Google

Google Analytics

8.5 /10

77 Reviews Write a Review

Claim Software

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

99 Plan to Renew

1
Since last award

83 Satisfaction of Cost Relative to Value

5
Since last award

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Emotional Footprint Overview

+83 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

13% Neutral

86% Positive

Pros

Respectful
Performance Enhancing
Reliable
Enables Productivity

Feature Ratings

Average 81

Audience Demographics

Conversion Analysis

Data Visualization

Audience Segmentation

Customer Journey Modelling

API Framework

Predictive Analytics

Cross Channel Attribution Analysis

Real Time Workflow Automation

Metadata Management

Anomaly Detection

Vendor Capability Ratings

Average 78

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

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Score 9.0

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Score 9.0

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A/B Testing

Score 8.7

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Google Analytics Reviews

Cy S.

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

Validated Review

Verified Reviewer

Submitted Nov 2023

Great product once integrated

Likeliness to Recommend

8 /10

What differentiates Google Analytics from other similar products?

- Many different lenses to view performance

What is your favorite aspect of this product?

- Easily compare metrics from different windows of time

What do you dislike most about this product?

- Difficult to see revenue impact for upper funnel initiatives

What recommendations would you give to someone considering this product?

- Compare results with other attribution platforms if possible

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Sam Z.

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

Validated Review

Verified Reviewer

Submitted Nov 2023

Disappointed with the updates in GA4

Likeliness to Recommend

6 /10

What differentiates Google Analytics from other similar products?

Integration with other Google products / accessibility/ cost

What is your favorite aspect of this product?

Intuitive ux

What do you dislike most about this product?

No more real time data in GA4

What recommendations would you give to someone considering this product?

You will likely need a backup solution to Google / I don’t trust it anymore

Pros

Helps Innovate
Performance Enhancing
Enables Productivity
Inspires Innovation

Cons

Commodity Features
Less Effective Service
Less Caring

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

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

99 Plan to Renew

1 Since last award

83 Satisfaction of Cost Relative to Value

5 Since last award

Emotional Footprint Overview

+83 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.

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

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.

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

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

Cy S.

Great product once integrated

Likeliness to Recommend

Pros

Sam Z.

Disappointed with the updates in GA4

Likeliness to Recommend

Pros

Cons

Daniel C.

Good product

Likeliness to Recommend

Pros

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Feature Ratings

Audience Demographics

Conversion Analysis

Data Visualization

Audience Segmentation

Customer Journey Modelling

API Framework

Predictive Analytics

Cross Channel Attribution Analysis

Real Time Workflow Automation

Metadata Management

Anomaly Detection

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