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Adobe Systems

Adobe Analytics

Composite Score

8.2 /10

CX Score

8.3 /10

23 Reviews Write a Review

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What is Adobe Analytics?

Adobe empowers marketing, product, and business teams with insights to understand their customers and the journeys they take across channels, products, content, and services. Their advanced analytics solution was purpose-built to let your teams deliver and evaluate exceptional customer experiences - faster.

Company Details

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Adobe Analytics Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

90 Likeliness to Recommend

95 Plan to Renew

80 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+88 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Adobe Analytics?

9% Negative

4% Neutral

87% Positive

Pros

Generous Negotitation
Over Delivered
Saves Time
Respectful

Feature Ratings

Average 82

3rd-Party Integrations

Audience Segmentation

Marketing Analytics

Product Analytics

Customer Identity

Privacy, Security, and Regulatory Compliance

Behavioural Analytics

Predictive Analytics

Customer Journey Modelling

Dashboards, Analytics and Reporting

Cross-Channel Engagement Analytics

Vendor Capability Ratings

Average 81

Ease of Customization

Availability and Quality of Training

Usability and Intuitiveness

Quality of Features

Ease of Implementation

Product Strategy and Rate of Improvement

Ease of Data Integration

Business Value Created

Ease of IT Administration

Vendor Support

Breadth of Features

Also Featured in...

Website Analytics

Score 8.8

View Adobe Analytics in this category (opens in a new tab)

Product Analytics

Score 8.2

View Adobe Analytics in this category (opens in a new tab)

Customer Intelligence

Score 8.1

View Adobe Analytics in this category (opens in a new tab)

Voice of the Customer

Score 8.0

View Adobe Analytics in this category (opens in a new tab)

Adobe Analytics Reviews

Utkarsh S.

Role: Sales Marketing
Industry: Insurance
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2026

Good in every aspect and industry leader

Likeliness to Recommend

10 /10

What differentiates Adobe Analytics from other similar products?

Adobe analytics provides with custom tracking across products and logic building. This helps us to track each and every metric fulfililing business KPI and helps us to deliver good end user results.

What is your favorite aspect of this product?

Integration across multiple other products.

What do you dislike most about this product?

Bit costly but it’s worth it

What recommendations would you give to someone considering this product?

Checkout the size of business and feasibility before going for the products. Works absolutely best for big businesses.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Sujeet K.

Role: Consultant
Industry: Healthcare
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2026

A adobe analytics product owner over a decade ❤️

Likeliness to Recommend

10 /10

What differentiates Adobe Analytics from other similar products?

CJA, Adobe Target, Audience Manager

What is your favorite aspect of this product?

Customization and intergration

What do you dislike most about this product?

Customization and integration

What recommendations would you give to someone considering this product?

Need to understand the capability of product and your business need

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Ankita T.

Role: Information Technology
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jan 2026

Deep data analysis for serious teams

Likeliness to Recommend

10 /10

What differentiates Adobe Analytics from other similar products?

It’s the audience segmentation that makes it different. I can break down users by behavior and channel, which helps us tailor marketing and improve performance more effectively than with simpler tools.

What is your favorite aspect of this product?

I really like the segmentation features. It’s easy to break audiences into groups and see how different users behave across channels.

What do you dislike most about this product?

I don’t like that I often need help from technical or analytics teams to build advanced reports. It’s not always as “self-service” as I’d like.

What recommendations would you give to someone considering this product?

Make sure your marketing and analytics teams are aligned from the beginning. Having the right people set things up will save a lot of time later.

Pros

Performance Enhancing
Includes Product Enhancements
Helps Innovate
Enables Productivity

Cons

Less Effective Service

Adobe Analytics

What is Adobe Analytics?

Company Details

Need Assistance?

Adobe Analytics Ratings

90 Likeliness to Recommend

95 Plan to Renew

80 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+88 Net Emotional Footprint

How much do users love Adobe Analytics?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

3rd-Party Integrations Integrates with a CDP or data layer to unify data from multiple systems for analysis and activation.

Audience Segmentation The ability to create and analyze discrete customer audience segments based on user-defined criteria or variables.

Marketing Analytics Tracks campaign performance, attribution, and marketing ROI.

Product Analytics Measures usage of specific features, adoption, retention, and engagement with a product.

Customer Identity Combine multichannel data into a single, cohesive view of each customer across touchpoints.

Privacy, Security, and Regulatory Compliance The vendor meets consumer privacy laws for the specific location (GDPR and CCPA), provides security, and complies with all other regulatory requirements.

Behavioural Analytics Capture user interactions across web, mobile, app, and product environments to build a complete behavioural picture.

Predictive Analytics Use machine learning to surface predictive insights and detect anomalies at scale, and provide data to make better decisions.

Customer Journey Modelling The ability to effectively model and display customer behaviors or journeys through multiple channels and touchpoints.

Dashboards, Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting, forecasting & easy data extraction for data analysis.

Cross-Channel Engagement Analytics Track and optimize user engagement and user flows across marketing campaigns and mobile apps by measuring ROI, retention, churn, and in-app behaviour.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Also Featured in...

Website Analytics

Product Analytics

Customer Intelligence

Voice of the Customer

Adobe Analytics Reviews

Utkarsh S.

Good in every aspect and industry leader

Likeliness to Recommend

Pros

Sujeet K.

A adobe analytics product owner over a decade ❤️

Likeliness to Recommend

Pros

Ankita T.

Deep data analysis for serious teams

Likeliness to Recommend

Pros

Cons

Most Popular Adobe Analytics Comparisons

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Feature Ratings

3rd-Party Integrations

Audience Segmentation

Marketing Analytics

Product Analytics

Customer Identity

Privacy, Security, and Regulatory Compliance

Behavioural Analytics

Predictive Analytics

Customer Journey Modelling

Dashboards, Analytics and Reporting

Cross-Channel Engagement Analytics

Vendor Capability Ratings

Ease of Customization

Availability and Quality of Training

Usability and Intuitiveness

Quality of Features

Ease of Implementation

Product Strategy and Rate of Improvement

Ease of Data Integration

Business Value Created

Ease of IT Administration

Vendor Support

Breadth of Features