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Google

Google Analytics 360

Composite Score

7.5 /10

CX Score

7.6 /10

17 Reviews Write a Review

What is Google Analytics 360?

Analytics 360 is tailored for the unique measurement needs of large enterprises with advanced customisation, scalable tools and enterprise-level support. It is part of the Google Marketing Platform which brings together your advertising and analytics to help you make quality customer connections, surface deeper insights, and drive better marketing results.

Company Details

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Google Analytics 360 Ratings

Real user data aggregated to summarize the product performance and customer experience.

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.

97 Likeliness to Recommend

59 Plan to Renew

91 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.

+84 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 360?

12% Negative

6% Neutral

82% Positive

Pros

Helps Innovate
Enables Productivity
Inspires Innovation
Client Friendly Policies

Feature Ratings

Average 68

Session Replay

Privacy, Security, and Regulatory Compliance

Audience Segmentation

Marketing Analytics

Cross-Channel Engagement Analytics

Website Analytics

Product Analytics

Predictive Analytics

Dashboards, Analytics and Reporting

Customer Journey Modelling

Event & Conversion Analytics

Vendor Capability Ratings

Average 71

Product Strategy and Rate of Improvement

Ease of Implementation

Usability and Intuitiveness

Ease of IT Administration

Business Value Created

Availability and Quality of Training

Vendor Support

Quality of Features

Ease of Data Integration

Ease of Customization

Breadth of Features

Google Analytics 360 Reviews

Aman Y.

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

Validated Review

Verified Reviewer

Submitted Feb 2026

Unsampled data deep insights for growth decision.

Likeliness to Recommend

10 /10

What differentiates Google Analytics 360 from other similar products?

This gives growth teams a clear picture of which channels pages and paths are truly driving performance.

What is your favorite aspect of this product?

The paid version offers dedicated support and service level agreements. Guaranteeing reliability and uptime for large product marketing organizations something missing in free tools.

What do you dislike most about this product?

Implementing event schemas identity stitching and cross platform tracking can be a bit time consuming without a proper plan meaningless data can result reducing clarity in growth insights.

What recommendations would you give to someone considering this product?

Evaluating large campaigns, deep user segmentation and cross channel performance windows is more powerful and reliable in ga360.

Pros

Helps Innovate
Reliable
Trustworthy
Unique Features

Cons

Less Caring
Less Friendly Negotiation
Less Effective Service

Jitendra Y.

Role: Information Technology
Industry: Consulting
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Feb 2026

When the truth begins to reveal at scale.

Likeliness to Recommend

10 /10

What differentiates Google Analytics 360 from other similar products?

Like a tool for simply counting traffic but rather for studying the habits of a large system.

What is your favorite aspect of this product?

It provides a reliable indication of whats happening in production. Custom dimensions and advanced reports make things clearer.

What do you dislike most about this product?

Not every team needs its full capabilities. Wrong settings can lead to incorrect conclusions.

What recommendations would you give to someone considering this product?

learned that smaller tools are better suited for smaller systems. Google analytics is useful for large and complex systems where predictions are difficult.

Pros

Continually Improving Product
Performance Enhancing
Unique Features
Efficient Service

Cons

Wastes Time
Under Delivered
Less Effective Service

Sunil r.

Role: Information Technology
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Feb 2026

advanced web analytics assessment for data analyst

Likeliness to Recommend

9 /10

What differentiates Google Analytics 360 from other similar products?

enterprise grade analytics platform capable of large scale data capture and high volume traffic analysis

What is your favorite aspect of this product?

provides stable, fast and accurate reporting on large data volume

What do you dislike most about this product?

technical complexity in the initial setup and custom event tagging especially for those without gtm experience.

What recommendations would you give to someone considering this product?

adopt ga360 as a data analyst in organizations that require high volume digital traffic and deep user behavior insights.

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Enables Productivity

Latest Research

Google Analytics 360

What is Google Analytics 360?

Company Details

Need Assistance?

Google Analytics 360 Ratings

97 Likeliness to Recommend

59 Plan to Renew

91 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+84 Net Emotional Footprint

How much do users love Google Analytics 360?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Session Replay Session replay with heatmaps or clickstream visualizations to diagnose issues, identify trends, or improve UX.

Privacy, Security, and Regulatory Compliance The vendor meets consumer privacy laws for the specific location (GDPR and CCPA), provides security, and complies with all other regulatory requirements.

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

Marketing Analytics Tracks campaign performance, attribution, and marketing ROI.

Cross-Channel Engagement Analytics Track and optimize user engagement and user flows across marketing campaigns and mobile apps by measuring ROI, retention, churn, and in-app behaviour.

Website Analytics Tracks page views, sessions, user flows, and website-specific KPIs.

Product Analytics Measures usage of specific features, adoption, retention, and engagement with a product.

Predictive Analytics Use machine learning to surface predictive insights and detect anomalies at scale, and provide data to make better decisions.

Dashboards, Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting, forecasting & easy data extraction for data analysis.

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

Event & Conversion Analytics Measure engagement and goal completion by tracking user actions and key conversions across channels.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

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 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.

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.

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

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.

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.

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.

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.

Google Analytics 360 Reviews

Aman Y.

Unsampled data deep insights for growth decision.

Likeliness to Recommend

Pros

Cons

Jitendra Y.

When the truth begins to reveal at scale.

Likeliness to Recommend

Pros

Cons

Sunil r.

advanced web analytics assessment for data analyst

Likeliness to Recommend

Pros

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Feature Ratings

Session Replay

Privacy, Security, and Regulatory Compliance

Audience Segmentation

Marketing Analytics

Cross-Channel Engagement Analytics

Website Analytics

Product Analytics

Predictive Analytics

Dashboards, Analytics and Reporting

Customer Journey Modelling

Event & Conversion Analytics

Vendor Capability Ratings

Product Strategy and Rate of Improvement

Ease of Implementation

Usability and Intuitiveness

Ease of IT Administration

Business Value Created

Availability and Quality of Training

Vendor Support

Quality of Features

Ease of Data Integration

Ease of Customization

Breadth of Features