Google

Google Analytics

8.4 /10

69 Reviews Write a Review

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What is Google Analytics?

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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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.

89 Likeliness to Recommend

2
Since last award

100 Plan to Renew

83 Satisfaction of Cost Relative to Value

5
Since last award

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Emotional Footprint Overview

+82 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?

1% Negative

15% Neutral

84% Positive

Pros

Respectful
Performance Enhancing
Enables Productivity
Reliable

Feature Ratings

Average 80

Audience Demographics

Conversion Analysis

Data Visualization

Audience Segmentation

Customer Journey Modelling

API Framework

Cross Channel Attribution Analysis

Predictive Analytics

Real Time Workflow Automation

Anomaly Detection

Metadata Management

Vendor Capability Ratings

Average 77

Business Value Created

Breadth of Features

Quality of Features

Ease of Customization

Ease of Data Integration

Ease of IT Administration

Ease of Implementation

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Availability and Quality of Training

Vendor Support

Also Featured in...

Product Analytics

Score 9.0

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

Website Analytics

Score 9.0

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A/B Testing

Score 8.6

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Google Analytics Reviews

Rasika B.

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

Validated Review

Verified Reviewer

Submitted Nov 2023

Very good analytics for website ecommerce

Likeliness to Recommend

8 /10

What differentiates Google Analytics from other similar products?

Google Analytics stands out for its wide adoption and cost-effectiveness

What is your favorite aspect of this product?

No-cost entry, user-friendly interface, and comprehensive reporting tools

What do you dislike most about this product?

Limitations in real-time reporting and the need for regular manual configurations

What recommendations would you give to someone considering this product?

Start with their free version, invest time in learning its features, and explore online resources and courses for a deeper understanding of web and app analytics.

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Trustworthy

Jenny H.

Role: Industry Specific Role
Industry: Not for Profit
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2023

Relatively easy to use, but can be limited.

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

It offers many of the same features, but sometimes it's a little challenging to navigate through the dashboard. And other times I found some features very limiting.

What is your favorite aspect of this product?

It's free to implement and track, but to run tests and campaigns, those will cost more.

What do you dislike most about this product?

I don't like how it feels very limited for certain teams.

What recommendations would you give to someone considering this product?

If you're considering a website tracker, this would be a great start. Just simply it provides all the basic information and tools you need. But if you're looking for advanced tools, you may need other tools to help supplement.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Google Analytics

What is Google Analytics?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

Google Analytics Ratings

89 Likeliness to Recommend

2 Since last award

100 Plan to Renew

83 Satisfaction of Cost Relative to Value

5 Since last award

Emotional Footprint Overview

+82 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.

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

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

Customer Journey Modelling Model and display customer behaviors or journeys through multiple channels (web, e-mail, social).

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.

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

Predictive Analytics The ability to make predictions about audience behavior based on historical data and machine learning.

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.

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

Metadata Management Easily manage metadata associated with customer data or audience segments.

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 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.

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

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.

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.

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.

Also Featured in...

Product Analytics

Website Analytics

A/B Testing

Google Analytics Reviews

Rasika B.

Very good analytics for website ecommerce

Likeliness to Recommend

Pros

Jenny H.

Relatively easy to use, but can be limited.

Likeliness to Recommend

Pros

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Feature Ratings

Audience Demographics

Conversion Analysis

Data Visualization

Audience Segmentation

Customer Journey Modelling

API Framework

Cross Channel Attribution Analysis

Predictive Analytics

Real Time Workflow Automation

Anomaly Detection

Metadata Management

Vendor Capability Ratings

Business Value Created

Breadth of Features

Quality of Features

Ease of Customization

Ease of Data Integration

Ease of IT Administration

Ease of Implementation

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Availability and Quality of Training

Vendor Support