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Adobe Systems

Adobe Analytics

Composite Score

8.1 /10

CX Score

8.4 /10

55 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 Customer Intelligence category

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4 Top Rated Capabilities

6 Top Rated Features

2025

Strategy and Innovation
Service Experience
Product Impact

2025

2024 Data Quadrant Champion

2024

4 Top Rated Capabilities

8 Top Rated Features

2024

2024 Emotional Footprint Champion

2024

Strategy and Innovation
Service Experience

2024

2 Top Rated Capabilities

5 Top Rated Features

2023

0 Top Rated Capabilities

3 Top Rated Features

2022

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.

89 Likeliness to Recommend

100 Plan to Renew

84 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.

+89 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

6% Neutral

86% Positive

Pros

Respectful
Performance Enhancing
Helps Innovate
Enables Productivity

Feature Ratings

Average 83

Data Visualization

Audience Demographics

Audience Segmentation

Anomaly Detection

Customer Journey Modelling

Cross Channel Attribution Analysis

Real Time Workflow Automation

Predictive Analytics

Conversion Analysis

API Framework

Metadata Management

Vendor Capability Ratings

Average 82

Quality of Features

Ease of Customization

Vendor Support

Business Value Created

Ease of Data Integration

Breadth of Features

Ease of Implementation

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of IT Administration

Availability and Quality of Training

Also Featured in...

Website Analytics

Score 8.9

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

Voice of the Customer

Score 8.3

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

Digital Analytics

Score 8.3

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)

Adobe Analytics Reviews

Ishita N.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

Fantastic product

Likeliness to Recommend

9 /10

What differentiates Adobe Analytics from other similar products?

It's easy to use

What is your favorite aspect of this product?

Usability of the product

What do you dislike most about this product?

Nothing as of now

What recommendations would you give to someone considering this product?

You can give it a try

Pros

Helps Innovate
Enables Productivity
Unique Features
Efficient Service

Evelynn B.

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

Validated Review

Verified Reviewer

Submitted Feb 2026

Powerful but Complex.

Likeliness to Recommend

8 /10

What differentiates Adobe Analytics from other similar products?

Its deep customization, Advanced AI sights, and enterprise-level reporting set it apart.

What is your favorite aspect of this product?

My favorite aspect of this product is its deep and highly customizable data analysis, which allows businesses to gain very detailed insights into user behavior and make data-driven decisions with confidence.

What do you dislike most about this product?

What I dislike most about this product is its complexity and steep learning curve, which makes it difficult for new users to get started without significant training or support.

What recommendations would you give to someone considering this product?

I would recommend this product to organizations that have complex analytics needs and dedicated technical resources. Before adopting it, invest in proper training, plan the implementation carefully, and clearly define your reporting goals to get the most value from the platform.

Pros

Helps Innovate
Reliable
Trustworthy
Unique Features

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?

Awards & Recognition

2024 Data Quadrant Champion

2024 Emotional Footprint Champion

Adobe Analytics Ratings

89 Likeliness to Recommend

100 Plan to Renew

84 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+89 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

Data Visualization Visualize customer data in configurable dashboards or reports, and easily share these visualizations with decision makers.

Audience Demographics Capture, analyze and display demographic data from customer interaction channels.

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

Anomaly Detection The ability to identify and classify anomalous patterns in customer or transactional datasets.

Customer Journey Modelling Model and display customer behaviors or journeys through multiple channels (web, e-mail, social).

Cross Channel Attribution Analysis The ability to estimate and report on conversion contributions to revenue.

Real Time Workflow Automation The ability to create rules-based workflows and trigger certain actions (i.e. re-marketing) based on audience segments or behavioural cues.

Predictive Analytics The ability to make predictions about audience behavior based on historical data and machine learning.

Conversion Analysis Capture and analyze conversion data and conversion paths from multiple channels.

API Framework The platform provides the ability to move data to and from the solution and other customer interaction applications (i.e. CRM) with ease.

Metadata Management Easily manage metadata associated with customer data or audience segments.

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

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 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.

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.

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

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.

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.

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.

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

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.

Also Featured in...

Website Analytics

Voice of the Customer

Digital Analytics

Product Analytics

Adobe Analytics Reviews

Ishita N.

Fantastic product

Likeliness to Recommend

Pros

Evelynn B.

Powerful but Complex.

Likeliness to Recommend

Pros

Ankita T.

Deep data analysis for serious teams

Likeliness to Recommend

Pros

Cons

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Feature Ratings

Data Visualization

Audience Demographics

Audience Segmentation

Anomaly Detection

Customer Journey Modelling

Cross Channel Attribution Analysis

Real Time Workflow Automation

Predictive Analytics

Conversion Analysis

API Framework

Metadata Management

Vendor Capability Ratings

Quality of Features

Ease of Customization

Vendor Support

Business Value Created

Ease of Data Integration

Breadth of Features

Ease of Implementation

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of IT Administration

Availability and Quality of Training