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Insurance companies are always are interested in obtaining detailed reports on the number of accidents, and understanding what type and severity of accidents are most common as well as the most common parts are involved in each type. The main aim of this report is to provide a holistic perspective in opportunities in a company.
This report will help the managers to figure out in which city, team, year they have lost or won opportunities.
A predictive model identifies the characteristics/indicators of churn (silent/explicit) and a customer level predictive score across a timeline demonstrates the likelihood of churn at different period, identifying the threshold.
This, allows them to see if they need to focus their promotional activity in a particular area, for example call more target customers, when under performing compared to the target set or compared to region or national performance.
Leverage your own CRM data and our advanced Machine Learning techniques to help your sales reps do whatever is needed to retain customers, grow the business with existing customers and find new sales opportunities.
The distance to churn predictive solution helps identify WHEN the customers are likely to churn in an open-ended logical timeline (not infinity) and to retain ‘valued’ customers by generating a long-time foresight on their possibility of churn.
From these reports, the managers can spot some historical patterns and trends of the data, see comparisons between some interesting KPIs and so on.
Market2Improve evaluates and measures the productive operation of a given industry.