1. Home
  2. Data Pipeline Tools
  3. Mage Reviews
  4. User Review of Mage
Mage Review
December 06, 2022

Mage Review

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

Overall Satisfaction with Mage

Mage helped us with 1. The probability score for uptake of every product is calculated for customers using ML/ Regression models 2. Pick Top customers for a product/Top products for a customer, based on the requirement. 3. Identify popular product combinations using 4. Association rules from Market Basket Analysis (or affinity Analysis)\Bundle these products as combos 5. Alternatively, use fast-selling products as carriers to sell high-margin but low-selling products.
  • Channel sales decomposition.
  • Investment vs incremental impact.
  • Optimum channel mix.
  • Acquisition Contribution.
  • Business Intelligence Reporting.
  • Data Destinations.
  • Real-time monitoring.
  • Alerting
  • Advanced Drill Downs.
  • Business Understanding.
  • Data Acquisition and Understanding.
  • Data Modeling and Evaluation.

Do you think Mage delivers good value for the price?

Yes

Are you happy with Mage's feature set?

Yes

Did Mage live up to sales and marketing promises?

Yes

Did implementation of Mage go as expected?

Yes

Would you buy Mage again?

Yes

Mage is well-suited for probability score for uptake of every product is calculated for customers using ML/ Regression models, choosing customers for a product/ Top products for a customer, based on the requirement and Identifying popular product combinations using association rules from Market Basket Analysis (or affinity Analysis)\Bundle these products as combos.