Google

Google Analytics

Composite Score

8.8 /10

CX Score

9.0 /10

162 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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2025 Emotional Footprint Champion

Latest Award, 2025

Product Impact

Latest Award, 2025

2024 Data Quadrant Gold Medalist

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

97 Plan to Renew

2
Since last award

86 Satisfaction of Cost Relative to Value

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 91%
Negotiation and Contract:: 84%
Conflict Resolution:: 88%
Strategy & Innovation:: 88%
Service Experience:: 89%

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.

+88 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

9% Neutral

89% Positive

Pros

Performance Enhancing
Enables Productivity
Respectful
Trustworthy

Feature Ratings

Average 82

Conversion Analysis

Audience Demographics

Data Visualization

Audience Segmentation

API Framework

Cross Channel Attribution Analysis

Predictive Analytics

Customer Journey Modelling

Anomaly Detection

Metadata Management

Real Time Workflow Automation

Vendor Capability Ratings

Average 81

Business Value Created

Ease of Data Integration

Ease of IT Administration

Ease of Implementation

Ease of Customization

Breadth of Features

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)

A/B Testing

Score 8.8

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

Google Analytics Reviews

Shashank Shekhar S.

Role: Sales Marketing
Industry: Electronics
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Dec 2024

Awesome product

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

Google Ecosystem Integration,,Ease of Use and Accessibility,,Cross-Platform Tracking

What is your favorite aspect of this product?

Google Ecosystem Integration

What do you dislike most about this product?

Nothing at this point

What recommendations would you give to someone considering this product?

they can go for it its really good product

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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

Validated Review

Anonymous Reviewer

Submitted Dec 2024

Robust E-Commerce Tracking

Likeliness to Recommend

9 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Eduardo Augusto S.

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

Validated Review

Verified Reviewer

Submitted Dec 2024

Our main source of Information

Likeliness to Recommend

9 /10

What differentiates Google Analytics from other similar products?

GA4 has the largest market share. That's why they have the bargaining power to maintain a more aggressive price. However, the features presented in the tool are of great use to any type of website that needs to understand its traffic. Currently, it is impossible to find any large website that does not have GA features implemented.

What is your favorite aspect of this product?

The versatility of available analyses and the ease of use. A novice user can learn it in just a few days of use.

What do you dislike most about this product?

The fact that many reports available in the previous version have been discontinued.

What recommendations would you give to someone considering this product?

Other competitors on the market have better features but are much more expensive. Trying GA4 before investing in others is the best way to understand how much value you can extract from the analyses.

Pros

Respectful
Reliable
Enables Productivity
Trustworthy

Cons

Less Generous
Vendor's Interest First
Under Delivered

Google Analytics

What is Google Analytics?

Company Details

Need Assistance?

Awards & Recognition

2025 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2024 Emotional Footprint Champion

Google Analytics Ratings

91 Likeliness to Recommend

97 Plan to Renew

2 Since last award

86 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

Emotional Footprint Overview

+88 Net Emotional Footprint

How much do users love Google Analytics?

Chart

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.

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).

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.

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

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.

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

A/B Testing

Google Analytics Reviews

Shashank Shekhar S.

Awesome product

Likeliness to Recommend

Pros

Robust E-Commerce Tracking

Likeliness to Recommend

Pros

Eduardo Augusto S.

Our main source of Information

Likeliness to Recommend

Pros

Cons

Most Popular Google Analytics Comparisons

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Qualtrics Strategy & Research

2
Since last award

Feature Ratings

Conversion Analysis

Audience Demographics

Data Visualization

Audience Segmentation

API Framework

Cross Channel Attribution Analysis

Predictive Analytics

Customer Journey Modelling

Anomaly Detection

Metadata Management

Real Time Workflow Automation

Vendor Capability Ratings

Business Value Created

Ease of Data Integration

Ease of IT Administration

Ease of Implementation

Ease of Customization

Breadth of Features

Quality of Features

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Availability and Quality of Training

Vendor Support