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Google

Google Analytics

Composite Score

8.9 /10

CX Score

9.2 /10

1015 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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2026 Data Quadrant Champion

Latest Award, 2026

2 Top Rated Capabilities

5 Top Rated Features

Latest Award, 2026

2025 Emotional Footprint Champion

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.

+92 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

4% Neutral

94% Positive

Pros

Reliable
Performance Enhancing
Enables Productivity
Respectful

Feature Ratings

Average 84

Audience Segmentation

Conversion Analysis

Audience Demographics

Paid Search Integration

Search Engine Optimization

Device and Browser Analytics

Customer Value Analysis

Data Visualization

Machine Learning

AI Tools

Social Media Analytics

Vendor Capability Ratings

Average 82

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

Ease of IT Administration

Availability and Quality of Training

Usability and Intuitiveness

Vendor Support

Also Featured in...

Product Analytics

Score 8.9

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

Customer Intelligence

Score 8.8

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

Google Analytics Reviews

Sean W.

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

Validated Review

Verified Reviewer

Submitted May 2024

Took a while for us to learn but great service!

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

Vast amount of analytics and reporting available from this service

What is your favorite aspect of this product?

we can track everything and get a clear overview of what is working

What do you dislike most about this product?

It took us a little while to get the hang of it

What recommendations would you give to someone considering this product?

It can be a little daunting to learn at first but its really a key part of our business now

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Michael A.

Role: Information Technology
Industry: Insurance
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Dec 2022

Exceptional product - GA4 is Transformational

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

Its integrations and synergistic value proposition inherent in the confluences that comprise the larger google cloud and marketing platform

What is your favorite aspect of this product?

Tie - love the integrations and sum greater than parts value realizations they enable - furthermore love that with GA4 and GCP and the daily granular Big Query export have automated data collection for mining, k-means clustering, and facilitated machine learning with Big Query ML - data that is assured consistent and thus leverageable schema and frameworks!

What do you dislike most about this product?

Patience is not my greatest virtue; I am eager and excited for the value unleashing potentiations Google is steadily working towards facilitating in coming days, weeks, year.

What recommendations would you give to someone considering this product?

Its an exceptional, free, value creator and enabler that with GA4 is witnessing a transformational shovel shaped exponential acceleration in trend of value potentiation elevation. Definitely would advise leveraging true expertise in initial implementation and onboarding as there's tremendous flexibility to identify the methods, means, and measures that will translate to clear corporate value realization.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

PRIYAM V.

Role: Finance
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2026

Plan better by gaining advanced insights.

Likeliness to Recommend

8 /10

What differentiates Google Analytics from other similar products?

Offers our marketing team a better control to assess the ad campaigns.' Customization and attribute level conversion options are provided. Administrators have greater flexibility on how web conversions are attributed to marketing channels.

What is your favorite aspect of this product?

Offers built in export to BigQuery. Provides the ability to combine analytics data with our CRM data.

What do you dislike most about this product?

Standard data exploration is limited to 14 months. Data thresholding is apparent even in low data volumes.

What recommendations would you give to someone considering this product?

This tool helps us in uncovering new markets. Advertising ROI measurement has improved a lot.

Pros

Helps Innovate
Reliable
Performance Enhancing
Security Protects

Cons

Charges for Enhancements

Google Analytics

What is Google Analytics?

Company Details

Need Assistance?

Awards & Recognition

2026 Data Quadrant Champion

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

+92 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

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

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

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.

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).

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

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.

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.

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

Sean W.

Took a while for us to learn but great service!

Likeliness to Recommend

Pros

Michael A.

Exceptional product - GA4 is Transformational

Likeliness to Recommend

Pros

PRIYAM V.

Plan better by gaining advanced insights.

Likeliness to Recommend

Pros

Cons

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Feature Ratings

Audience Segmentation

Conversion Analysis

Audience Demographics

Paid Search Integration

Search Engine Optimization

Device and Browser Analytics

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

Ease of IT Administration

Availability and Quality of Training

Usability and Intuitiveness

Vendor Support