Google

Google Analytics

Composite Score

8.8 /10

CX Score

9.1 /10

198 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 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.

+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

8% Neutral

90% Positive

Pros

Enables Productivity
Respectful
Performance Enhancing
Trustworthy

Feature Ratings

Average 82

Conversion Analysis

Audience Demographics

Data Visualization

Audience Segmentation

API Framework

Cross Channel Attribution Analysis

Customer Journey Modelling

Predictive Analytics

Anomaly Detection

Metadata Management

Real Time Workflow Automation

Vendor Capability Ratings

Average 81

Business Value Created

Ease of Data Integration

Breadth of Features

Ease of Implementation

Ease of IT Administration

Ease of Customization

Quality of Features

Product Strategy and Rate of Improvement

Usability and Intuitiveness

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

Swastik P.

Role: Student Academic
Industry: Engineering
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Mar 2024

A decent product. Easy to use features.

Likeliness to Recommend

7 /10

What differentiates Google Analytics from other similar products?

It got detailed analytics of each product.

What is your favorite aspect of this product?

good ui and how detailed it is

What do you dislike most about this product?

overall experience can be enhanced.

What recommendations would you give to someone considering this product?

easy to use product, can definitely go for it without second thoughts

Pros

Enables Productivity
Reliable
Performance Enhancing
Trustworthy

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

Henrietta L.

Role: Sales Marketing
Industry: Media
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Feb 2024

Great analytics tool

Likeliness to Recommend

8 /10

What differentiates Google Analytics from other similar products?

A Google Analytics part of the Google Marketing Platform stack, it makes connecting data sources almost a seamless process

What is your favorite aspect of this product?

As an advertiser, GA allows us to monitor the source and quality of traffic driven to the site, informing strategy and plans moving forward

What do you dislike most about this product?

GA360 is not free and holds many features that are very beneficial to enhancing ecommerce and business strategy.

What recommendations would you give to someone considering this product?

Ensure that your team has the proper training to use the tool

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

+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.

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

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

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

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

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.

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

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 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.

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.

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.

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.

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

Swastik P.

A decent product. Easy to use features.

Likeliness to Recommend

Pros

Alden R.

The home of data analytics

Likeliness to Recommend

Pros

Henrietta L.

Great analytics tool

Likeliness to Recommend

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1
Since last award

Feature Ratings

Conversion Analysis

Audience Demographics

Data Visualization

Audience Segmentation

API Framework

Cross Channel Attribution Analysis

Customer Journey Modelling

Predictive Analytics

Anomaly Detection

Metadata Management

Real Time Workflow Automation

Vendor Capability Ratings

Business Value Created

Ease of Data Integration

Breadth of Features

Ease of Implementation

Ease of IT Administration

Ease of Customization

Quality of Features

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Availability and Quality of Training

Vendor Support