SlideShare a Scribd company logo
1 of 23
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.
                                                                                                  .

More Related Content

Similar to The seasons of Indian life insurance

SMB Business Outlook and Spending Plans
SMB Business Outlook and Spending PlansSMB Business Outlook and Spending Plans
SMB Business Outlook and Spending PlansBredin, Inc.
 
Segmentation Markets And Evaluation PowerPoint Presentation Slides
Segmentation Markets And Evaluation PowerPoint Presentation SlidesSegmentation Markets And Evaluation PowerPoint Presentation Slides
Segmentation Markets And Evaluation PowerPoint Presentation SlidesSlideTeam
 
Segmentation Markets And Evaluation PowerPoint Presentation Slides
Segmentation Markets And Evaluation PowerPoint Presentation Slides Segmentation Markets And Evaluation PowerPoint Presentation Slides
Segmentation Markets And Evaluation PowerPoint Presentation Slides SlideTeam
 
[Ncc 2019] First round Case study
[Ncc 2019] First round Case study[Ncc 2019] First round Case study
[Ncc 2019] First round Case studyHanh Ho
 
Rival IQ (2021):instagram stories benchmark report
Rival IQ (2021):instagram stories benchmark reportRival IQ (2021):instagram stories benchmark report
Rival IQ (2021):instagram stories benchmark reportMichele Pescina
 
Financial Management PowerPoint Presentation Slides
Financial Management PowerPoint Presentation SlidesFinancial Management PowerPoint Presentation Slides
Financial Management PowerPoint Presentation SlidesSlideTeam
 
How to use Metrics to Woo Investors?
How to use Metrics to Woo Investors?How to use Metrics to Woo Investors?
How to use Metrics to Woo Investors?Sujayath Ali
 
How local businesses can use public information to understand customers locally
How local businesses can use public information to understand customers locallyHow local businesses can use public information to understand customers locally
How local businesses can use public information to understand customers locally.id - the population experts
 
Pitchbook - Blank.pptx
Pitchbook - Blank.pptxPitchbook - Blank.pptx
Pitchbook - Blank.pptxLawer Emmanuel
 
BRICS PMS Performance Update - 31 January 2011
BRICS PMS Performance Update - 31 January 2011BRICS PMS Performance Update - 31 January 2011
BRICS PMS Performance Update - 31 January 2011vivekmavani
 
"Pricing: Freemium to Premium to Upfront payment" at SaaS North 2016
"Pricing: Freemium to Premium to Upfront payment" at SaaS North 2016"Pricing: Freemium to Premium to Upfront payment" at SaaS North 2016
"Pricing: Freemium to Premium to Upfront payment" at SaaS North 2016L-SPARK
 
Financial Management Powerpoint Presentation Slides
Financial Management Powerpoint Presentation SlidesFinancial Management Powerpoint Presentation Slides
Financial Management Powerpoint Presentation SlidesSlideTeam
 
Angular Ventures: Coronavirus Impact Survey
Angular Ventures: Coronavirus Impact SurveyAngular Ventures: Coronavirus Impact Survey
Angular Ventures: Coronavirus Impact SurveyGil Dibner
 
White Paper - Selling in the New Normal: For Organizations with Complex Sales...
White Paper - Selling in the New Normal: For Organizations with Complex Sales...White Paper - Selling in the New Normal: For Organizations with Complex Sales...
White Paper - Selling in the New Normal: For Organizations with Complex Sales...Selling to Zebras, LLC
 
Joe Azelby keynote address
Joe Azelby keynote addressJoe Azelby keynote address
Joe Azelby keynote addressPrivcap
 
Project 9 presentation . Research Showcase. June 2017
Project 9 presentation . Research Showcase. June 2017Project 9 presentation . Research Showcase. June 2017
Project 9 presentation . Research Showcase. June 2017enterpriseresearchcentre
 
40 Years is a long time for a rabbit not to appear by Steven Nathan
40 Years is a long time for a rabbit not to appear by Steven Nathan40 Years is a long time for a rabbit not to appear by Steven Nathan
40 Years is a long time for a rabbit not to appear by Steven Nathan10X Investments
 
200705 MapWorld - PC Industry Update
200705 MapWorld - PC Industry Update200705 MapWorld - PC Industry Update
200705 MapWorld - PC Industry UpdateSteven Callahan
 

Similar to The seasons of Indian life insurance (20)

SMB Business Outlook and Spending Plans
SMB Business Outlook and Spending PlansSMB Business Outlook and Spending Plans
SMB Business Outlook and Spending Plans
 
S&OP in Service
S&OP in ServiceS&OP in Service
S&OP in Service
 
S&OP in Service
S&OP in ServiceS&OP in Service
S&OP in Service
 
Segmentation Markets And Evaluation PowerPoint Presentation Slides
Segmentation Markets And Evaluation PowerPoint Presentation SlidesSegmentation Markets And Evaluation PowerPoint Presentation Slides
Segmentation Markets And Evaluation PowerPoint Presentation Slides
 
Segmentation Markets And Evaluation PowerPoint Presentation Slides
Segmentation Markets And Evaluation PowerPoint Presentation Slides Segmentation Markets And Evaluation PowerPoint Presentation Slides
Segmentation Markets And Evaluation PowerPoint Presentation Slides
 
[Ncc 2019] First round Case study
[Ncc 2019] First round Case study[Ncc 2019] First round Case study
[Ncc 2019] First round Case study
 
Rival IQ (2021):instagram stories benchmark report
Rival IQ (2021):instagram stories benchmark reportRival IQ (2021):instagram stories benchmark report
Rival IQ (2021):instagram stories benchmark report
 
Financial Management PowerPoint Presentation Slides
Financial Management PowerPoint Presentation SlidesFinancial Management PowerPoint Presentation Slides
Financial Management PowerPoint Presentation Slides
 
How to use Metrics to Woo Investors?
How to use Metrics to Woo Investors?How to use Metrics to Woo Investors?
How to use Metrics to Woo Investors?
 
How local businesses can use public information to understand customers locally
How local businesses can use public information to understand customers locallyHow local businesses can use public information to understand customers locally
How local businesses can use public information to understand customers locally
 
Pitchbook - Blank.pptx
Pitchbook - Blank.pptxPitchbook - Blank.pptx
Pitchbook - Blank.pptx
 
BRICS PMS Performance Update - 31 January 2011
BRICS PMS Performance Update - 31 January 2011BRICS PMS Performance Update - 31 January 2011
BRICS PMS Performance Update - 31 January 2011
 
"Pricing: Freemium to Premium to Upfront payment" at SaaS North 2016
"Pricing: Freemium to Premium to Upfront payment" at SaaS North 2016"Pricing: Freemium to Premium to Upfront payment" at SaaS North 2016
"Pricing: Freemium to Premium to Upfront payment" at SaaS North 2016
 
Financial Management Powerpoint Presentation Slides
Financial Management Powerpoint Presentation SlidesFinancial Management Powerpoint Presentation Slides
Financial Management Powerpoint Presentation Slides
 
Angular Ventures: Coronavirus Impact Survey
Angular Ventures: Coronavirus Impact SurveyAngular Ventures: Coronavirus Impact Survey
Angular Ventures: Coronavirus Impact Survey
 
White Paper - Selling in the New Normal: For Organizations with Complex Sales...
White Paper - Selling in the New Normal: For Organizations with Complex Sales...White Paper - Selling in the New Normal: For Organizations with Complex Sales...
White Paper - Selling in the New Normal: For Organizations with Complex Sales...
 
Joe Azelby keynote address
Joe Azelby keynote addressJoe Azelby keynote address
Joe Azelby keynote address
 
Project 9 presentation . Research Showcase. June 2017
Project 9 presentation . Research Showcase. June 2017Project 9 presentation . Research Showcase. June 2017
Project 9 presentation . Research Showcase. June 2017
 
40 Years is a long time for a rabbit not to appear by Steven Nathan
40 Years is a long time for a rabbit not to appear by Steven Nathan40 Years is a long time for a rabbit not to appear by Steven Nathan
40 Years is a long time for a rabbit not to appear by Steven Nathan
 
200705 MapWorld - PC Industry Update
200705 MapWorld - PC Industry Update200705 MapWorld - PC Industry Update
200705 MapWorld - PC Industry Update
 

Recently uploaded

Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfrichard876048
 
Memorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQMMemorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQMVoces Mineras
 
8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCRashishs7044
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationAnamaria Contreras
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCRashishs7044
 
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607dollysharma2066
 
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607dollysharma2066
 
Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Riya Pathan
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Servicecallgirls2057
 
Kenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith PereraKenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith Pereraictsugar
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessSeta Wicaksana
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailAriel592675
 
Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Kirill Klimov
 
India Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample ReportIndia Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample ReportMintel Group
 
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdfNewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdfKhaled Al Awadi
 
Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Anamaria Contreras
 

Recently uploaded (20)

Innovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdfInnovation Conference 5th March 2024.pdf
Innovation Conference 5th March 2024.pdf
 
Memorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQMMemorándum de Entendimiento (MoU) entre Codelco y SQM
Memorándum de Entendimiento (MoU) entre Codelco y SQM
 
8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR
 
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCREnjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement Presentation
 
Corporate Profile 47Billion Information Technology
Corporate Profile 47Billion Information TechnologyCorporate Profile 47Billion Information Technology
Corporate Profile 47Billion Information Technology
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
 
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607FULL ENJOY Call girls in Paharganj Delhi | 8377087607
FULL ENJOY Call girls in Paharganj Delhi | 8377087607
 
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
(Best) ENJOY Call Girls in Faridabad Ex | 8377087607
 
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
 
Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737Independent Call Girls Andheri Nightlaila 9967584737
Independent Call Girls Andheri Nightlaila 9967584737
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
 
Kenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith PereraKenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith Perera
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful Business
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detail
 
Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024
 
India Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample ReportIndia Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample Report
 
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdfNewBase  19 April  2024  Energy News issue - 1717 by Khaled Al Awadi.pdf
NewBase 19 April 2024 Energy News issue - 1717 by Khaled Al Awadi.pdf
 
Call Us ➥9319373153▻Call Girls In North Goa
Call Us ➥9319373153▻Call Girls In North GoaCall Us ➥9319373153▻Call Girls In North Goa
Call Us ➥9319373153▻Call Girls In North Goa
 
Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.
 

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. .