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Adobe Systems

Adobe Analytics

Composite Score

8.8 /10

CX Score

9.1 /10

121 Reviews Write a Review

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 Website Analytics category

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2025 Emotional Footprint Champion

Latest Award, 2025

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation

Latest Award, 2025

3 Top Rated Capabilities

4 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

Strategy and Innovation
Service Experience

2024

2024 Data Quadrant Champion

2024

1 Top Rated Capabilities

0 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

3 Top Rated Capabilities

2 Top Rated Features

2023

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

1
Since last award

99 Plan to Renew

88 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.

+93 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?

6% Negative

3% Neutral

91% Positive

Pros

Respectful
Helps Innovate
Enables Productivity
Efficient Service

Feature Ratings

Average 85

AI Tools

Device and Browser Analytics

Audience Segmentation

Data Visualization

Customer Value Analysis

Social Media Analytics

Audience Demographics

Customer Journey Modelling

Conversion Analysis

Paid Search Integration

Search Engine Optimization

Vendor Capability Ratings

Average 83

Business Value Created

Ease of Customization

Quality of Features

Ease of Implementation

Ease of Data Integration

Breadth of Features

Usability and Intuitiveness

Availability and Quality of Training

Vendor Support

Product Strategy and Rate of Improvement

Ease of IT Administration

Also Featured in...

Voice of the Customer

Translation missing: en.product_page.ratings.score 8.3

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Digital Analytics

Translation missing: en.product_page.ratings.score 8.2

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Product Analytics

Translation missing: en.product_page.ratings.score 8.2

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Customer Intelligence

Translation missing: en.product_page.ratings.score 8.1

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Adobe Analytics Reviews

Silvana G.

Role: Finance
Industry: Insurance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2024

Nice product.

Likeliness to Recommend

9 /10

What differentiates Adobe Analytics from other similar products?

I don't see a difference of Adobe from other similar products. What I see is easy tool to perform reports and analytics.

What is your favorite aspect of this product?

It is an easy tool to use. This is what I was looking for when I started using it.

What do you dislike most about this product?

I wish adobe doesn't glitches that much and also, I would like to see the live version of it.

What recommendations would you give to someone considering this product?

Depends on what you are looking for, but if you are an adobe fan go for it.

Pros

Helps Innovate
Continually Improving Product
Inspires Innovation
Includes Product Enhancements

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

Sanjeev N.

Role: Sales Marketing
Industry: Engineering
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jun 2025

Overall process and product

Likeliness to Recommend

10 /10

What is your favorite aspect of this product?

Report is easy to use

What do you dislike most about this product?

Cool and slow service

What recommendations would you give to someone considering this product?

This is fantastic product

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

How We Deliver

Events

Adobe Analytics

What is Adobe Analytics?

Company Details

Need Assistance?

Awards & Recognition

2025 Emotional Footprint Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

Adobe Analytics Ratings

89 Likeliness to Recommend

1 Since last award

99 Plan to Renew

88 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+93 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

AI Tools AI tools to help predict sales, tactics, and enhanced reporting.

Device and Browser Analytics Capture and summarize device and browser information.

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

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

Customer Value Analysis Predicts customer lifetime value based on past conversions.

Social Media Analytics Captures information on social signals from popular services (Twitter, Facebook, LinkedIn etc.).

Audience Demographics The ability to capture, analyze and display customer demographic/firmographic data from different channels.

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

Conversion Analysis The ability to capture and analyze conversion (transaction) data and conversion paths from the web or associated channels.

Paid Search Integration Integrates with popular search advertising services (i.e. AdWords) and can make predictive recommendations around areas like keywords.

Search Engine Optimization Provides targeted recommendations for improving and optimizing a page for organic search rankings (i.e. via A/B testing or multivariate testing).

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

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 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.

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.

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.

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.

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.

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.

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.

Also Featured in...

Voice of the Customer

Digital Analytics

Product Analytics

Customer Intelligence

Adobe Analytics Reviews

Silvana G.

Nice product.

Likeliness to Recommend

Pros

Ankita T.

Deep data analysis for serious teams

Likeliness to Recommend

Pros

Cons

Sanjeev N.

Overall process and product

Likeliness to Recommend

Pros

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Schedule Your Call

1
Since last award

Feature Ratings

AI Tools

Device and Browser Analytics

Audience Segmentation

Data Visualization

Customer Value Analysis

Social Media Analytics

Audience Demographics

Customer Journey Modelling

Conversion Analysis

Paid Search Integration

Search Engine Optimization

Vendor Capability Ratings

Business Value Created

Ease of Customization

Quality of Features

Ease of Implementation

Ease of Data Integration

Breadth of Features

Usability and Intuitiveness

Availability and Quality of Training

Vendor Support

Product Strategy and Rate of Improvement

Ease of IT Administration