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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.
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
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
Seasonality index can be used 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.
Thank You




 © IBEXI Solutions Pvt. Ltd.
                           .

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The seasons of Indian life insurance - a sample

  • 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.
  • 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. 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
  • 8. Seasonality index can be used 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.
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