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
Avenseo
Google Content Experiments (discontinued)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Avenseo
Google Content Experiments (discontinued)
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Avenseo
Google Content Experiments (discontinued)
Features
Avenseo
Google Content Experiments (discontinued)
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Avenseo
9.7
1 Ratings
15% above category average
Google Content Experiments (discontinued)
9.2
1 Ratings
10% above category average
a/b experiment testing
10.01 Ratings
9.01 Ratings
Split URL testing
10.01 Ratings
10.01 Ratings
Multivariate testing
10.01 Ratings
10.01 Ratings
Multi-page/funnel testing
10.01 Ratings
9.01 Ratings
Cross-browser testing
10.01 Ratings
8.01 Ratings
Mobile app testing
9.01 Ratings
8.01 Ratings
Test significance
10.01 Ratings
9.01 Ratings
Visual / WYSIWYG editor
10.01 Ratings
10.01 Ratings
Advanced code editor
7.01 Ratings
9.01 Ratings
Page surveys
8.01 Ratings
8.01 Ratings
Visitor recordings
10.01 Ratings
8.01 Ratings
Preview mode
10.01 Ratings
8.01 Ratings
Test duration calculator
10.01 Ratings
10.01 Ratings
Experiment scheduler
10.01 Ratings
10.01 Ratings
Experiment workflow and approval
10.01 Ratings
8.01 Ratings
Dynamic experiment activation
10.01 Ratings
10.01 Ratings
Client-side tests
10.01 Ratings
10.01 Ratings
Server-side tests
10.01 Ratings
10.01 Ratings
Mutually exclusive tests
10.01 Ratings
10.01 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Avenseo
10.0
1 Ratings
13% above category average
Google Content Experiments (discontinued)
10.0
1 Ratings
13% above category average
Standard visitor segmentation
10.01 Ratings
10.01 Ratings
Behavioral visitor segmentation
10.01 Ratings
10.01 Ratings
Traffic allocation control
10.01 Ratings
10.01 Ratings
Website personalization
10.01 Ratings
10.01 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
When a business wants to grow they need more conversion no matter what. In this regard, this A/B and MVT platform is a game-changer. If your business is on the right track then do not hesitate to jump into this software to witness a significant upgrade in your growth.
Do you already have Google Analytics? If so content experiments is a good, free, starting point to dip your toes in A/B testing. Do you need to run Multivariate experiments? If so, Google Content Experiments is not going to fit your needs.
Implementing Avenseo is quite easy; for most of our clients they have nothing to do but to add two lines of code and let us do the configuration of the test and the frontend developpement. You can easily check your variations as if it were already live, using a control box so you don't have unexpected bugs when your test goes live !
Content Experiments just makes it is simple and easy to implement A|B tests. We will be evaluating other tools in search of a more robust system for multivariate and cross-page testing, such as Optimizely or Visual Website Optimizer. However, for basic testing, you can't really beat it.
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.
Google Website Optimizer was a better product but has been discontinued. We have also used Test and Target , which has more features but we have been doing fine with Google Content Experiments. Most testing situations can be handled with Google Content Experiments.