Google

Google Analytics

Composite Score

8.9 /10

CX Score

9.2 /10

825 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 Website Analytics category

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Strategy and Innovation
Product Impact

2023

2023 Data Quadrant Gold Medalist

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

1
Since last award

90 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:: 94%
Negotiation and Contract:: 90%
Conflict Resolution:: 91%
Strategy & Innovation:: 91%
Service Experience:: 90%

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 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

5% Neutral

93% Positive

Pros

Enables Productivity
Reliable
Performance Enhancing
Trustworthy

Feature Ratings

Average 85

Audience Segmentation

Device and Browser Analytics

Audience Demographics

Conversion Analysis

Paid Search Integration

Search Engine Optimization

Customer Value Analysis

Data Visualization

Social Media Analytics

Customer Journey Modelling

API Framework

Vendor Capability Ratings

Average 83

Business Value Created

Ease of Implementation

Breadth of Features

Quality of Features

Ease of Data Integration

Product Strategy and Rate of Improvement

Ease of IT Administration

Availability and Quality of Training

Ease of Customization

Usability and Intuitiveness

Vendor Support

Also Featured in...

Product Analytics

Score 9.0

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

A/B Testing

Score 8.8

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Customer Intelligence

Score 8.8

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

Google Analytics Reviews

Clark L.

Role: Operations
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2025

The Backbone of Campaign Performance

Likeliness to Recommend

9 /10

What differentiates Google Analytics from other similar products?

It’s Google. That alone gives it a level of credibility most tools can’t match. But the real magic is its seamless integration with Google Ads and Search Console. If you’re running campaigns, the ability to track user behavior and conversions across different channels is invaluable

What is your favorite aspect of this product?

The sheer level of granularity. From tracking specific user journeys to setting up custom goals and events, it gives me a detailed picture of how campaigns are performing

What do you dislike most about this product?

The switch from Universal Analytics wasn’t exactly smooth sailing. The interface feels less intuitive, and some reports that were easy to find before now require more digging

What recommendations would you give to someone considering this product?

If you’re still holding on to old reporting habits, let them go. GA4 requires a different mindset, so take the time to properly set up events and conversion tracking

Pros

Efficient Service
Transparent
Security Protects
Continually Improving Product

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

Validated Review

Anonymous Reviewer

Submitted Mar 2025

Great tool for business

Likeliness to Recommend

7 /10

Pros

Client Friendly Policies
Helps Innovate
Fair
Altruistic

Daniel N.

Role: Human Resources
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2025

Google Analytics: Powerful but Complex to Master

Likeliness to Recommend

9 /10

What differentiates Google Analytics from other similar products?

Free and seamless integration with Google ecosystem.

What is your favorite aspect of this product?

Its predictive analysis

What do you dislike most about this product?

It has a steep learning curve

What recommendations would you give to someone considering this product?

Learn GA4’s event-based tracking, use Google Analytics Academy for training, integrate with BigQuery for advanced analysis, and ensure GDPR compliance by configuring data retention settings.

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Google Analytics

What is Google Analytics?

Company Details

Need Assistance?

Awards & Recognition

2025 Data Quadrant Gold Medalist

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

Google Analytics Ratings

90 Likeliness to Recommend

98 Plan to Renew

1 Since last award

90 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

Emotional Footprint Overview

+91 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

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

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

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

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

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

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.

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

Customer Journey Modelling The ability to effectively model and display customer behaviors or journeys through multiple channels and touchpoints.

API Framework Move data to and from the platform and other customer interaction applications (i.e. Marketing Automation) with ease.

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 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 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 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.

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...

Product Analytics

A/B Testing

Customer Intelligence

Google Analytics Reviews

Clark L.

The Backbone of Campaign Performance

Likeliness to Recommend

Pros

Great tool for business

Likeliness to Recommend

Pros

Daniel N.

Google Analytics: Powerful but Complex to Master

Likeliness to Recommend

Pros

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1
Since last award

Feature Ratings

Audience Segmentation

Device and Browser Analytics

Audience Demographics

Conversion Analysis

Paid Search Integration

Search Engine Optimization

Customer Value Analysis

Data Visualization

Social Media Analytics

Customer Journey Modelling

API Framework

Vendor Capability Ratings

Business Value Created

Ease of Implementation

Breadth of Features

Quality of Features

Ease of Data Integration

Product Strategy and Rate of Improvement

Ease of IT Administration

Availability and Quality of Training

Ease of Customization

Usability and Intuitiveness

Vendor Support