Monetate - a great starting point
Updated July 11, 2023
Monetate - a great starting point
Score 8 out of 10
Vetted Review
Verified User
Software Version
Certona (legacy)
Modules Used
- Testing and Optimization
- Recommendations
Overall Satisfaction with Monetate
We use Monetate to drive our A/B testing program that helps us test customer-centric hypotheses. Landing page optimization and personalization recommendations are the top priorities. The long-term roadmap is to create a more dynamic and real-time personalization using Monetate
Pros
- Segment user for AB testing
- Personalized recommendation
- Inject campaign based creatives
Cons
- Scope for Automation and real-time integration with Web
- Masking can be difficult to figure out
- Need a longer learning cycle for users to leverage all the capabilities available in the suite
- landing page optimization leading to higher conversion
- Utilizing Monetate has enabled us to test and measure the incremental revenue achieved through our segmentation initiatives
- Increase in CVR from product recommendations
Monetate allows us to compare and test different variations of content, layouts, or offers
Do you think Monetate delivers good value for the price?
Yes
Are you happy with Monetate's feature set?
No
Did Monetate live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Monetate go as expected?
No
Would you buy Monetate again?
Yes
Using Monetate
Pros | Cons |
---|---|
Like to use Relatively simple Easy to use Technical support not required Consistent Convenient Feel confident using | Lots to learn |
- Monetate's A/B testing functionality is incredibly useful for optimizing my campaigns. I can effortlessly set up and run experiments to compare different variations of content, layouts, or offers.
- One standout feature of Monetate is its robust targeting capabilities. I can easily segment my audience based on various criteria, such as demographics, browsing behavior, or purchase history
- Monetate's user-friendly reporting dashboard is a game-changer. It provides me with clear visualizations and actionable insights on key metrics,
- Limited personalization options - when aiming to implement advanced personalization strategies that require intricate rule-based targeting or dynamic content manipulation.
- Determining statistical significance within Monetate experiments often requires additional manual analysis or the use of external statistical tools. While the platform provides basic reporting on experiment performance, obtaining more advanced statistical analysis or detailed insights may require relying on external resources or performing manual calculations.
- Automated personalization experiences do not return a significant result most of the time and the factors used to segment the traffic is also hidden in case on insignificant result. This makes it difficult to improve the experiment in the following iteration
Comments
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