Integrates well with Google Analytics
January 30, 2020

Integrates well with Google Analytics

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google Content Experiments

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.

Pros

  • Real time data
  • Personalization

Cons

  • Back end development needed for detailed tests.
  • Some training required.
  • 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.

Do you think Google Content Experiments (discontinued) delivers good value for the price?

Yes

Are you happy with Google Content Experiments (discontinued)'s feature set?

Yes

Did Google Content Experiments (discontinued) live up to sales and marketing promises?

Yes

Did implementation of Google Content Experiments (discontinued) go as expected?

Yes

Would you buy Google Content Experiments (discontinued) again?

Yes

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.

Google Content Experiments (discontinued) Feature Ratings

a/b experiment testing
9
Split URL testing
10
Multivariate testing
10
Multi-page/funnel testing
9
Cross-browser testing
8
Mobile app testing
8
Test significance
9
Visual / WYSIWYG editor
10
Advanced code editor
9
Page surveys
8
Visitor recordings
8
Preview mode
8
Test duration calculator
10
Experiment scheduler
10
Experiment workflow and approval
8
Dynamic experiment activation
10
Client-side tests
10
Server-side tests
10
Mutually exclusive tests
10
Standard visitor segmentation
10
Behavioral visitor segmentation
10
Traffic allocation control
10
Website personalization
10
Click analytics
10
Form fill analysis
10
Conversion tracking
10
Goal tracking
10
Test reporting
9
Results segmentation
10
CSV export
10
Experiments results dashboard
10

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