Adobe Systems

Adobe Analytics

8.1 /10

44 Reviews Write a Review

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What is Adobe Analytics?

It might be a campaign that’s underperforming. Or you need to know which content will inspire your customer. Maybe you just want time to look for the insights that really matter — the ones only you can find. Whatever the challenge — from basic web tracking to creating a culture of insight where data is infused into every action on every team — Adobe Analytics can help.

Company Details

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Awards & Recognition

Adobe Analytics won the following awards in the Customer Intelligence category

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2024 Emotional Footprint Champion

Latest Award, 2024

Strategy and Innovation
Service Experience

Latest Award, 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.

89 Likeliness to Recommend

1
Since last award

100 Plan to Renew

83 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

+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?

2% Negative

9% Neutral

89% Positive

Pros

Respectful
Performance Enhancing
Continually Improving Product
Helps Innovate

Feature Ratings

Average 85

Anomaly Detection

Cross Channel Attribution Analysis

Audience Demographics

API Framework

Data Visualization

Customer Journey Modelling

Real Time Workflow Automation

Conversion Analysis

Audience Segmentation

Metadata Management

Predictive Analytics

Vendor Capability Ratings

Average 81

Quality of Features

Breadth of Features

Ease of Customization

Business Value Created

Vendor Support

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of Data Integration

Ease of Implementation

Ease of IT Administration

Availability and Quality of Training

Also Featured in...

Product Analytics

Score 8.4

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

Website Analytics

Score 8.4

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

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

shivam p.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

With in-depth analysis, versatile reporting

Likeliness to Recommend

10 /10

What differentiates Adobe Analytics from other similar products?

With in-depth analysis, versatile reporting, and predictive intelligence

What is your favorite aspect of this product?

In depth reporting

What do you dislike most about this product?

Nothing to say

What recommendations would you give to someone considering this product?

features are up to the mark I don't have anything as of now to contribute

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Adarsh B.

Role: Consultant
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Feb 2024

Best Customer intelligence product

Likeliness to Recommend

10 /10

What differentiates Adobe Analytics from other similar products?

Customer intelligence makes it speciall. We really enjoyed using it.

What is your favorite aspect of this product?

Analytics and easy administration.

What do you dislike most about this product?

Nothing. Everything is soo good abou it.

What recommendations would you give to someone considering this product?

Manage your customers easily and get a new experience.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Adobe Analytics

What is Adobe Analytics?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

Adobe Analytics Ratings

89 Likeliness to Recommend

1 Since last award

100 Plan to Renew

83 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

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

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.

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.

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.

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.

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

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

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.

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 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.

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 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.

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

Parimal D.

User friendly and descriptive

Likeliness to Recommend

Pros

shivam p.

With in-depth analysis, versatile reporting

Likeliness to Recommend

Pros

Adarsh B.

Best Customer intelligence product

Likeliness to Recommend

Pros

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Since last award

Feature Ratings

Anomaly Detection

Cross Channel Attribution Analysis

Audience Demographics

API Framework

Data Visualization

Customer Journey Modelling

Real Time Workflow Automation

Conversion Analysis

Audience Segmentation

Metadata Management

Predictive Analytics

Vendor Capability Ratings

Quality of Features

Breadth of Features

Ease of Customization

Business Value Created

Vendor Support

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of Data Integration

Ease of Implementation

Ease of IT Administration

Availability and Quality of Training