Google Analytics Customer Reviews 2024

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.

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Awards & Recognition

Google Analytics won the following awards in the Website Analytics category

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Strategy and Innovation
Product Impact

2023

2023 Data Quadrant Gold Medalist

2023

7 Top Rated Capabilities

10 Top Rated Features

2023

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

90 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.

+90 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?

2% Negative

4% Neutral

94% Positive

Pros

Reliable
Performance Enhancing
Enables Productivity
Helps Innovate

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Customer Intelligence

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A/B Testing

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Google Analytics Reviews

Preetika T.

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

Validated Review

Verified Reviewer

Submitted Aug 2024

Ga4 is not as in depth as UA

Likeliness to Recommend

8 /10

What differentiates Google Analytics from other similar products?

You've to tatget search engine, so why would you prefer any other tool, first go to tool is this.

What is your favorite aspect of this product?

audience insights

What do you dislike most about this product?

new version is really complex, less cutsomisable.

What recommendations would you give to someone considering this product?

You can at least use free version, then give it thought whether it's your go to tool or not.

Pros

Respectful
Helps Innovate
Continually Improving Product
Reliable

Rimsha K.

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

Validated Review

Verified Reviewer

Submitted Aug 2024

I understand web and mobile traffic better.

Likeliness to Recommend

10 /10

What differentiates Google Analytics from other similar products?

Google analytics data metrics covers a vast area of user interaction with our web and mobile platform , such as multi-channel attributions, audience segmentation, traffic reporting and traffic source tracking, funnel analysis, etc While close substitute solutions provides specific metrics, none is currently able to provide metrics as vast as what Google analytics provides . Asides the above, Google analytics is deeply integrated with Google's ecosystem by integrating with other Google solution like Google search and Google ads. Enabling a more advanced visibility into cross channel conversion tracking and search performance.

What is your favorite aspect of this product?

Analytics built-in automation, I love this part of Google analytics and it is currently my favorite, I have leveraged on Google analytics (GA) machine learning models to analyze critical data generated off the end-users interaction with my company's product website and mobile app. By using GA's in-built machine learning models, it is a lot straightforward to predict the behavior and future actions of our website and mobile application users with less manual effort.

What do you dislike most about this product?

Although I do get spoilt for choice when I use Google analytics for tracking website and mobile application data, I was overwhelmed in the first few months of using this software solution. This complexity was as a result of the amount of features and settings available on Google analytics, is the major con I can associate with this product. Good training within organizations and even dedicated access to Google analytics support materials help to alleviate the above potential 'con' of this product.

What recommendations would you give to someone considering this product?

I recommend Google analytics.

Pros

Reliable
Performance Enhancing
Enables Productivity
Security Protects

Simran S.

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

Validated Review

Verified Reviewer

Submitted Aug 2024

Best in business

Likeliness to Recommend

9 /10

What differentiates Google Analytics from other similar products?

It was easy to use and the greatest analytics platform.

What is your favorite aspect of this product?

Setup simplicity. creation of insights. Without charge. Current traffic data

What do you dislike most about this product?

Poor customer support, but it worked.

What recommendations would you give to someone considering this product?

I can accomplish much for my business. Built-in reports let me verify crucial metrics.

Pros

Inspires Innovation
Caring
Respectful
Fair

How We Deliver

Google Analytics

What is Google Analytics?

Company Details

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Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

Google Analytics Ratings

90 Likeliness to Recommend

98 Plan to Renew

90 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+90 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 Segmentation The ability to create and analyze discrete customer audience segments based on user-defined criteria or variables.

Device and Browser Analytics Capture and summarize device and browser information.

Audience Demographics The ability to capture, analyze and display customer demographic/firmographic data from different channels.

Paid Search Integration Integrates with popular search advertising services (i.e. AdWords) and can make predictive recommendations around areas like keywords.

Conversion Analysis The ability to capture and analyze conversion (transaction) data and conversion paths from the web or associated channels.

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

Search Engine Optimization Provides targeted recommendations for improving and optimizing a page for organic search rankings (i.e. via A/B testing or multivariate testing).

Customer Value Analysis Predicts customer lifetime value based on past conversions.

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

Social Media Analytics Captures information on social signals from popular services (Twitter, Facebook, LinkedIn etc.).

API Framework Move data to and from the platform and other customer interaction applications (i.e. Marketing Automation) with ease.

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 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.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

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

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.

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.

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.

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

Customer Intelligence

A/B Testing

Google Analytics Reviews

Preetika T.

Ga4 is not as in depth as UA

Likeliness to Recommend

Pros

Rimsha K.

I understand web and mobile traffic better.

Likeliness to Recommend

Pros

Simran S.

Best in business

Likeliness to Recommend

Pros

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Title

Feature Ratings

Audience Segmentation

Device and Browser Analytics

Audience Demographics

Paid Search Integration

Conversion Analysis

Data Visualization

Search Engine Optimization

Customer Value Analysis

Customer Journey Modelling

Social Media Analytics

API Framework

Vendor Capability Ratings

Business Value Created

Breadth of Features

Quality of Features

Ease of Implementation

Ease of Data Integration

Product Strategy and Rate of Improvement

Ease of IT Administration

Availability and Quality of Training

Ease of Customization

Usability and Intuitiveness

Vendor Support