Smart Scoring
DATA SCIENCE
Detect your best prospects using Artificial Intelligence.
The Insurance/Banking/Mutual businesses need to assess the probability that a customer will be interested in a product from the range that they do not own in order to better advise them in their guaranteed approach.
Progress of a project
A Product Appetence Scoring project takes place in 5 steps:
FRAMEWORK > ANALYSIS > DATA PREPARATION > SCORING > MONITORING AND MANAGEMENT > DevOps PHASE*
*optional
The duration is generally 3 to 8 weeks. It differs depending on:
– Customer availability and responsiveness
– Availability of data
– Data quality
– Legal (if sensitive data)
To guarantee customer satisfaction and the good performance of the project, points are organized at the end of each stage in order to validate the past stage and ensure continuity in project monitoring (avoid overflowing with initial costs).
Thanks to Synergy, you can detect your best prospects using Data Science with:
A reduction in targeting costs, we push the offer only to the most interesting prospects.
A maximum growth potential and an estimated growth rate are quantified.
The total conversion percentage will be optimized.
An increase in customer satisfaction (consequence of effective targeting).
A scoring project makes it possible to identify avenues for database optimization (errors or changes to be made) = avenues for other projects.
Explainability of the approach to the client/business and direct collaboration on the choice of model variables.
Would you like to know more about Smart Scoring?
Our team is at your disposal to present its Data Science Service offering.