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ANALYTICS IN INSURANCE
Marketelligent is in the business of providing           Industry – both Property & Casualty, and Life
analytic services that help you make smarter             & Health, we offer an affordable global
business decisions. With deep expertise in               delivery model leveraging the best of
Risk and Marketing across the Insurance                  domain expertise and analytic capabilities.



          Profitable
                                     Acquiring the right
         Underwriting
    - Risk Assessment & Pricing           Customers
         - Premium Analysis          - Channel Economics &
            - Portfolio Risk             Effectiveness
          Management                   - Geo Optimization                          Analytics drive
          - Loss Analysis          - Marketing $ Optimization
                                                                                   key decisions
                                                                                     across an
     Maximize Revenues                                                               Insurance
   from Existing Customers            Claims Servicing
    - Customer Lifetime Value                                                         Business
                                       - Claims Estimation
       - Cross-sell / Up-sell                Analysis
       - Customer Attrition            - Fraudulent Claims
         - Policy Lapsation
            - Collections




                                                          Segmentation is the foundation for all analytics.
        CUSTOMER SEGMENTATION                             Typical parameters for Customer Segments are:
Better segmentation & targeting can improve
                                                          • Value of the Customer – present / life time
Return on Marketing Investments by upto 50%
                                                          • Nature of transactions – recency, frequency,
                                                            value
                                                          • No of products used
                                                          • Demographic profile – age, occupation, income
                                                          Segmentation is used for sharper targeting of
                                                          activities like :
                                                          • Campaign management
                                                          • Loyalty programmes
                                                          • Cross Sell / Up Sell
LEVERAGING ANALYTICS
       FOR THE INSURANCE INDUSTRY
                               PREDICT USING SCORECARDS                                                                                         RETAIN & ACTIVATE
                                  100%
                                                Lower defaults by upto
            Cumulative Default Rate




                                      90%         15% using approval                                                                                                        Increase activation by
                                                     scorecards                                                                                                              upto 20% by optimal
                                      80%
                                                                                                                                                                          targeting and right offers
                                      70%

                                      60%
                                                                                                                                                                  Retention




                                                                                                                 Value
                                      50%
                                                                                         Random
                                      40%                                                                                                                                            Activation
                                      30%                                                New Model

                                      20%                                                Existing Model
                                      10%                                                                                                                                                        Time
                                      0%
                                                                                                                            Acquisition         Usage & Loyalty
                                            0   1     2     3     4      5     6     7      8     9    10
                                                           Scorecard Deciles
                                                                                                                         Identify Customers at Risk of Disengagement via predictive
   Design, develop and implement predictive scorecards across                                                               scorecards. Take appropriate action to lower attrition.
    functions: response, approvals, delinquencies, collections,                                                            Segment Inactive Customers across various dimensions.
                          cross-sell, etc                                                                                         Implement targeted activation campaigns.

           CUSTOMER LIFE TIME VALUE (CLV)                                                                                          MAXIMIZE POLICY RENEWALS
      Know how much each Customer is worth                                                                                   Policy renewal rates can go up by 20% by
         so that you can target optimally                                                                                            using Predictive Analytics
Known
                                                          Predict
from
                                                          Response
existing
                                                          Rates
P&L’s
                                                                                                                                                                                    Policy
                                                                             Acquisition
           Monthly                                                                                                                                                                  Reinstatement
                                                                             Costs
           Expenses                                                                                                                                                                 Scorecard
                                                                                                      Customer
                                                                                                      Lifetime
                                                    Net Margin                                        Value              Required Effort
                                                                             Accumul-                                    (Efforts required to
           Monthly                                                           ated                                        collect dues)
           Revenues                                                          Margin
                                                    Customer
                                                    Lifespan


    Predict                                                              Predict
    monthly                                                              Customer                                                                                         Premium Value
    Revenues                                                             Attrition




       CONTACT                                                                                                                                              www.marketelligent.com

                                                                                                MARKETELLIGENT, INC.
                                                                     80 Broad Street, 5th Floor, New York, NY 10004
                                                          1.212.837.7827 (o) 1.208.439.5551 (fax) info@marketelligent.com

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Analytics for insurance marketelligent

  • 1. ANALYTICS IN INSURANCE Marketelligent is in the business of providing Industry – both Property & Casualty, and Life analytic services that help you make smarter & Health, we offer an affordable global business decisions. With deep expertise in delivery model leveraging the best of Risk and Marketing across the Insurance domain expertise and analytic capabilities. Profitable Acquiring the right Underwriting - Risk Assessment & Pricing Customers - Premium Analysis - Channel Economics & - Portfolio Risk Effectiveness Management - Geo Optimization Analytics drive - Loss Analysis - Marketing $ Optimization key decisions across an Maximize Revenues Insurance from Existing Customers Claims Servicing - Customer Lifetime Value Business - Claims Estimation - Cross-sell / Up-sell Analysis - Customer Attrition - Fraudulent Claims - Policy Lapsation - Collections Segmentation is the foundation for all analytics. CUSTOMER SEGMENTATION Typical parameters for Customer Segments are: Better segmentation & targeting can improve • Value of the Customer – present / life time Return on Marketing Investments by upto 50% • Nature of transactions – recency, frequency, value • No of products used • Demographic profile – age, occupation, income Segmentation is used for sharper targeting of activities like : • Campaign management • Loyalty programmes • Cross Sell / Up Sell
  • 2. LEVERAGING ANALYTICS FOR THE INSURANCE INDUSTRY PREDICT USING SCORECARDS RETAIN & ACTIVATE 100% Lower defaults by upto Cumulative Default Rate 90% 15% using approval Increase activation by scorecards upto 20% by optimal 80% targeting and right offers 70% 60% Retention Value 50% Random 40% Activation 30% New Model 20% Existing Model 10% Time 0% Acquisition Usage & Loyalty 0 1 2 3 4 5 6 7 8 9 10 Scorecard Deciles Identify Customers at Risk of Disengagement via predictive Design, develop and implement predictive scorecards across scorecards. Take appropriate action to lower attrition. functions: response, approvals, delinquencies, collections, Segment Inactive Customers across various dimensions. cross-sell, etc Implement targeted activation campaigns. CUSTOMER LIFE TIME VALUE (CLV) MAXIMIZE POLICY RENEWALS Know how much each Customer is worth Policy renewal rates can go up by 20% by so that you can target optimally using Predictive Analytics Known Predict from Response existing Rates P&L’s Policy Acquisition Monthly Reinstatement Costs Expenses Scorecard Customer Lifetime Net Margin Value Required Effort Accumul- (Efforts required to Monthly ated collect dues) Revenues Margin Customer Lifespan Predict Predict monthly Customer Premium Value Revenues Attrition CONTACT www.marketelligent.com MARKETELLIGENT, INC. 80 Broad Street, 5th Floor, New York, NY 10004 1.212.837.7827 (o) 1.208.439.5551 (fax) info@marketelligent.com