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Schubert, Sebastian (2018) Analysis and development of customer segmentation criteria and tools for SMEs. DBA thesis, University of Gloucestershire.
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Text (Final thesis)
DBA_Thesis_Sebastian Schubert_signature_redacted.pdf - Accepted Version Available under License All Rights Reserved. Download (12MB) | Preview |
Abstract
In order to use the limited resources of sales and marketing optimally, and to provide customers with the best services, effective customer segmentation is of prime importance. This thesis deals with methods for analysing and comparing the individual values of customers for SMEs (Small Medium Enterprises), because not all customers bring the same value to the company and not every customer can be treated in the same way. The different segmentation models are judged by different criteria. Which segmentation method allows a company to treat customers in the best possible way based on their value for the company? To answer this question first requires the SME company to determine whether they know the monetary or non-monetary value of their customers. The researcher examined if the size of the company influences the choice of segmentation criteria and method. To determine this, it is necessary to address which companies are SMEs. The main methods are reviewed extensively likewise available software models were evaluated and included in the research, and the advantages and disadvantages are compared. For this research topic, a mixed-method design was chosen. The researcher carried out one-to-one semi-structured expert interviews and, parallel to the qualitative research, quantitative data from a technical retailing company’s database was analysed. The company has data from more than 10,000 customers in the business warehouse and CRM system. The results of this research provide new thoughts to reflect on whether the segmentation methods of the existing literature are useful for SMEs in the B2B business and provide the basis for further research and development in this field. The new segmentation method, identified and confirmed through follow-up interviews in this research, will be of immense value to practitioners. Especially for sales and marketing managers working in this field.
| Item Type: | Thesis (DBA) | |||||||||
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| Uncontrolled Keywords: | Small and Medium Enterprises (SME); ABC analysis; customer value; customer segmentation; scoring method | |||||||||
| Subjects: | H Social Sciences > HF Commerce H Social Sciences > HF Commerce > HF5001 Business > HF5410 Marketing |
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| Divisions: | Schools and Research Institutes > School of Business, Computing and Social Sciences | |||||||||
| Depositing User: | Susan Turner | |||||||||
| Date Deposited: | 15 Jun 2018 10:27 | |||||||||
| Last Modified: | 01 Aug 2023 14:53 | |||||||||
| URI: | https://eprints.glos.ac.uk/id/eprint/5714 |
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