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Google

Google Analytics

Composite Score

8.8 /10

CX Score

9.1 /10

252 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.

Company Details

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Awards & Recognition

Google Analytics won the following awards in the Customer Intelligence category

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2026 Emotional Footprint Champion

Latest Award, 2026

2025 Data Quadrant Champion

2025

1 Top Rated Capabilities

2 Top Rated Features

2025

2025 Emotional Footprint Champion

2025

Product Impact

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.

90 Likeliness to Recommend

1
Since last award

98 Plan to Renew

87 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.

+90 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

Anomaly Detection

Real Time Workflow Automation

Cross Channel Attribution Analysis

Metadata Management

Predictive Analytics

Customer Journey Modelling

Vendor Capability Ratings

Average 81

Business Value Created

Breadth of Features

Ease of Customization

Ease of Data Integration

Quality of Features

Ease of Implementation

Usability and Intuitiveness

Ease of IT Administration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Vendor Support

Also Featured in...

Website Analytics

Score 8.9

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

Product Analytics

Score 8.9

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

Google Analytics Reviews

Alden R.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

The home of data analytics

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

It is easy to install and use by way of a simple code snippet or a plug-in. It offers a state of the art, comprehensive and customisable dashboard where metrics about your website such as bounce rate, sessions, users, etc can be derived.

What is your favorite aspect of this product?

It is free, simple to use and setup and also widely supported on most platforms.

What do you dislike most about this product?

Google Analytics has a lot going on in terms of the end UI. It needs to be made a bit simpler and the tutorials should be slightly more brief and precise so that the user doesn't get thrown off by the number of instructions.

What recommendations would you give to someone considering this product?

This is definitely something that can be considered by someone who is getting into the field of data analysis and interpretation. There are a lot of features that can help a person understand the target segment and customer behaviour.

Pros

Continually Improving Product
Trustworthy
Unique Features
Effective Service

Cristina C.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

I monitor traffic to websites.

Likeliness to Recommend

9 /10

What differentiates Google Analytics from other similar products?

One of the finest tools for assessing the effectiveness of our website is this one, which is also readily integrated with Google Ads, allowing me to build, track, and evaluate the effectiveness of each campaign.

What is your favorite aspect of this product?

I like it because it allows me to see performance indicators based on artificial intelligence. I've used it effectively on both web and mobile, and I like how simple and configurable it is.

What do you dislike most about this product?

Nothing about this platform bothers me; it gives me a comprehensive picture of all of our campaigns, evaluates each one's success and potential, and assists us in conducting behavior analyses and anomaly detection.

What recommendations would you give to someone considering this product?

It is a fantastic platform to monitor sales and attract more customers. It comes highly recommended for real-time analysis and gives us information about site visitors.

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Enables Productivity

Role: C-Level
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Feb 2024

Easy to use but hard to implement

Likeliness to Recommend

8 /10

Pros

Altruistic
Respectful
Acts with Integrity
Helps Innovate

Cons

Less Effective Service
Less Efficient Service

Google Analytics

What is Google Analytics?

Company Details

Need Assistance?

Awards & Recognition

2026 Emotional Footprint Champion

2025 Data Quadrant Champion

2025 Emotional Footprint Champion

2024 Data Quadrant Champion

2024 Emotional Footprint Champion

Google Analytics Ratings

90 Likeliness to Recommend

1 Since last award

98 Plan to Renew

87 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+90 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.

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

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.

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

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.

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

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 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.

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

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.

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 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.

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.

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

Product Analytics

Google Analytics Reviews

Alden R.

The home of data analytics

Likeliness to Recommend

Pros

Cristina C.

I monitor traffic to websites.

Likeliness to Recommend

Pros

Easy to use but hard to implement

Likeliness to Recommend

Pros

Cons

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Feature Ratings

Conversion Analysis

Audience Demographics

Data Visualization

Audience Segmentation

API Framework

Anomaly Detection

Real Time Workflow Automation

Cross Channel Attribution Analysis

Metadata Management

Predictive Analytics

Customer Journey Modelling

Vendor Capability Ratings

Business Value Created

Breadth of Features

Ease of Customization

Ease of Data Integration

Quality of Features

Ease of Implementation

Usability and Intuitiveness

Ease of IT Administration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Vendor Support