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Adobe

Adobe Analytics

Composite Score

8.4 /10

CX Score

8.4 /10

25 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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Awards & Recognition

Adobe Analytics won the following awards in the Digital Analytics category

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2026 Data Quadrant Champion

Latest Award, 2026

9 Top Rated Capabilities

12 Top Rated Features

Latest Award, 2026

Adobe Analytics Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Adobe Analytics.

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.

91 Likeliness to Recommend

1
Since last award

96 Plan to Renew

1
Since last award

81 Satisfaction of Cost Relative to Value

1
Since last award

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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?

8% Negative

4% Neutral

88% Positive

Pros

Generous Negotitation
Over Delivered
Helps Innovate
Trustworthy

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 82

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 8.6

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 8.2

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

Voice of the Customer

Score 8.1

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

Adobe Analytics Reviews

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

Rocky K.

Role: Consultant
Industry: Technology
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2026

Most realistic Analytics Tool

Likeliness to Recommend

10 /10

What differentiates Adobe Analytics from other similar products?

Most realistic analytics tool I have seen and easy to use to give proper attribution.

What is your favorite aspect of this product?

Easy to understand the flow and user interface.

What do you dislike most about this product?

Nothing, I do not find anything which I dislike.

What recommendations would you give to someone considering this product?

Go for it Blindly.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Balu Anush A.

Role: Student Academic
Industry: Consulting
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Dec 2025

Adobe Analytics - New Toddler to Change the Game

Likeliness to Recommend

9 /10

What differentiates Adobe Analytics from other similar products?

Its a new product loaded with lots of pre existing drag and drop features

What is your favorite aspect of this product?

Data Visualization and Presentation is the best part where I used to effectively present to client in an interactive manner

What do you dislike most about this product?

Nothing much really. Everything seems to be running okay with whatever extent I used it.

What recommendations would you give to someone considering this product?

Ease of use and a new product which could be handy

Pros

Continually Improving Product
Efficient Service
Saves Time
Transparent

Adobe Analytics

What is Adobe Analytics?

Company Details

Need Assistance?

Awards & Recognition

2026 Data Quadrant Champion

Adobe Analytics Ratings

91 Likeliness to Recommend

1 Since last award

96 Plan to Renew

1 Since last award

81 Satisfaction of Cost Relative to Value

1 Since last award

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

Ankita T.

Deep data analysis for serious teams

Likeliness to Recommend

Pros

Cons

Rocky K.

Most realistic Analytics Tool

Likeliness to Recommend

Pros

Balu Anush A.

Adobe Analytics - New Toddler to Change the Game

Likeliness to Recommend

Pros

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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