Monetate - a great starting point
Updated July 11, 2023

Monetate - a great starting point

Anonymous | TrustRadius Reviewer
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
  • Segment user for AB testing
  • Personalized recommendation
  • Inject campaign based creatives
  • 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
We have a single point of contact for everything related to Monetate and they are very approachable. However, we have seen quite a few turn over on the Monetate side making it difficult for us to keep a strong relationship with the POC
We leverage in house SMEs
It does not have the flexibility to personalize the variables that we have identified as important during our internal discussions. Most of the time the personalization engine cannot identify a single variable as significant. This makes it very difficult for us to keep using this capability
we have a quarterly meeting set up
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

It is very easy to set up AB tests based on the overall population and can use improvements in setting up personalized and dynamic segmentation. Audience segmentation is relatively painless. They provide a robust way to granularly target visitors by device type, location, weather, demographics, etc.

Using Monetate

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. The platform then provides detailed performance data, allowing me to identify winning variations and refine my strategies accordingly. Monetate's seamless integration with other marketing tools, such as CRM systems or email marketing platforms, streamlines my workflow. I can easily synchronize customer data, leverage past interactions, and create cohesive cross-channel experiences that deliver consistent messaging throughout the customer journey.
ProsCons
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