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Google

Google Analytics

Composite Score

8.9 /10

CX Score

9.3 /10

958 Reviews Write a Review

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 Website Analytics category

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2025 Emotional Footprint Champion

Latest Award, 2025

2025 Data Quadrant Champion

2025

4 Top Rated Capabilities

7 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

2024 Data Quadrant Champion

2024

3 Top Rated Capabilities

6 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Strategy and Innovation
Product Impact

2023

2023 Data Quadrant Champion

2023

7 Top Rated Capabilities

10 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.

90 Likeliness to Recommend

98 Plan to Renew

89 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.

+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

Reliable
Performance Enhancing
Enables Productivity
Respectful

Feature Ratings

Average 84

Conversion Analysis

Audience Segmentation

Audience Demographics

Paid Search Integration

Device and Browser Analytics

Search Engine Optimization

Customer Value Analysis

Data Visualization

Machine Learning

AI Tools

Social Media Analytics

Vendor Capability Ratings

Average 83

Business Value Created

Breadth of Features

Quality of Features

Ease of Implementation

Ease of Data Integration

Product Strategy and Rate of Improvement

Ease of Customization

Availability and Quality of Training

Ease of IT Administration

Usability and Intuitiveness

Vendor Support

Also Featured in...

Product Analytics

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Customer Intelligence

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Google Analytics Reviews

Antoine R.

Role: Industry Specific Role
Industry: Manufacturing
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted May 2025

Review of Google Analytics

Likeliness to Recommend

9 /10

What differentiates Google Analytics from other similar products?

Google Analytics stands out for entry into the Google ecosystem without incident.

What is your favorite aspect of this product?

I like the free access to enterprise-level analytics features.

What do you dislike most about this product?

Data processing lags occasionally.

What recommendations would you give to someone considering this product?

Do not think about it as it is the best. Just go for it.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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

Validated Review

Anonymous Reviewer

Submitted May 2025

GA Kicks Ass

Likeliness to Recommend

8 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Cons

Under Delivered

Jacintha R.

Role: Sales Marketing
Industry: Not for Profit
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2025

I Use GA Daily

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

Great integration

What is your favorite aspect of this product?

Easy to pull reports once set up

What do you dislike most about this product?

A lot of manual admin

What recommendations would you give to someone considering this product?

To do the courses first.

Pros

Trustworthy
Saves Time
Respectful
Helps Innovate

Cons

Slower Product Innovation

How We Deliver

Google Analytics

What is Google Analytics?

Company Details

Need Assistance?

Awards & Recognition

2025 Emotional Footprint Champion

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

Google Analytics Ratings

90 Likeliness to Recommend

98 Plan to Renew

89 Satisfaction of Cost Relative to Value

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

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.

Audience Demographics The ability to capture, analyze and display customer demographic/firmographic data from different channels.

Paid Search Integration Integrates with popular search advertising services (i.e. AdWords) and can make predictive recommendations around areas like keywords.

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

Search Engine Optimization Provides targeted recommendations for improving and optimizing a page for organic search rankings (i.e. via A/B testing or multivariate testing).

Customer Value Analysis Predicts customer lifetime value based on past conversions.

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

Machine Learning Analyze historical or real-time data using machine learning algorithms to generate insights e.g. prediction, anomaly/event detection, sentiment analysis.

AI Tools AI tools to help predict sales, tactics, and enhanced reporting.

Social Media Analytics Captures information on social signals from popular services (Twitter, Facebook, LinkedIn etc.).

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.

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

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 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.

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 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.

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

Customer Intelligence

Google Analytics Reviews

Antoine R.

Review of Google Analytics

Likeliness to Recommend

Pros

GA Kicks Ass

Likeliness to Recommend

Pros

Cons

Jacintha R.

I Use GA Daily

Likeliness to Recommend

Pros

Cons

Most Popular Google Analytics Comparisons

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Title

Feature Ratings

Conversion Analysis

Audience Segmentation

Audience Demographics

Paid Search Integration

Device and Browser Analytics

Search Engine Optimization

Customer Value Analysis

Data Visualization

Machine Learning

AI Tools

Social Media Analytics

Vendor Capability Ratings

Business Value Created

Breadth of Features

Quality of Features

Ease of Implementation

Ease of Data Integration

Product Strategy and Rate of Improvement

Ease of Customization

Availability and Quality of Training

Ease of IT Administration

Usability and Intuitiveness

Vendor Support