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Mage Professional, Scientific, and Technical Services Reviews & Insights

Score8.6 out of 10

3 Reviews and Ratings

Mage Reviews

1 Review
Professional, Scientific, and Technical ServicesMarket Research1

Mage Review

Rating: 9 out of 10
Incentivized

Use Cases and Deployment Scope

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.

Pros

  • Channel sales decomposition.
  • Investment vs incremental impact.
  • Optimum channel mix.

Cons

  • Acquisition Contribution.
  • Business Intelligence Reporting.
  • Data Destinations.

Likelihood to Recommend

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.
Vetted Review
Mage
3 years of experience