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Adobe Systems

Adobe Analytics

Composite Score

8.2 /10

CX Score

8.5 /10

51 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

Latest Award, 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.

88 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.

+91 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?

5% Negative

6% Neutral

89% Positive

Pros

Respectful
Performance Enhancing
Continually Improving Product
Helps Innovate

Feature Ratings

Average 84

Cross Channel Attribution Analysis

Audience Demographics

Data Visualization

Customer Journey Modelling

Real Time Workflow Automation

Audience Segmentation

Anomaly Detection

Conversion Analysis

API Framework

Predictive Analytics

Metadata Management

Vendor Capability Ratings

Average 83

Quality of Features

Ease of Customization

Business Value Created

Vendor Support

Breadth of Features

Ease of Data Integration

Ease of Implementation

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of IT Administration

Availability and Quality of Training

Also Featured in...

Website Analytics

Score 8.8

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

Product Analytics

Score 8.4

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

Voice of the Customer

Score 8.2

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

Adobe Analytics Reviews

Parimal D.

Role: Student Academic
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2024

User friendly and descriptive

Likeliness to Recommend

9 /10

What differentiates Adobe Analytics from other similar products?

Has advanced data analysis, visualization, and machine learning-driven insights, integrated seamlessly with Adobe's marketing cloud solutions,

What is your favorite aspect of this product?

Robust data visualization capabilities, which help in gaining actionable insights

What do you dislike most about this product?

Leverage its advanced features and customization options effectively is tough

What recommendations would you give to someone considering this product?

Thoroughly explore its features, invest in training for your team, assess data integration capabilities

Pros

Unique Features
Continually Improving Product
Reliable
Performance Enhancing

Jacob T.

Role: Sales Marketing
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Nov 2023

Adobe Analytics- Give life to the data

Likeliness to Recommend

9 /10

What differentiates Adobe Analytics from other similar products?

Adobe can work with a vast amount of data that other tools can't work with and there analytics is always very accurate

What is your favorite aspect of this product?

There segmentation feature is helpful to category the market segmentation to target the right person at right time

What do you dislike most about this product?

When we integrate with the marketing tools like hubspot is very slow and lagging

What recommendations would you give to someone considering this product?

This is one of the best tool in this budget

Pros

Performance Enhancing
Enables Productivity
Inspires Innovation
Caring

Emily S.

Role: Sales Marketing
Industry: Consulting
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Nov 2023

Fantastic product

Likeliness to Recommend

8 /10

What differentiates Adobe Analytics from other similar products?

Adobe Analytics leverages machine learning and AI for predictive analytics, helping businesses anticipate trends and make proactive decisions.

What is your favorite aspect of this product?

: Adobe Analytics offers advanced features, including predictive analytics, machine learning, and data workbench, for in-depth analysis and insights

What do you dislike most about this product?

: It can be challenging to learn and set up Adobe Analytics for users without prior experience in web analytics or the Adobe ecosystem.

What recommendations would you give to someone considering this product?

Evaluate your budget and business needs before investing in Adobe Analytics. If your budget is limited, you may want to explore more cost-effective alternatives.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Adobe Analytics

What is Adobe Analytics?

Company Details

Need Assistance?

Awards & Recognition

2024 Data Quadrant Champion

2024 Emotional Footprint Champion

Adobe Analytics Ratings

88 Likeliness to Recommend

100 Plan to Renew

84 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+91 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

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

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

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

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

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.

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.

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.

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

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.

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.

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.

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

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.

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.

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

Product Analytics

Voice of the Customer

Adobe Analytics Reviews

Parimal D.

User friendly and descriptive

Likeliness to Recommend

Pros

Jacob T.

Adobe Analytics- Give life to the data

Likeliness to Recommend

Pros

Emily S.

Fantastic product

Likeliness to Recommend

Pros

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Feature Ratings

Cross Channel Attribution Analysis

Audience Demographics

Data Visualization

Customer Journey Modelling

Real Time Workflow Automation

Audience Segmentation

Anomaly Detection

Conversion Analysis

API Framework

Predictive Analytics

Metadata Management

Vendor Capability Ratings

Quality of Features

Ease of Customization

Business Value Created

Vendor Support

Breadth of Features

Ease of Data Integration

Ease of Implementation

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of IT Administration

Availability and Quality of Training