Adobe Systems

Adobe Analytics

Composite Score

8.2 /10

CX Score

8.5 /10

49 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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2024 Data Quadrant Gold Medalist

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

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.

+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?

2% Negative

7% Neutral

91% Positive

Pros

Respectful
Performance Enhancing
Continually Improving Product
Helps Innovate

Feature Ratings

Average 86

Cross Channel Attribution Analysis

Customer Journey Modelling

Audience Demographics

Data Visualization

API Framework

Real Time Workflow Automation

Anomaly Detection

Conversion Analysis

Audience Segmentation

Predictive Analytics

Metadata Management

Vendor Capability Ratings

Average 83

Quality of Features

Ease of Customization

Breadth of Features

Business Value Created

Vendor Support

Usability and Intuitiveness

Ease of Data Integration

Ease of Implementation

Product Strategy and Rate of Improvement

Ease of IT Administration

Availability and Quality of Training

Also Featured in...

Product Analytics

Score 8.6

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

Website Analytics

Score 8.5

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

Rahul B.

Role: Information Technology
Industry: Telecommunications
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Nov 2021

Strong Product and Easy to Use

Likeliness to Recommend

10 /10

What differentiates Adobe Analytics from other similar products?

Extremely powerful tool with easy integration for various digital platforms. The targeting and segmentation feature is very powerful to make data driven decisions.

What is your favorite aspect of this product?

Flexible reports to capture data, Easy automation and customization of dashboards and brilliant Target feature to test new features ( AB Testing )

What do you dislike most about this product?

Few capabilities need technical knowledge for implementation which is more specialized. Regular users can understand the various capabilities that Adobe analytics provides but needs practice and bit of training.

What recommendations would you give to someone considering this product?

Enable data driven decisions to make great digital products rather than hunch or guesswork's.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

Neus M.

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

Validated Review

Verified Reviewer

Submitted Nov 2021

Discover insights from your users in seconds"

Likeliness to Recommend

8 /10

What differentiates Adobe Analytics from other similar products?

From Analysts through product owners, colleagues from advertising team and marketing can easily create their own dashboards to get the insights that they need. People is autonomous on the analysis thanks to this tool. I think one of the strength of this tool is that can be easily used together with the rest of Adobe's suite.

What is your favorite aspect of this product?

When creating a project in a Workspace to analyze user behaviour, you can just drag and drop all the dimensions, segments, metrics and predefined date ranges. It's very quick to create a project but you can also use the predefined templates. There are several visualizations. The ones that we use the most are "freeform tables" - to combine several metrics and dimensions together- and "fallout" - to explore how users fall from the funnel. You can have the raw data in the report suite and then create a virtual report suite, applying some segmentations, for instance, to divide the info by device (web and apps).

What do you dislike most about this product?

There are so many metrics, segments and dimensions that it is easy to get confused and use one metric instead of the correct one. You need to be very organized tagging everything as "approved" metrics or segments, so all your colleagues use the same to analyze same data.

What recommendations would you give to someone considering this product?

Adobe Analytics is only a piece of a very complete Suite of products from Adobe. Once you use adobe it's easy to start using other services that might be of your interest.

Pros

Continually Improving Product
Reliable
Enables Productivity
Respectful

tim s.

Role: Information Technology
Industry: Transportation
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Nov 2021

Fantastic Product with Complex Implementation

Likeliness to Recommend

9 /10

What differentiates Adobe Analytics from other similar products?

Adobe Analytics is best in class when it comes to measuring web performance and attribution. It's not a hard product to learn to build workspaces/visualizations but it can be complex to implement depending on the nature of your web properties.

What is your favorite aspect of this product?

Ease of use for attribution modelling

What do you dislike most about this product?

Can be complex to implement.

What recommendations would you give to someone considering this product?

Adobe is the leader in experience analytics. It's not the cheapest analytics tool, but it is the best. It requires a commitment from a DEV perspective as well as budgeting.

Pros

Performance Enhancing
Enables Productivity
Unique Features
Helps Innovate

Adobe Analytics

What is Adobe Analytics?

Company Details

Need Assistance?

Awards & Recognition

2024 Data Quadrant Gold Medalist

2024 Emotional Footprint Champion

Adobe Analytics Ratings

88 Likeliness to Recommend

100 Plan to Renew

84 Satisfaction of Cost Relative to Value

1 Since last award

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.

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

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.

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.

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.

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.

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

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.

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.

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.

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 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.

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...

Product Analytics

Website Analytics

Voice of the Customer

Adobe Analytics Reviews

Rahul B.

Strong Product and Easy to Use

Likeliness to Recommend

Pros

Neus M.

Discover insights from your users in seconds"

Likeliness to Recommend

Pros

tim s.

Fantastic Product with Complex Implementation

Likeliness to Recommend

Pros

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1
Since last award

Feature Ratings

Cross Channel Attribution Analysis

Customer Journey Modelling

Audience Demographics

Data Visualization

API Framework

Real Time Workflow Automation

Anomaly Detection

Conversion Analysis

Audience Segmentation

Predictive Analytics

Metadata Management

Vendor Capability Ratings

Quality of Features

Ease of Customization

Breadth of Features

Business Value Created

Vendor Support

Usability and Intuitiveness

Ease of Data Integration

Ease of Implementation

Product Strategy and Rate of Improvement

Ease of IT Administration

Availability and Quality of Training