Segmentation of clients to identify increased buying interest of security solutions in the pension area using data analysis

Offering products to potential customers is one of the main tasks in sales. Without careful customer selection, the buying interest is low, as customers usually do not like to get contacted if the offer is not suitable for them.

Marino, Lisa & Stucki, Nathalie, 2020

Art der Arbeit Bachelor Thesis
Auftraggebende Hypothekarbank Lenzburg AG
Betreuende Dozierende Urban, Jörg
Keywords Pension Provision, Data Analysis, Customer Characteristics
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The objective of the paper is to analyze the data of existing customers, who bought security solutions in the pension area, to find similarities and purchasing behaviors. The further goal is to provide a decision tree that will tell the customer consultants which clients to target and which product to offer.
The method used to reach the objective is to analyze all the factors influencing the decision process when buying security solutions in the pension area. The initiator provided the necessary data that is analyzed with the help of the software “R”. The dataset for testing will be provided in-house and cannot be used outside the bank for confidentiality reasons.
The goal to match potential clients within their characteristics to a specific pension solution could not be met. Due to the discovery, that around 80 % of customers bought the same product, the recommendation from the data would have been to only sell this product. However, suggestions were made on how this goal might be reached in the future. Firstly, it is suggested to extend the data collection by the factors income, household income, household fortune, education, job title, the indication if the job is related to finance and the declaration if the customer has children. Secondly, it is recommended to save the data in an accessible way in which it can be quickly evaluated afterwards. It was discovered that 81 % of the sales are attributed to Product A. The gender distribution of all sales and per product is almost split equally. For singles, a slight difference between male and female clients is visible in buying interest as well as in risk preferences. The evaluation of the age at which the clients signed up for a pension solution yielded a bimodal distribution peaking at the client’s mid-thirties and mid-fifties.
Studiengang: Business Administration International Management (Bachelor)
Vertraulichkeit: vertraulich
Art der Arbeit
Bachelor Thesis
Auftraggebende
Hypothekarbank Lenzburg AG, Lenzburg
Autorinnen und Autoren
Marino, Lisa & Stucki, Nathalie
Betreuende Dozierende
Urban, Jörg
Publikationsjahr
2020
Sprache der Arbeit
Englisch
Vertraulichkeit
vertraulich
Studiengang
Business Administration International Management (Bachelor)
Standort Studiengang
Brugg-Windisch
Keywords
Pension Provision, Data Analysis, Customer Characteristics