Monetating or not?
June 26, 2024

Monetating or not?

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Software Version

Certona (legacy)

Modules Used

  • Testing and Optimization
  • Customer Segmentation & Targeting

Overall Satisfaction with Monetate

We often perform A/B testing of copy and campaigns to see what generates more user acquisition or retention. As an example, we could be testing what generates more orders, free product with orders or % discounts with orders and we use Monetate to test something like that. Monetate provides great fixed KPI monitoring to help us make decisions on which test is more successful, even multivariate tests, to help us pick the best option to default.

Pros

  • A/B Testing
  • Multivariate Testing
  • KPI Monitoring
  • Change monitoring
  • Multiple tests in parallel

Cons

  • Changing test parameters after launching the test
  • Recording some user sessions that are part of the tests
  • Providing user insights for example demographics (if possible)
  • Increased CVR
  • Increased Revenue
  • Helped identify and shelf projects that could've had a negative impact on our customers
The onboarding was done pretty well and the documentation provided was also very comprehensive. Since the launch, every time we've reached out to support, we've received prompt responses for things as simple as access or user roles, or for more complex tasks like getting clarity on creating new tests and demographics.

Do you think Monetate delivers good value for the price?

Yes

Are you happy with Monetate's feature set?

Yes

Did Monetate live up to sales and marketing promises?

Yes

Did implementation of Monetate go as expected?

Yes

Would you buy Monetate again?

Yes

Scenarios where Monetate is well suited:
- Setting up simple A/B tests
- Where tech team doesn't have bandwidth to get involved, Monetate is pretty simple and PMs can easily get onboarded on it
- Making admin changes to integrated products

Scenarios where Monetate is less approprioate:
- Setting up bigger A/B tests that go across multiple components of a website
- Where dev involvement is too high

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