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 analyze cross-channel customer data to gain a complete view of every interaction. CJA helps you understand complex journeys and optimize 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 personalized recommendation or to see these tools in action, Contact an Adobe Expert Today or Request a Personalized 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.
Analyze and optimize website and mobile app performance and user behavior 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 optimization
- 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 offline 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 behavioral analytics.
- Creative Intelligence: Unique AI-driven analysis of content attributes and their direct impact on user behavior
- 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 behavior 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 & offline data
- Cross-channel attribution
- Advanced segmentation across diverse datasets
- Person-centric analysis
- Data stitching from multiple sources (CRM, loyalty, call center, 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., color, emotion, keywords
- Asset performance tracking
- Correlation of content elements with user behavior & conversion
- Identification of content fatigue and optimization 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 personalization strategy based on a holistic customer view
- Optimizing 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
- Optimizing 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
- Prioritizing 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 center logs
- Loyalty program 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 behavioral 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 behavior 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
- Offline Systems: Via AEP connectors (CRM, POS, ERP, etc.).
- Open APIs for custom 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 behavioral data
- Adobe Experience Platform: For ingesting content interaction data for wider use
- APIs for custom 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 personalization), Real-Time CDP
- Data export for use in other BI or data warehousing tools.
Learn more about which Adobe Analytics solution is right for you.
Navigating the powerful Adobe Analytics suite can transform how you understand your customers, optimize digital experiences, and drive growth. With specialized tools like Customer Journey Analytics, the classic Web and Mobile Analytics, insightful Content Analytics, and focused Product Analytics, Adobe offers a comprehensive toolkit.
But which solution is the right fit for your specific challenges, data sources, and integration needs? This guide provides a clear, SEO-optimized comparison to help you delineate user needs, identify the best solutions, understand target audiences, explore integration capabilities, and ultimately choose the most effective analytics product for your team. We aim to provide an easy-to-understand overview that empowers you to make data-driven decisions with confidence.
Choosing the right Adobe Analytics tool depends heavily on the primary questions you're trying to answer and the data you need to analyze, as outlined in the tables above.
- Customer Journey Analytics is ideal for a holistic, cross-channel view of the entire customer journey.
- Web and Mobile Analytics (Adobe Analytics) is your go-to for deep optimization of website and mobile app performance.
- Content Analytics provides unique AI-powered insights into your creative asset performance.
- Product Analytics is purpose-built for understanding and improving in-product user engagement and feature adoption.
Beyond selecting a product type, if you are considering the standard Adobe Analytics (Web and Mobile) offering or evaluating the strategic need for a unified customer view, further factors come into play.
Once you've identified the primary Adobe Analytics product type that aligns with your needs, several strategic factors should guide your investment, particularly when considering the different packages of Adobe Analytics (Web and Mobile) or the overarching need for a unified customer journey view with Customer Journey Analytics (CJA).
Adobe Analytics offers a robust, enterprise-focused suite of digital analytics tools, often structured across tiers like Select, Prime, and Ultimate, to cater to varying levels of organizational need and analytical maturity. Select provides a robust foundation for centralizing data and understanding website performance. Prime significantly enhances capabilities with cross-channel visibility, identity resolution, and more practical AI tools. Ultimate delivers the most comprehensive feature set, geared towards data-mature organizations requiring deep AI integration, extensive data enrichment, and maximum flexibility for complex experience optimization.
Consider the following strategic factors:
- Organizational maturity: An honest assessment of your organization's current analytics capabilities is crucial.
- Are teams just beginning to consolidate data and move beyond basic reporting? Select might be appropriate.
- Are they actively working on cross-channel personalization and leveraging segmentation? Prime offers the necessary tools.
- Is the organization highly data-driven, with dedicated analysts demanding advanced AI and deep data integration? Ultimate aligns with this level of maturity.
- Investing in a package far exceeding current capabilities can lead to underutilization.
- Data complexity and scale: Consider the volume of data, the number of digital properties, and the importance of cross-device/channel analysis.
- High traffic, multiple brands, or critical cross-device analysis needs may point to identity stitching and capabilities in Prime or Ultimate.
- Significant offline or CRM data integration needs also lean towards Prime (moderate) or Ultimate (extensive).
- Need for AI-driven insights: Evaluate the strategic importance of leveraging AI.
- For primarily descriptive reporting, Select might suffice.
- If proactive identification of change drivers (Contribution Analysis), audience discovery (Segment IQ), and predictive features are key, Prime or Ultimate becomes necessary.
- Existing Adobe ecosystem: Investments in other Adobe Experience Cloud products (e.g., Adobe Experience Manager AEM, Adobe Target) enhance Adobe Analytics' efficacy. Higher tiers often unlock deeper integrations. Organizations envisioning an Adobe Experience Platform-centric future should factor this in, as CJA might be part of a longer-term roadmap.
- Budget and Total Cost of Ownership (TCO): Adobe Analytics is a significant commitment. Factor in license fees, implementation, training, administration, and potentially specialized resources. Weigh TCO against anticipated ROI.
- Need for unified journey view: If the primary strategic goal is a truly unified view of the customer journey across all touchpoints (online, offline, call center, POS), standard Adobe Analytics packages may have limitations.
- This requirement strongly indicates the need to plan for and incorporate Customer Journey Analytics (CJA). Customer Journey Analytics, built on Adobe Experience Platform, is specifically designed for this holistic, cross-channel analysis.
Understanding these factors will help you not only choose the right product type but also the appropriate investment level and strategic approach to leveraging Adobe's powerful analytics capabilities for maximum business impact.
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.
Common factors that help us create a tailored quote include:
- Scope of implementation: The number of websites, apps, or data sources for each solution.
- Expected data volume: Monthly server calls, events, or data rows relevant to the chosen product(s).
- Specific features and capabilities: Access to advanced AI features, anomaly detection, etc., within a solution.
- Number of user licenses: How many team members will need access to each product.
- Cross-product integrations: Leveraging multiple Adobe Experience Cloud solutions together.
- Customization and professional services: Needs for custom setup, training, or ongoing strategic support for your selected tools.
- Contract length and terms: Multi-year agreements may offer different pricing structures.
Choosing an Adobe Analytics solution is an investment in understanding your customers, optimizing specific experiences (Journeys, Web/Mobile, Content, or Product), and driving significant business growth.
Our solutions empower you to:
- Make data-driven decisions with confidence using the right tool for the job.
- Personalize customer experiences at scale.
- Improve marketing ROI and campaign effectiveness.
- Enhance product engagement and user retention.
- Streamline content strategy for maximum impact.
We are committed to partnering with you to ensure you realize the full value of your analytics investment, whichever solution(s) you choose.
Get customized pricing for Adobe Analytics solutions.
CardTitle
Adobe Analytics Suite Pricing Guide
CardImage
CardDescription
Invest smarter in Adobe Analytics. Our guide helps you navigate pricing for CJA, Web/Mobile, Content, and Product solutions. Align features to your budget.
cardDate
2025-10-13
primaryTag
caas:content-type/product-page
Tags
caas:content-type/product-page, caas:products/adobe-analytics
