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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Wunderkind
Score5 out of 10
N/A
Wunderkind (formerly BounceX) is presented as a people-based marketing cloud. It includes behavior-based personalization capabilities for website content, email, and other channels. The vendor states digital businesses use Wunderkind to remember who site visitors are, allowing them to deliver high-converting, one-to-one messages on websites, through emails and texts, and in ads at scale.
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Pricing
Google Content Experiments (discontinued)
Wunderkind
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Content Experiments (discontinued)
Wunderkind
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
Features
Google Content Experiments (discontinued)
Wunderkind
Testing and Experimentation
Comparison of Testing and Experimentation features of Google Content Experiments (discontinued) and Wunderkind
Feature
Google Content Experiments (discontinued)
9.2
1 Ratings
9% above category average
Wunderkind
-
Ratings
a/b experiment testing
9.01 Ratings
00 Ratings
Split URL testing
10.01 Ratings
00 Ratings
Multivariate testing
10.01 Ratings
00 Ratings
Multi-page/funnel testing
9.01 Ratings
00 Ratings
Cross-browser testing
8.01 Ratings
00 Ratings
Mobile app testing
8.01 Ratings
00 Ratings
Test significance
9.01 Ratings
00 Ratings
Visual / WYSIWYG editor
10.01 Ratings
00 Ratings
Advanced code editor
9.01 Ratings
00 Ratings
Page surveys
8.01 Ratings
00 Ratings
Visitor recordings
8.01 Ratings
00 Ratings
Preview mode
8.01 Ratings
00 Ratings
Test duration calculator
10.01 Ratings
00 Ratings
Experiment scheduler
10.01 Ratings
00 Ratings
Experiment workflow and approval
8.01 Ratings
00 Ratings
Dynamic experiment activation
10.01 Ratings
00 Ratings
Client-side tests
10.01 Ratings
00 Ratings
Server-side tests
10.01 Ratings
00 Ratings
Mutually exclusive tests
10.01 Ratings
00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Google Content Experiments (discontinued) and Wunderkind
Feature
Google Content Experiments (discontinued)
10.0
1 Ratings
13% above category average
Wunderkind
-
Ratings
Standard visitor segmentation
10.01 Ratings
00 Ratings
Behavioral visitor segmentation
10.01 Ratings
00 Ratings
Traffic allocation control
10.01 Ratings
00 Ratings
Website personalization
10.01 Ratings
00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Google Content Experiments (discontinued) and Wunderkind
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
BounceX is well suited if you want to boost list/customer base growth, but a tricky aspect of it for me is that I don't know the benefit smaller companies would get from BounceX to accelerate growth without having an existing customer base.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Beware if you buy from them you are committed for a year. It is too expensive for the offering and they offer no solutions for you to manage the process/tool at a discounted rate. Will not renew my contract, that’s for sure.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We've used both Emarsys and Klaviyo as our ESP, while using Wunderkind to handle email/SMS acquisition and abandonment emails. Wunderkind has proven to be able to capture more emails and send more behavioral emails with the contact matching technology.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
For the email campaigns we had an original agreement for them to produce a 5X return on ad spend and thus far they have produced a greater than 8X return
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info