Customer Segmentation using Machine Learning for a major Thai Retail Customer
The
innovation of technology is not only helping the
traditional retail industry but it may benefit
them to connect with their customers easily; for
instance learning groups of customers or
customers’ behavior due to make changes
and expand into new markets as quickly as
possible.
Nowadays, there are many brands that have been in the market for a long time, the biggest cosmetic direct sales company has been encountering marketing situations in many eras and whenever the era has changed, it means that marketing approaches have changed too. They faced segmentation issues for quite awhile now. They cannot rely on the same pattern of strategy or be unrealistic by making consumption and using gut-feeling to segment a group of customers. If that, the company may be behind the market.
To be back on track, the company needs to focus on customer segmentation which provides insight information into the landscape of the marketing and revealing common characteristics of customers to achieve all the business again.
In the business, the company requires not only to understand target customers but also be able to figure out their background in order to be a part of their choices. Customer segmentation is the practice of dividing a company's customers into groups that reflect similarity among customers in each group through demographics, geographics, psychological, and behavioral. The goal of segmenting customers is to decide how to relate to customers in each segment in order to maximize the value of each customer to the business.
Since the marketer’s goal is usually to maximize the value (revenue and/or profit) from each customer. TIS brings technology to help them by creating customer segmentation systems which is a perfect tool for all marketers who want to define a group of customers in order to understand their needs. No matter what business you have right now, the customer segmentation definitely can help you beat your competitors by creating, launching and promoting the right products to the right customers.
Which AWS Technology did we use to accomplish this & how
Technology & AWS resources used
Nowadays, there are many brands that have been in the market for a long time, the biggest cosmetic direct sales company has been encountering marketing situations in many eras and whenever the era has changed, it means that marketing approaches have changed too. They faced segmentation issues for quite awhile now. They cannot rely on the same pattern of strategy or be unrealistic by making consumption and using gut-feeling to segment a group of customers. If that, the company may be behind the market.
To be back on track, the company needs to focus on customer segmentation which provides insight information into the landscape of the marketing and revealing common characteristics of customers to achieve all the business again.
In the business, the company requires not only to understand target customers but also be able to figure out their background in order to be a part of their choices. Customer segmentation is the practice of dividing a company's customers into groups that reflect similarity among customers in each group through demographics, geographics, psychological, and behavioral. The goal of segmenting customers is to decide how to relate to customers in each segment in order to maximize the value of each customer to the business.
Since the marketer’s goal is usually to maximize the value (revenue and/or profit) from each customer. TIS brings technology to help them by creating customer segmentation systems which is a perfect tool for all marketers who want to define a group of customers in order to understand their needs. No matter what business you have right now, the customer segmentation definitely can help you beat your competitors by creating, launching and promoting the right products to the right customers.
Which AWS Technology did we use to accomplish this & how
Technology & AWS resources used
- TIS started off the engagement with
this customer
by