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Google

Google Analytics

Composite Score

8.8 /10

CX Score

9.1 /10

221 Reviews Write a Review

Claim Software

What is Google Analytics?

Google Analytics is a platform that collects data from your websites and apps to create reports that provide insights into your business. It is the go-to platform for millions of website and app owners seeking to gain a deeper understanding of their website and app performance. With Google Analytics, you can fine-tune your digital strategy, optimize your campaigns, and take your online presence to new heights, and get a complete understanding of your customers across devices and platforms. Google Analytics gives you the tools, free of charge, to understand the customer journey and improve marketing ROI.

Company Details

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Awards & Recognition

Google Analytics won the following awards in the Customer Intelligence category

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2025 Emotional Footprint Champion

Latest Award, 2025

Product Impact

Latest Award, 2025

2024 Data Quadrant Champion

2024

0 Top Rated Capabilities

1 Top Rated Features

2024

2024 Emotional Footprint Champion

2024

Google Analytics Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Google 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.

91 Likeliness to Recommend

98 Plan to Renew

1
Since last award

86 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 Google Analytics?

2% Negative

7% Neutral

91% Positive

Pros

Performance Enhancing
Respectful
Reliable
Enables Productivity

Feature Ratings

Average 83

Conversion Analysis

Audience Demographics

Data Visualization

Audience Segmentation

API Framework

Cross Channel Attribution Analysis

Anomaly Detection

Predictive Analytics

Customer Journey Modelling

Metadata Management

Real Time Workflow Automation

Vendor Capability Ratings

Average 81

Business Value Created

Breadth of Features

Ease of Data Integration

Ease of Implementation

Ease of Customization

Quality of Features

Ease of IT Administration

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Availability and Quality of Training

Vendor Support

Also Featured in...

Product Analytics

Score 9.0

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

Website Analytics

Score 8.9

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

Google Analytics Reviews

Gayathri M.

Role: Public Sector
Industry: Healthcare
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jul 2025

Master Analytics

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

What sets Google Analytics apart from its competitors is its seamless integration with other Google services, making data analysis easier and more accessible for users.

What is your favorite aspect of this product?

Analytics and the way it gives

What do you dislike most about this product?

I might dislike the most is often related to its user interface. If it's not intuitive or user-friendly, it can be frustrating to navigate, especially for new users.

What recommendations would you give to someone considering this product?

Leverage Google Analytics 4 by mastering its features, defining your goals, tracking events, and integrating with Google Ads to enhance your marketing insights.

Pros

Continually Improving Product
Performance Enhancing
Enables Productivity
Trustworthy

Amir H.

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

Validated Review

Verified Reviewer

Submitted May 2025

accessible for all users

Likeliness to Recommend

9 /10

What differentiates Google Analytics from other similar products?

google analytics’ tutorials top looker, with guides that welcome beginners. it’s my tool for universal data access.

What is your favorite aspect of this product?

the help center’s step-by-step videos walk me through setup, easing onboarding. i can share simplified dashboards with non-techy teammates. the mobile app’s clean design works for all devices.

What do you dislike most about this product?

the interface’s complexity still daunts some users, even with guides.

What recommendations would you give to someone considering this product?

for diverse teams, google analytics’ resources open doors.

Pros

Helps Innovate
Reliable
Trustworthy
Unique Features

Cons

Less Productive

Alina D.

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

Validated Review

Verified Reviewer

Submitted May 2025

Comprehensive tracking, complex setup

Likeliness to Recommend

9 /10

What differentiates Google Analytics from other similar products?

Customize the data views so they match my business needs.

What is your favorite aspect of this product?

It demonstrates to me what users click on and view.

What do you dislike most about this product?

The initial configuration was confusing for me.

What recommendations would you give to someone considering this product?

Keep your business up to date with privacy laws to protect users.

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Google Analytics

What is Google Analytics?

Company Details

Need Assistance?

Awards & Recognition

2025 Emotional Footprint Champion

2024 Data Quadrant Champion

2024 Emotional Footprint Champion

Google Analytics Ratings

91 Likeliness to Recommend

98 Plan to Renew

1 Since last award

86 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love Google Analytics?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

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

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.

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

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.

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

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

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

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

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

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.

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.

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.

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

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.

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.

Also Featured in...

Product Analytics

Website Analytics

Google Analytics Reviews

Gayathri M.

Master Analytics

Likeliness to Recommend

Pros

Amir H.

accessible for all users

Likeliness to Recommend

Pros

Cons

Alina D.

Comprehensive tracking, complex setup

Likeliness to Recommend

Pros

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Feature Ratings

Conversion Analysis

Audience Demographics

Data Visualization

Audience Segmentation

API Framework

Cross Channel Attribution Analysis

Anomaly Detection

Predictive Analytics

Customer Journey Modelling

Metadata Management

Real Time Workflow Automation

Vendor Capability Ratings

Business Value Created

Breadth of Features

Ease of Data Integration

Ease of Implementation

Ease of Customization

Quality of Features

Ease of IT Administration

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Availability and Quality of Training

Vendor Support