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The seasons of Indian life insurance
                          •    How well do you know
                               your seasons?
                          •    Can you use that
                               knowledge to run the
                               business operations
                               more profitably?



       Presented by: IBEXI Met Department
          ( IBEXI Analytics and BI team)
Sure, it pours in March every year.
               But do you know:
•Which month always has second-
highest sales?
•Is there a greater skew for group vs.
individuals?
•For single premium or regular
premiums?
•Has the skew changed over the last
few years?
•Are there outlier companies? What
do they tell us?                               •       Does your guess/ intuition
•How can a company use its                             match the data?
seasonality index?                             •       Check it out.

Source: www.irda.gov.in;   Note: Sales = Annualised First Year Premiums
Which month always has the
        second-highest sales?
•   Options: Feb; Jan; Dec; Nov.; None of the above.
Which month always has the
                      second-highest sales?
•     Options: Feb; Jan; Dec; Nov.; None of the above.
•     Answer: None of the above.
                –    It varies from year to year! In 2006-07, it was November. In
                     '07-08 and '08-09, it was January. In '09-10, it was December.
                     In '10-11, it was August! And it was back to January in '11-12.
    25%



    20%



    15%



    10%



    5%



    0%
          Apr        May   Jun    Jul        Aug         Sep         Oct             Nov             Dec             Jan   Feb

                                   2006-07     2007-08     2008-09         2009-10         2010-11         2011-12
The March sales skew: is it usually
sharper for LIC or for private insurers?
•   Options: LIC; Private Insurers
The March sales skew: is it usually
sharper for LIC or for private insurers?
•   Options: LIC; Private Insurers
•   Answer: Usually, and on the average, private
    insurers have a sharper March skew than LIC.
     30%



     25%



     20%



     15%                                                                         Private
                                                                                 LIC

     10%



     5%



     0%
           2006-07   2007-08   2008-09   2009-10   2010-11   2011-12   Average
In Indian life insurance, which skews
          more: individual or group?
•    Options: Individual; Group; Similar
In Indian life insurance, which skews
          more: individual or group?
•    Options: Individual; Group; Similar
•    Answer: On an average, group business especially
     historically. More on it later!

             30%


             25%


             20%

                                         Group
             15%
                                         Individual

             10%


              5%


              0%
                   Average March sales
Are the skews the same for regular or
              single premium?
•     Options: Single premium; Non-single; They are similar
Are the skews the same for regular or
              single premium?
•     Options: Single premium; Non-single; They are similar
•     Answer: On an average, across years, the group business has a
      greater skew for regular business; but the individual business is
      equally skewed for both!

      35%


      30%


      25%


      20%


      15%


      10%


       5%
                                                  Group Non-Single Premium
                                                  Group Single Premium
       0%                                         Individual Non-Single Premium
                           Average                Individual Single Premium
Has the skew changed over time from
            2006 to 2011?
• Options: Yes, it has become less; No, it has not changed.
Has the skew changed over time from
            2006 to 2011?
• Options: Yes, it has become less; No, it has not changed.
• Answer: Across years -'10-11 and '11-12 - the group business skew has
  reduced greatly; but the individual business has changed only a little.
       45%


       40%


       35%


       30%


       25%
                                                                         Group
       20%                                                               Individual

       15%


       10%


        5%


        0%
             2006-07   2007-08   2008-09   2009-10   2010-11   2011-12
Which company has the highest skew
           in March?
Which company has the highest skew
               in March?
•               IndiaFirst, consistently, with 63% and 43% of its new
                business in March in '11-12 and '10-11.
                 –          Note: The nearest highest skew is just 29%.
    70%



    60%



    50%



    40%

                           IndiaFirst – 2010
    30%
                           IndiaFirst – 2011
                           Industry average
    20%



    10%



    0%
          Apr        May        Jun     Jul    Aug   Sep   Oct   Nov   Dec   Jan   Feb   Mar
•            Note that the huge March skew of India First is
             driven by Group Regular business in each year.
100%


90%


80%


70%            2010 - Group Non-Single Premium              2010 - Group Single Premium
               2010 - Individual Non-Single Premium         2010 - Individual Single Premium
60%            2011 -Group Non-Single Premium               2011 -Group Single Premium
               2011 -Individual Non-Single Premium          2011 -Individual Single Premium
50%


40%


30%


20%


10%


 0%
       Apr    May      Jun        Jul      Aug        Sep      Oct       Nov       Dec         Jan   Feb   Mar
Which company has the lowest skew
           in March?
Which company has the lowest skew
                   in March?
  •         Max Life: It has 2 comparable sales peaks – one in
            December and one in March. The sales push in
            March is lowered by the sales push in December!
25%




20%




15%

                                                                              Max Life – average
                                                                              Industry average
10%




5%




0%
      Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec   Jan   Feb   Mar
This pattern is consistent across years
       Note: the quarterly waves!
25%




20%




15%




10%




5%




0%
      Apr   May   Jun        Jul     Aug           Sep         Oct       Nov        Dec     Jan           Feb         Mar

                   Max – 2006-07   Max – 2007-08         Max – 2008-09    Max – 2009-10   Max – 2010-11         Max – 2011-12
Seasonality measurements need to
           take into account
•    Options:
      –   Rate of annual growth/decline
      –   Regulatory changes
      –   Management changes
      –   All of the above
Seasonality measurements need to
           take into account
•    Options:
      –   Rate of annual growth/decline
      –   Regulatory changes
      –   Management changes
      –   All of the above
•    Answer: All of the above
You can use your company's
           SEASONALITY INDEX for
•   Options:
      –    Performance assessment
      –    Predicting future trends
      –    Planning for temp staff for March operations
      –    Understanding impact of product launches.
      –    Deciding when to launch advertisement campaigns.
      –    All of the above
You can use your company's
           SEASONALITY INDEX for
•   Options:
      –    Performance assessment
      –    Predicting future trends
      –    Planning for temp staff for March operations
      –    Understanding impact of product launches.
      –    Deciding when to launch advertisement campaigns.
      –    All of the above
•   Answer: All of the above
      –    Performance assessment should be relative to the normal seasonal variation.
           So we should set targets by season to achieve annual targets.
      –    Predicting future trends e.g. sales figures for the rest of the year.
      –    Planning for temporary increases or decreases in staff, space etc. to manage
           predictable peaks e.g. additional staff for March operations support
      –    To eliminate it for analysis of other effects, e.g. advertisements, product
           launches.
      –    Make operational decisions for seasons – pricing, advertisements etc.
Seasonal insurance sales
             25%

             20%
                                                                                                      2006-07
                                                                                                      2007-08
                                                                                                      2008-09
             15%                                                                                      2009-10
                                                                                                      2010-11
% of sales




                                                                                                      2011-12
             10%                                                                                      Industry



             5%

             0%
                                                                                                                 Thank You
                   Jan   Feb   Mar   Apr   May   Jun       Jul   Aug       Sep    Oct    Nov    Dec
                                                  Months




                                                                                                                    Presented by:
                                                                                                                     IBEXI Met
                                                                                                                     Department
                                                                                                                 ( IBEXI Analytics
                                                                                                                    and BI team)



                                                                        © IBEXI Solutions Pvt. Ltd.
                                                                                                  .

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The seasons of Indian life insurance

  • 1. The seasons of Indian life insurance • How well do you know your seasons? • Can you use that knowledge to run the business operations more profitably? Presented by: IBEXI Met Department ( IBEXI Analytics and BI team)
  • 2. Sure, it pours in March every year. But do you know: •Which month always has second- highest sales? •Is there a greater skew for group vs. individuals? •For single premium or regular premiums? •Has the skew changed over the last few years? •Are there outlier companies? What do they tell us? • Does your guess/ intuition •How can a company use its match the data? seasonality index? • Check it out. Source: www.irda.gov.in; Note: Sales = Annualised First Year Premiums
  • 3. Which month always has the second-highest sales? • Options: Feb; Jan; Dec; Nov.; None of the above.
  • 4. Which month always has the second-highest sales? • Options: Feb; Jan; Dec; Nov.; None of the above. • Answer: None of the above. – It varies from year to year! In 2006-07, it was November. In '07-08 and '08-09, it was January. In '09-10, it was December. In '10-11, it was August! And it was back to January in '11-12. 25% 20% 15% 10% 5% 0% Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12
  • 5. The March sales skew: is it usually sharper for LIC or for private insurers? • Options: LIC; Private Insurers
  • 6. The March sales skew: is it usually sharper for LIC or for private insurers? • Options: LIC; Private Insurers • Answer: Usually, and on the average, private insurers have a sharper March skew than LIC. 30% 25% 20% 15% Private LIC 10% 5% 0% 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 Average
  • 7. In Indian life insurance, which skews more: individual or group? • Options: Individual; Group; Similar
  • 8. In Indian life insurance, which skews more: individual or group? • Options: Individual; Group; Similar • Answer: On an average, group business especially historically. More on it later! 30% 25% 20% Group 15% Individual 10% 5% 0% Average March sales
  • 9. Are the skews the same for regular or single premium? • Options: Single premium; Non-single; They are similar
  • 10. Are the skews the same for regular or single premium? • Options: Single premium; Non-single; They are similar • Answer: On an average, across years, the group business has a greater skew for regular business; but the individual business is equally skewed for both! 35% 30% 25% 20% 15% 10% 5% Group Non-Single Premium Group Single Premium 0% Individual Non-Single Premium Average Individual Single Premium
  • 11. Has the skew changed over time from 2006 to 2011? • Options: Yes, it has become less; No, it has not changed.
  • 12. Has the skew changed over time from 2006 to 2011? • Options: Yes, it has become less; No, it has not changed. • Answer: Across years -'10-11 and '11-12 - the group business skew has reduced greatly; but the individual business has changed only a little. 45% 40% 35% 30% 25% Group 20% Individual 15% 10% 5% 0% 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12
  • 13. Which company has the highest skew in March?
  • 14. Which company has the highest skew in March? • IndiaFirst, consistently, with 63% and 43% of its new business in March in '11-12 and '10-11. – Note: The nearest highest skew is just 29%. 70% 60% 50% 40% IndiaFirst – 2010 30% IndiaFirst – 2011 Industry average 20% 10% 0% Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar
  • 15. Note that the huge March skew of India First is driven by Group Regular business in each year. 100% 90% 80% 70% 2010 - Group Non-Single Premium 2010 - Group Single Premium 2010 - Individual Non-Single Premium 2010 - Individual Single Premium 60% 2011 -Group Non-Single Premium 2011 -Group Single Premium 2011 -Individual Non-Single Premium 2011 -Individual Single Premium 50% 40% 30% 20% 10% 0% Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar
  • 16. Which company has the lowest skew in March?
  • 17. Which company has the lowest skew in March? • Max Life: It has 2 comparable sales peaks – one in December and one in March. The sales push in March is lowered by the sales push in December! 25% 20% 15% Max Life – average Industry average 10% 5% 0% Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar
  • 18. This pattern is consistent across years Note: the quarterly waves! 25% 20% 15% 10% 5% 0% Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Max – 2006-07 Max – 2007-08 Max – 2008-09 Max – 2009-10 Max – 2010-11 Max – 2011-12
  • 19. Seasonality measurements need to take into account • Options: – Rate of annual growth/decline – Regulatory changes – Management changes – All of the above
  • 20. Seasonality measurements need to take into account • Options: – Rate of annual growth/decline – Regulatory changes – Management changes – All of the above • Answer: All of the above
  • 21. You can use your company's SEASONALITY INDEX for • Options: – Performance assessment – Predicting future trends – Planning for temp staff for March operations – Understanding impact of product launches. – Deciding when to launch advertisement campaigns. – All of the above
  • 22. You can use your company's SEASONALITY INDEX for • Options: – Performance assessment – Predicting future trends – Planning for temp staff for March operations – Understanding impact of product launches. – Deciding when to launch advertisement campaigns. – All of the above • Answer: All of the above – Performance assessment should be relative to the normal seasonal variation. So we should set targets by season to achieve annual targets. – Predicting future trends e.g. sales figures for the rest of the year. – Planning for temporary increases or decreases in staff, space etc. to manage predictable peaks e.g. additional staff for March operations support – To eliminate it for analysis of other effects, e.g. advertisements, product launches. – Make operational decisions for seasons – pricing, advertisements etc.
  • 23. Seasonal insurance sales 25% 20% 2006-07 2007-08 2008-09 15% 2009-10 2010-11 % of sales 2011-12 10% Industry 5% 0% Thank You Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Months Presented by: IBEXI Met Department ( IBEXI Analytics and BI team) © IBEXI Solutions Pvt. Ltd. .