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Google

Google Analytics

Composite Score

8.8 /10

CX Score

9.1 /10

262 Reviews Write a Review

Claim Software

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

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

Reliable
Performance Enhancing
Respectful
Enables Productivity

Feature Ratings

Average 82

Audience Demographics

Conversion Analysis

API Framework

Audience Segmentation

Data Visualization

Anomaly Detection

Cross Channel Attribution Analysis

Real Time Workflow Automation

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

Ease of IT Administration

Usability and Intuitiveness

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

Daniel C.

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

Validated Review

Verified Reviewer

Submitted Nov 2023

Good product

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

Google Analytics 4 properties use “dimensions” as the foundation for data collection and reporting

What is your favorite aspect of this product?

Tracking and reporting

What do you dislike most about this product?

I prefer universal

What recommendations would you give to someone considering this product?

Dive in and do as much research as possible

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Gabrielle D.

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

Validated Review

Verified Reviewer

Submitted Nov 2023

Nothing i guess

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

Data Analitycs and mensuration

What do you dislike most about this product?

Delay data

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Akshaj M.

Role: Student Academic
Industry: Engineering
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Nov 2023

In-depth Insights, User-Friendly

Likeliness to Recommend

9 /10

What differentiates Google Analytics from other similar products?

Google Analytics is different because it gives really deep insights for free. It's good at tracking all kinds of user actions and gives you a clear picture of your website’s performance. Plus, it works well with other Google tools, which is handy.

What is your favorite aspect of this product?

My favorite thing about Google Analytics is how it shows so much about who visits your site and what they do there. The data is really detailed, and you can see how changes on your site affect visitor behavior, which is super useful for making improvements.

What do you dislike most about this product?

The thing that's tough about Google Analytics is it can be really complex and hard to understand, especially if you're new to it. Sometimes, finding the exact data you need is challenging, and the interface can be overwhelming with so much information.

What recommendations would you give to someone considering this product?

If you're thinking about Google Analytics, start by setting clear goals for what you want to track. Take time to learn the basics, as it can be complex. Also, use its customization options to get the most relevant data for your needs.

Pros

Helps Innovate
Performance Enhancing
Efficient Service
Respectful

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

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

Audience Demographics Capture, analyze and display demographic data from customer interaction channels.

Conversion Analysis Capture and analyze conversion data and conversion paths from multiple channels.

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.

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

Data Visualization Visualize customer data in configurable dashboards or reports, and easily share these visualizations with decision makers.

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

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

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.

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.

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

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.

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

Daniel C.

Good product

Likeliness to Recommend

Pros

Gabrielle D.

Nothing i guess

Likeliness to Recommend

Pros

Akshaj M.

In-depth Insights, User-Friendly

Likeliness to Recommend

Pros

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1
Since last award

Feature Ratings

Audience Demographics

Conversion Analysis

API Framework

Audience Segmentation

Data Visualization

Anomaly Detection

Cross Channel Attribution Analysis

Real Time Workflow Automation

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

Ease of IT Administration

Usability and Intuitiveness

Availability and Quality of Training

Product Strategy and Rate of Improvement

Vendor Support