This content is currently locked.

Your current Info-Tech Research Group subscription does not include access to this content. Contact your account representative to gain access to Premium SoftwareReviews.

Contact Your Representative

Or Call Us:
1-888-670-8889 (US/CAN) or
+1-519-432-3550 (International)

Google

Google Analytics

Composite Score

8.7 /10

CX Score

9.0 /10

120 Reviews Write a Review

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

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

Google Analytics won the following awards in the Customer Intelligence category

Filter By

2024 Data Quadrant Gold Medalist

Latest Award, 2024

0 Top Rated Capabilities

1 Top Rated Features

Latest Award, 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

98 Plan to Renew

1
Since last award

86 Satisfaction of Cost Relative to Value

2
Since last award

{y}

{name}

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.

+87 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?

3% Negative

10% Neutral

87% Positive

Pros

Performance Enhancing
Enables Productivity
Respectful
Reliable

Feature Ratings

Average 82

Audience Demographics

Conversion Analysis

Data Visualization

Audience Segmentation

Cross Channel Attribution Analysis

Customer Journey Modelling

API Framework

Predictive Analytics

Anomaly Detection

Metadata Management

Real Time Workflow Automation

Vendor Capability Ratings

Average 80

Business Value Created

Ease of IT Administration

Breadth of Features

Ease of Data Integration

Quality of Features

Ease of Customization

Ease of Implementation

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Availability and Quality of Training

Vendor Support

Also Featured in...

Product Analytics

Translation missing: en.product_page.ratings.score 9.0

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

Website Analytics

Translation missing: en.product_page.ratings.score 8.9

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

A/B Testing

Translation missing: en.product_page.ratings.score 8.7

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

Google Analytics Reviews

Role: C-Level
Industry: Education
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Nov 2024

Love GA. It’s the best!

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Himanshu J.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

Perfect analytics tool

Likeliness to Recommend

9 /10

What differentiates Google Analytics from other similar products?

1. Perfect interface and intuitive user platform. 2. Number of features for analytics in one place. Give proper information of customer insights and data. 3. Helps in fixing sites issues, managing and optimizing campaign which results in increasing sales.

What is your favorite aspect of this product?

It ultimately helps in increasing sales by giving customer insights and reviews over the demand in market,

What do you dislike most about this product?

1. It is very confusing to understand for initial few days. 2. We feel the budget consumption in more in campaign with respect to the results. 3. Very professional support which sometimes become a problem for normal people using this.

What recommendations would you give to someone considering this product?

From increasing and proper market analysis , it is very good.

Pros

Efficient Service
Inspires Innovation
Altruistic
Helps Innovate

Wole O.

Role: Operations
Industry: Manufacturing
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Oct 2024

Plug and Play!

Likeliness to Recommend

9 /10

What differentiates Google Analytics from other similar products?

Can be used for both app and website

What is your favorite aspect of this product?

Ease of use

What do you dislike most about this product?

User interface could be better

What recommendations would you give to someone considering this product?

Easy to implement

Pros

Reliable
Performance Enhancing
Enables Productivity
Efficient Service

Latest Research

Google Analytics

What is Google Analytics?

Company Details

Need Assistance?

Awards & Recognition

2024 Data Quadrant Gold Medalist

2024 Emotional Footprint Champion

Google Analytics Ratings

90 Likeliness to Recommend

98 Plan to Renew

1 Since last award

86 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+87 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.

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

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.

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.

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.

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.

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

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 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 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 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

Love GA. It’s the best!

Likeliness to Recommend

Pros

Himanshu J.

Perfect analytics tool

Likeliness to Recommend

Pros

Wole O.

Plug and Play!

Likeliness to Recommend

Pros

Most Popular Google Analytics Comparisons

Adobe Analytics

Semrush

HubSpot Sales Hub

Tableau CRM Analytics

SAP Analytics Cloud

Qualtrics CoreXM

Title

1
Since last award

2
Since last award

Feature Ratings

Audience Demographics

Conversion Analysis

Data Visualization

Audience Segmentation

Cross Channel Attribution Analysis

Customer Journey Modelling

API Framework

Predictive Analytics

Anomaly Detection

Metadata Management

Real Time Workflow Automation

Vendor Capability Ratings

Business Value Created

Ease of IT Administration

Breadth of Features

Ease of Data Integration

Quality of Features

Ease of Customization

Ease of Implementation

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Availability and Quality of Training

Vendor Support