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Adobe Customer Journey Analytics

Score8.3 out of 10

124 Reviews and Ratings

What is Adobe Customer Journey Analytics?

Adobe's Customer Journey Analytics is a service built on Adobe Experience Platform that lets the user join all data from every channel into a single interface for real-time, omnichannel analysis and visualization, allowing users to make better decisions with a holistic view of the business and the context behind every customer action.

Media

Screenshot of Graph-Based Stitching in Adobe Customer Journey Analytics
Screenshot of Derived Fields in Adobe Customer Journey Analytics
Screenshot of Data Views in Adobe Customer Journey Analytics
Screenshot of Data Governance in Adobe Customer Journey Analytics
Screenshot of AI Assistant in Adobe Customer Journey Analytics
Screenshot of Attribution Models in Adobe Customer Journey Analytics

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Screenshot of Graph-Based Stitching in Adobe Customer Journey Analytics

Adobe Customer Journey Analytics is great for Enterprise customers.

Use Cases and Deployment Scope

I use Customer journey analytics to monitor my business KPIs and to review Adobe Target A/B test results. I check my dashboards each day to monitor performance and connect my web activities to performance and business outcomes.

Pros

  • Monitor KPI's.
  • Monitor test performance.
  • Visualize performance.
  • Find trends.

Cons

  • More options to export charts and data.
  • More integrations into other products, like teams.

Return on Investment

  • It allows the business to put an ROI on activities.
  • Easily visualize data.

Usability

Alternatives Considered

Google Analytics

Other Software Used

Adobe Target

Adobe Customer Journey Analytics

Use Cases and Deployment Scope

I migrate clients from GA4 or Adobe Analytics to CJA. I teach them to build workspaces and build their high-level workspaces for them. I troubleshoot issues and provide the client with written documentation about their Adobe implementation (SDR, Data Dictionary, etc.). I continue to support the client with office hours.

Pros

  • Drag and drop UI.
  • Handling derived components at the time a query/workspace runs.
  • Customization of your implementation.

Cons

  • Documentation and training.
  • Hourly Smart Alerts are missing.
  • AI Summaries are often missing key insights or focus on weird things.
  • Calculated Metrics and segments can be very finicky on setup and could use suggestions to user on what could improve them.

Return on Investment

  • As a consultant specializing in implementation, this has been very good for my business objectives.
  • My clients have found it very useful, as long as they receive training and support on how to use it. I have worked at organizations where it is not properly utilized because people are "afraid" to learn it.
  • It has delivered key insights for organizations, leading to improvements in their site design and conversion funnel.

Usability

Alternatives Considered

Adobe Analytics, Google Analytics, Google BigQuery, Glassbox and LogRocket

Other Software Used

Google Sheets

Adobe remains a top contender in the sector of user experience.

Use Cases and Deployment Scope

The product allows us to understand the different journeys our users take on our site, and for me and members of my team to track and better understand them. It also allows us to outline key areas for our users, delegate resources to review and improve those sections, and ensure user journeys are as usable and accessible as possible.

Pros

  • AI powered insight.
  • Building dashboards that can be shared with stakeholders.
  • Better visualization of user journeys.
  • Real time updates of site analytics.

Cons

  • It's quite a complex system to learn and takes some initial training, and better training resources.
  • Overkill at times for just analytics, GA4 offers better if used for that analytics.
  • Cost could be improved as current resource is rather expensive.

Return on Investment

  • Identification of key areas/journeys.
  • Increase traffic to key landing pages.
  • Improved accessibility issues on key pages to improve overall user experience.

Usability

Alternatives Considered

Google Analytics, Squiz Digital Experience Platform and Siteimprove

Other Software Used

Google Analytics, Siteimprove, Looker Studio

Amazing tool to analyze customer journey across channels

Use Cases and Deployment Scope

We used Adobe Customer Journey Analytics to track traffic, customer behavior along with a unified view integrating customer data from entire lifecycle. We wanted to understand the customer journey to attribute sales based on customer behavior and find gaps/drops in the customer journey. These data points were used to optimize the campaigns across different customer segments.

Pros

  • Unifying data from multiple sources for customer licefycle
  • Customizable dashboards with self help reports
  • Flexible data modeling allowing for individual as well as segment based analysis

Cons

  • Derived fields can be tedious to create
  • Initial setup with multiple channels data can be difficult
  • Pricing can be better for smaller teams

Return on Investment

  • Significant impact on experimentation and targeting across segments
  • Faster insights through unified data with easy to create reports
  • Remediation of broken customer journeys through easy identification of significant drop-offs

Usability

Alternatives Considered

Google Analytics

Other Software Used

Adobe Marketo Engage, Google BigQuery, Microsoft Power BI

Adobe Customer Journey Analytics success

Use Cases and Deployment Scope

We use Adobe Customer Journey Analytics as our unified cross‑channel measurement layer, enabling us to connect digital, CRM, operational, and commercial data into a single customer‑centric view. It allows us to move beyond siloed reporting and understand end‑to‑end journeys, diagnose friction, and activate insights across marketing, product, and operations.

Pros

  • Unifies data from multiple systems into a single customer view
  • Enables true cross‑channel, cross‑device journey analysis
  • Provides flexible, schema‑less data modeling
  • Insight and reporting
  • Allows deep, ad‑hoc exploration with no SQL required
  • Supports advanced attribution and contribution analysis

Cons

  • Data onboarding can be complex and resource‑heavy
  • Limited real‑time capabilities for certain datasets
  • Identity stitching can be challenging without a mature identity strategy
  • Visualizations are powerful but not always executive‑friendly
  • Learning curve for non‑technical teams

Return on Investment

  • Increased revenue through funnel optimisation
  • Higher media efficiency and reduced acquisition cost
  • Reduced cost‑to‑serve
  • Improved operational efficiency
  • Faster decision‑making across teams

Usability

Alternatives Considered

Adobe Workfront, Adobe Target and Adobe Experience Platform

Other Software Used

Contentsquare