across all touchpoints
  • Long-term customer behaviour patterns
  • Unified profiles for deep dives
  • Aggregated website/app trends & metrics
  • Session-based and hit-level analysis
  • User flows within specific digital properties
  • Specific content elements (e.g., image attributes, copy variations
  • Performance of individual creative assets
  • Attribute-level impact on engagement
  • User interaction with specific product features & UI elements
  • User segments based on product activity & adoption
  • Feature-level funnel analysis
Key Integration Capabilities
  • Adobe Experience Platform (AEP): Native, foundational integration
  • Adobe Experience Cloud: Real-Time CDP, Journey Optimizer, Target, Adobe Analytics
  • Off-line Systems: Via AEP connectors (CRM, POS, ERP etc.).
  • Open APIs for customised data ingestion.
  • 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 behavioural data
  • Adobe Experience Platform: For ingesting content interaction data for wider use
  • APIs for customised DAM or content source integration.
  • Built on/with Customer Journey Analytics technology: Leverages AEP data views
  • Adobe Experience Cloud: Journey Optimizer (for activating user segments), Target (for personalisation), Real-Time CDP
  • Data export for use in other BI or data warehousing tools.

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