Google

Google Analytics

Composite Score

9.0 /10

CX Score

9.3 /10

352 Reviews Write a Review

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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.

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Awards & Recognition

Google Analytics won the following awards in the Product Analytics category

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2025 Data Quadrant Champion

Latest Award, 2025

9 Top Rated Capabilities

9 Top Rated Features

Latest Award, 2025

2024 Emotional Footprint Champion

2024

Strategy and Innovation
Service Experience
Contract Negotiation
Conflict Resolution

2024

2024 Data Quadrant Champion

2024

10 Top Rated Capabilities

8 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

2023 Data Quadrant Champion

2023

8 Top Rated Capabilities

8 Top Rated Features

2023

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

1
Since last award

99 Plan to Renew

1
Since last award

88 Satisfaction of Cost Relative to Value

2
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.

+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 Google Analytics?

1% Negative

5% Neutral

94% Positive

Pros

Performance Enhancing
Respectful
Helps Innovate
Continually Improving Product

Feature Ratings

Average 85

Analytics and Reporting

Marketing Analytics

Device and Browser Analytics

Data Management

Conversion Analysis

Audience Segmentation

Data Warehousing

Data Integrity

Data Analysis and Survey Function

API Framework

Mobile Functionality

Vendor Capability Ratings

Average 83

Business Value Created

Ease of Data Integration

Ease of Implementation

Breadth of Features

Quality of Features

Ease of IT Administration

Product Strategy and Rate of Improvement

Availability and Quality of Training

Ease of Customization

Usability and Intuitiveness

Vendor Support

Also Featured in...

Website Analytics

Score 8.9

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

Customer Intelligence

Score 8.8

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

Google Analytics Reviews

Piyushi G.

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

Validated Review

Verified Reviewer

Submitted Jan 2025

An In-Depth Analysis of Google Analytics

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

Google Analytics provides in-depth data analysis, audience insights, and real-time tracking features.

What is your favorite aspect of this product?

Its Free version offers a lot of powerful features.

What do you dislike most about this product?

It May require extra plugins or configurations for more complex tracking.

What recommendations would you give to someone considering this product?

Recommended for those who are already using other Google services.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Efficient Service

Dhruv G.

Role: Information Technology
Industry: Technology
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2025

Google is the name and it's a game.

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

Google Analytics help you to grow, learn insights and grow. you can not find any similar products to it. it's special and wonder to many analyst like me.

What is your favorite aspect of this product?

It helps to understand insights and make decision related to it. it helps in making work easy.

What do you dislike most about this product?

Google analytics can not be copied.

What recommendations would you give to someone considering this product?

Go for it, it will make your work, light and easy.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

John B.

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

Validated Review

Verified Reviewer

Submitted Dec 2024

"GoogleNo1Analytics"

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

Lots of feature in Google Analytics. Integration with Google ads, tab manager & console is so good with Google analytics.

What is your favorite aspect of this product?

In Google 360, E-commerce tracking is my favorite aspect.

What do you dislike most about this product?

It doesn't have data warehousing. Need to include more from the data side.

What recommendations would you give to someone considering this product?

If you rely more on Google ads & console. Go for Google analytics.

Pros

Helps Innovate
Performance Enhancing
Enables Productivity
Trustworthy

Google Analytics

What is Google Analytics?

Company Details

Need Assistance?

Awards & Recognition

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

Google Analytics Ratings

91 Likeliness to Recommend

1 Since last award

99 Plan to Renew

1 Since last award

88 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+93 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

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

Marketing Analytics Predictive analytics, machine learning, data ingestion and visualization; data segmentation; assign attributes to unstructured data; work from segmented data.

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

Data Management Includes data sharing, data storage, records management, and data security.

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

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

Data Warehousing Includes large data retrieval, data reporting, and data analytics.

Data Integrity Includes data accuracy, data maintenance, and data verification and validation.

Data Analysis and Survey Function Can capture survey data and multiple data sets may be output for analysis.

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.

Mobile Functionality Can be used on mobile devices​

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 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.

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.

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.

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.

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.

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.

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...

Website Analytics

Customer Intelligence

Google Analytics Reviews

Piyushi G.

An In-Depth Analysis of Google Analytics

Likeliness to Recommend

Pros

Dhruv G.

Google is the name and it's a game.

Likeliness to Recommend

Pros

John B.

"GoogleNo1Analytics"

Likeliness to Recommend

Pros

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Feature Ratings

Analytics and Reporting

Marketing Analytics

Device and Browser Analytics

Data Management

Conversion Analysis

Audience Segmentation

Data Warehousing

Data Integrity

Data Analysis and Survey Function

API Framework

Mobile Functionality

Vendor Capability Ratings

Business Value Created

Ease of Data Integration

Ease of Implementation

Breadth of Features

Quality of Features

Ease of IT Administration

Product Strategy and Rate of Improvement

Availability and Quality of Training

Ease of Customization

Usability and Intuitiveness

Vendor Support