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Google Content Experiments (discontinued)

Google Content Experiments (discontinued)

Overview

What is Google Content Experiments (discontinued)?

Google Content Experiments was a tool that can be used to create A/B test from within Google Analytics. It has been discontinued since 2019, and Google now recommends using its Google Optimize service for A/B testing.

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Pricing

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Unavailable

What is Google Content Experiments (discontinued)?

Google Content Experiments was a tool that can be used to create A/B test from within Google Analytics. It has been discontinued since 2019, and Google now recommends using its Google Optimize service for A/B testing.

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  • No setup fee

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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Oracle CX Marketing (formerly Oracle Marketing Cloud) is a solution designed to enable marketers to plan and execute automated marketing campaigns via email, display search, video advertising, and mobile while delivering a personalized customer experience for their prospects.

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Kameleoon boasts users among 500 corporate and enterprise companies across North America, Europe, and Asia Pacific to help brands deliver digital experiences and products to their customers. GDPR, CPPA, and HIPPA compliant, Kameleoon’s A/B testing, full stack, and AI-powered personalization…

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Product Details

What is Google Content Experiments (discontinued)?

Google Content Experiments was a tool that can be used to create A/B test from within Google Analytics. It has been discontinued since 2019, and Google now recommends using its Google Optimize service for A/B testing.

Google Content Experiments (discontinued) Competitors

Google Content Experiments (discontinued) Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(74)

Attribute Ratings

Reviews

(1-1 of 1)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use Google Content Experiments for AB testing in our Digital Marketing Department. Google Content Experiments allows us to test bounces, duration, click-throughs and session duration of users that enter our consumer websites. This tool allows us to test different marketing messages and designs to enhance the users experience, and helps us convert shoppers into buyers.
  • Real time data
  • Personalization
  • Back end development needed for detailed tests.
  • Some training required.
Google Content Experiments is suited for large and small organizations, no matter your organizational goals. It is not recommended for organizations that are only interested in qualitative data, as there are other tools for receiving specific user experience feedback. It is also not recommended that you implement tests without some sort of goal in mind.
Testing and Experimentation (19)
91.57894736842104%
9.2
a/b experiment testing
90%
9.0
Split URL testing
100%
10.0
Multivariate testing
100%
10.0
Multi-page/funnel testing
90%
9.0
Cross-browser testing
80%
8.0
Mobile app testing
80%
8.0
Test significance
90%
9.0
Visual / WYSIWYG editor
100%
10.0
Advanced code editor
90%
9.0
Page surveys
80%
8.0
Visitor recordings
80%
8.0
Preview mode
80%
8.0
Test duration calculator
100%
10.0
Experiment scheduler
100%
10.0
Experiment workflow and approval
80%
8.0
Dynamic experiment activation
100%
10.0
Client-side tests
100%
10.0
Server-side tests
100%
10.0
Mutually exclusive tests
100%
10.0
Audience Segmentation & Targeting (4)
100%
10.0
Standard visitor segmentation
100%
10.0
Behavioral visitor segmentation
100%
10.0
Traffic allocation control
100%
10.0
Website personalization
100%
10.0
Results and Analysis (8)
98.75%
9.9
Click analytics
100%
10.0
Form fill analysis
100%
10.0
Conversion tracking
100%
10.0
Goal tracking
100%
10.0
Test reporting
90%
9.0
Results segmentation
100%
10.0
CSV export
100%
10.0
Experiments results dashboard
100%
10.0
Platform Integration Features
N/A
N/A
  • Increased ROI
  • Faster decision making
Google Content Experiments is a free tool and the leading tool in the industry. It's pretty simple to set up a test and use content experiments to monitor objectives once Google Analytics is installed. Less experienced team members can run tests with some training. There are plenty of resources for instructions to use the tool through Google's documentation, which sets it apart from other tools.
Using the free tool, overall "live support" is limited. However, there are plenty of online resources to get started. If you need handheld support, it is best to upgrade the service or hire a developer through one of Google's partner agencies. There could be more support for understanding what makes a test useful or not.
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