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Marketing Cost Optimization
Customer Client Base
Semantic Analysis

Cluster analysis

Clustering aims at the detection of similar objects that differ from the others in terms of their characteristics and group a set of similar objects into homogeneous groups (clusters).
In business, cluster analysis is used to segment customers, audiences, products, and markets. It’s also used to identify psychotypes, compress images, find anomalies, group objects in directories, on maps and more.
Segmentation can be based on geographic, demographic, psychographic, behavioral, and other characteristics. The key to effective segmentation is to divide customers into groups based on their perceived value to the business.
The primary objectives of cluster analysis are:
To identify similarities (or differences) between objects
To compress the data if the initial sample is too large
To identify atypical objects that cannot be attributed to any of the clusters.

In qualitative dividing, the variation within groups should be minimal and the variation between groups should be maximal. The allocated groups should be stable and reproducible.

One of the popular clustering methods is RFM, which can divide customers into groups based on the time of their last visit, frequency, and number of purchases.

RFM: BIG DATA DRIVEN CUSTOMER BEHAVIOR SEGMENTATION TECHNIQUE
RECENCY
Freshness of the customer activity, be it purchases or visits
FREQUENCY
Of customer transaction or visits
MONETARY
The intention of customer to spend or purchasing power of customer
Importance of the method:
RESEARCHING OF LIFE-TIME VALUE
GROWING OF EFFICIENCY OF MARKETING CAMPSIGNS
PREDICTION OF CUSTOMER CHURN RATE
FASTEST ROI
R
F
M

Inputs: we divide customers into several groups according to the distribution of values for recency, frequency, and monetary value.

The chart is interactive, so you can set the R, F, M values to evaluate the new clusters.

A very important step is to manage customers of different segments and within each.

Segmentation of the customer base by LTV (lifetime value) helps to determine the value of each segment and the priority for work with them. In addition, different types of clients require different approaches to maximise value from both high- and low-margin clients.

For example, customers who buy only once may become regular customers in the future, but a separate tactic is required to attract them to make repeat purchases.

Proper customer segmentation can provide a company with many benefits:
INCREASED EFFICIENCY OF MARKETING CAMPAIGNS
It allows you to create separate marketing messages for each segment.
IMPROVED OFFERS
Learning about your customers and their expectations allows you to optimize your offers and increase customer’s satisfaction.
CAPACITY EXPANSION
Segmentation of existing and potential customers enables the development of new products and services relevant to their target audiences.
IMPROVED CUSTOMER RETENTION RATES
Identifying customers who are generating the most revenue allows you to develop more effective customer retention strategies.
OPTIMIZED PRICES
Determining the social and financial situation of your customers allows you to price your products in a way that is acceptable to them.
INCREASED REVENUE
By optimizing expenditure on less profitable segments and focusing on the most profitable ones, you can increase profitability and reduce selling costs.

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