Market Segmentation through Machine Learning Models IT Assignment Help

Assignment Task

Task
Topic: Market Segmentation through Machine Learning Models
Statement of Purpose
Business organizations are aiming at establishing relations which are profitable with their clients through customer segmentation and design of relevant tools of marketing. This is referred to as Customer Relationship Management (CRM). Customer segmentation enables organizations to understand the differences between customer groups. Additionally, market segmentation facilitates ease making of strategic decisions pertaining to the growth and marketing of the product. There are several opportunities for market segmentation and is determined mainly on the volume of the customer data that is being used (Ahani, 2019). Several methodologies are used in customer segmentation, and they include:

• Geographic
• Demographic
• Behavioral
• Psychological

There are several machine learning methodologies that can be used in customer segmentation. Each machine learning method fits a certain problem. K-means clustering is one of the most common machine learning algorithms used in customer segmentation. Other machine learning algorithms used are DBSCAN, Agglomerative Clustering, and BIRCH. The use of machine learning algorithms is beneficial in several ways. Machine learning algorithms facilitates ease of retraining. This is because the development of customer segmentation is not done and used once. Data keeps on changing while trends are oscillating thus affecting the model that is used (Lin, Holland, Prinz & Hengesbachb, 2021). Machine learning also facilitates a better scaling. The models that are used in production is supporting scalability as a result of cloud computing. Machine learning is also associated with a higher accuracy. Finding the optimal number of clusters for a particular customer data is easy with machine learning methods such as the elbow method.
Research Questions

• The research seeks to provide answers to the following research questions:
• How is the definition of segments done in contemporary organizations?
• Have the techniques of market segmentation been superseded by the focus on insights of the distinct consumer?
• How is the implementation of the various procedures of segmentation carried out?

Literature Review

• Several relevant literatures shall be reviewed, and it includes:
• Cluster analysis in market segmentation
• Classification of clustering
• Clustering algorithms

Research Methods
The study uses quantitative methodology that utilizes applied research methods. After the selection of the best clustering algorithms based on the spending habits of the sampled consumers profiling is carried out for the segments as well as applicable descriptions. This is then packaged as a product that is availed for sale in the market and is replicable and reproducible in any other similar markets (Janardhanan & Muthalagu, 2020). Data that is collected will be based on stratified design which is probabilistically proportional to the population of the US based on age, region, gender as well as Living Standards Measures.

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