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  Published Paper Details:

  Paper Title

MODELS FOR SEGMENTING LIFE INSURANCE CUSTOMERS: AN ANALYSIS

  Authors

  DR. OM PRAKASH MEHTA

  Keywords

Market, segmentation, model, life insurance.

  Abstract


Customers' expectations, needs and desires have changed substantially over the years. A single product or service offered by companies can no longer satisfy their wide array of needs. 'Customization' of products and services is the buzzword of today's businesses which has completely replaced the older concept of 'standardization'. However, it is also impossible to produce customized and distinctly unique products for each and every customer which gives birth to the need of market segmentation. Life insurance being highly intangible in nature is much more complicated and difficult to be perceived than the physical or tangible products. Life insurance has a vast potential market all across the world and our nation. But, the changing socio- cultural dynamics of the population has posed great challenge in front of the life insurance service providers in identifying the needs properly and incorporating the solutions for the same in their products. The present study is a modest attempt to study some selected existing models of market segmentation related to life insurance and propose an easily perceivable and implementable model.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2201552

  Paper ID - 215447

  Page Number(s) - e907-e914

  Pubished in - Volume 10 | Issue 1 | January 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  DR. OM PRAKASH MEHTA,   "MODELS FOR SEGMENTING LIFE INSURANCE CUSTOMERS: AN ANALYSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 1, pp.e907-e914, January 2022, Available at :http://www.ijcrt.org/papers/IJCRT2201552.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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