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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

Dhruv A.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jan 2026

Enterprise-grade analytics with top data scale

Likeliness to Recommend

9 /10

What differentiates Google Analytics 360 from other similar products?

I use Google Analytics 360 because it provides unsampled, high-volume data with enterprise-level accuracy, even at massive scale. I can seamlessly integrate analytics data with BigQuery and the Google Marketing Platform for advanced analysis. The strong SLAs and enterprise support make it reliable for mission-critical business reporting

What is your favorite aspect of this product?

My favorite aspect of Google Analytics 360 is the direct BigQuery integration, which lets me analyze raw, unsampled data at scale and build advanced, business-critical insights beyond standard reporting

What do you dislike most about this product?

The UI feels limited for deep product analytics, and advanced insights often require heavy dependence on BigQuery and technical expertise rather than being easily accessible in the interface

What recommendations would you give to someone considering this product?

If you’re considering Google Analytics 360, make sure you really need enterprise-scale data and unsampled reporting, because the cost is significant. Also plan for BigQuery integration and technical resources upfront so you can unlock its full analytical power beyond basic dashboards

Pros

Helps Innovate
Reliable
Respectful
Client Friendly Policies

Vijay S.

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

Validated Review

Verified Reviewer

Submitted Jan 2026

Enterprise level user data modeling platform.

Likeliness to Recommend

10 /10

What differentiates Google Analytics 360 from other similar products?

Google analytics 360 goes beyond basic web analytics handling large traffic volumes and multi property data simultaneously.

What is your favorite aspect of this product?

Cross device and channel tracking provides a more complete and reliable view of user behavior.

What do you dislike most about this product?

Even a small error in setup and configuration can lead to misleading data.

What recommendations would you give to someone considering this product?

Google nalytics is a powerful and professional solution for teams looking to perform large scale behavioral analysis churn prediction or real time personalization.

Pros

Helps Innovate
Performance Enhancing
Unique Features
Efficient Service

Daniel A.

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

Validated Review

Verified Reviewer

Submitted Dec 2025

I love using google analytics for my work, it cool

Likeliness to Recommend

9 /10

What differentiates Google Analytics 360 from other similar products?

If these symptoms appear, refer or seek care urgently.

What is your favorite aspect of this product?

I love the fact that it integrates seamlessly with other products

What do you dislike most about this product?

I dislike the customer service and the way that they usually delay responding to issues.

What recommendations would you give to someone considering this product?

I will always recommend the product to anyone

Pros

Efficient Service
Saves Time
Client Friendly Policies
Altruistic

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

Dhruv A.

Enterprise-grade analytics with top data scale

Likeliness to Recommend

Pros

Vijay S.

Enterprise level user data modeling platform.

Likeliness to Recommend

Pros

Daniel A.

I love using google analytics for my work, it cool

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