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IMPROVING RETAIL STRATEGIES THROUGH CUSTOMER SEGMENTATION TO FIND TARGET AUDIENCE

AUTHORS:
A.V V Satyanarayana , M. Santhosh kumar , R. Gowtham , V. Tanishq
Mentor
Dr. Venkateshwarlu Sunkari
Affiliation
dept of Artificial Intelligence &Data Science Koneru Lakshmaiah Education Foundation
DOI: 10.55041/ijsmt.v2i2.043
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract
In today's rapidly changing businesses industry, companies need to understand how technical market segmentation can give them a competitive advantage to target the right customer. To attain this competitive advantage, companies can employ market segmentation as a strategic approach, dividing the broader market into smaller, more homogeneous consumer groups who share similar characteristics. These characteristics encompass demographics like age, gender, income, education, and marital status, geographic location like town, city, state, or country, and behavior. The practice of market segmentation is vital for businesses as it enables them to focus their marketing efforts and product development more precisely. This paper explores the significance of technical market segmentation in aligning product development with market demands. Through a comprehensive review and analysis of a case study, this paper aims to provide valuable insights into effective segmentation strategies and their practical implementation for businesses.
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PUBLICATION DETAILS
Review Type:
0
License:
CC BY-NC 4.0
Volume/Issue:
Volume Volume 10, Issue 01
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Feb 18 2026
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Tanishq, A. V. S. ,. M. S. K. ,. R. G. ,. V. (2026). Improving Retail Strategies Through Customer Segmentation to Find Target Audience. International Journal of Science, Strategic Management and Technology, Volume 10(01). https://doi.org/10.55041/ijsmt.v2i2.043

Tanishq, A.V. "Improving Retail Strategies Through Customer Segmentation to Find Target Audience." International Journal of Science, Strategic Management and Technology, vol. Volume 10, no. 01, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i2.043.

Tanishq, A.V. "Improving Retail Strategies Through Customer Segmentation to Find Target Audience." International Journal of Science, Strategic Management and Technology Volume 10, no. 01 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i2.043.

References

  1. Manpreet Kaur, Shivani Kang.,(2016) --Market Basket Analysis: Identify the changing trends of market data using association rule mining..,pp(78- 85)

  2. Roberto Mora Cortez, Ann Højbjerg Clarke, Per Vagn Freytag..,(2021) B2B market segmentation: Asystematic review and research agenda..,vol- .,pp(415-428)

  3. Iman Ahmadi , Nadia Abou Nabout , Bernd Skiera

  4. , Elham Maleki , Johannes Fladenhofer..,(2023)-- OverwhelmingTargetingOptions:Selecting Audience Segments for Online Advertising..,pp(1- 14)

  5. SIEW-CHINCHONG 1 , WEI-CHUEN YAU 1 , THIAN-SONG ONG 2 ,SIEW-CHIN CHONG

  6. 2..,(2021)-- Integrated Churn Prediction and Customer Segmentation Framework for Telco Busines..,pp(3-19)

  7. HONG-HAO ZHAO 1 , XI-CHUN LUO 2 , RUI MA3 , AND XI .,(2021)--An Extended

  8. Regularized K-Means Clustering Approach for High-Dimensional..,pp(2-8)

  9. Nikhil Patankar a ,1, Soham Dixit a , Akshay Bhamare a , Ashutosh Darpel a and Ritik Raina..,(2021)--Customer Segmentation Using Machine Learning..,pp(239-244)

  10. CHRISTOPH .,(2022) How  Technical

  11. Market Segmentation Can Help Build Products Your Customers Really Need..,pp(17-19)

  12. Manpreet Kaur, Shivani Kang., (2016) --Market Basket Analysis: Identify the changing trends of market data using association rule mining..,pp(78- 85)

  13. Roberto Mora Cortez, Ann Højbjerg Clarke, Per Vagn , (2021) --B2B market segmentation: A systematic review and research agenda..,vol- 126..,pp(415-428)

  14. Iman Ahmadi, Nadia Abou Nabout, Bernd Skiera, Elham Maleki, Johannes Fladenhofer., (2023) -- Overwhelming Targeting Options: Selecting Audience Segments for Online Advertising..,pp(1- 14)

Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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