Segmentation analysis: Grouping customers by characteristics
Posted: Thu Feb 20, 2025 4:26 am
Segmentation analysis is a method for grouping customers by characteristics .
It is the same as CTB analysis in that it groups customers.
However, while CTB classifies by category, taste, and brand, segmentation analysis classifies by axes such as age, gender, occupation, and address.
It allows you to understand needs from a different perspective than CTB analysis, making it easier to select targets
and discover new needs.
Cluster analysis: Grouping customers with similar characteristics
Cluster analysis is a method for grouping customers with similar characteristics .
CTB analysis and segmentation analysis are analytical methods that group customers based on specific items, but cluster analysis does not specify items and groups customers based only on similarities.
If the amount of data is limited, CTB analysis and segmentation belarus mobile database to look at each individual customer and group them.
However, it cannot handle large amounts of data efficiently.
When there is a large amount of data, cluster analysis can be used to identify trends in customer needs,
making it easier to develop strategies.
Behavioral trend analysis: Understanding customer behavior patterns over time
Behavioral trend analysis is a method to understand customer behavior patterns over time .
For example, you may have confirmed that light meals that can be eaten easily during the day at work tend to sell better on weekdays, while boxed lunches that can be eaten at a leisurely pace tend to sell better on weekends and holidays.
In that case, you can increase the stock of light meals on weekdays and boxed lunches on weekends and holidays to improve cost-effectiveness.
Analyze past purchase data to see if there are any changes in customer behavior over time.
At the same time, launching campaigns that match behavioral trends will help increase sales.
Key points for successful CRM analysis
CRM analysis points
Here are some tips to make your CRM analysis a success.
Setting clear analysis objectives
Adopting a multifaceted analytical approach
Choosing and Using the Right CRM Tool
Setting clear analysis objectives
CRM analysis requires a clear analysis objective.
For example, if you have multiple businesses and one of them is successful, the other one may not be making the sales you expected.
In the above case, it is important to set goals and perform CRM analysis with an awareness of the business area in which you want to increase sales.
Analyzing your entire business without a clear goal will result in failure.
In order to find the right approach, set clear analysis goals before conducting your CRM analysis.
It is the same as CTB analysis in that it groups customers.
However, while CTB classifies by category, taste, and brand, segmentation analysis classifies by axes such as age, gender, occupation, and address.
It allows you to understand needs from a different perspective than CTB analysis, making it easier to select targets
and discover new needs.
Cluster analysis: Grouping customers with similar characteristics
Cluster analysis is a method for grouping customers with similar characteristics .
CTB analysis and segmentation analysis are analytical methods that group customers based on specific items, but cluster analysis does not specify items and groups customers based only on similarities.
If the amount of data is limited, CTB analysis and segmentation belarus mobile database to look at each individual customer and group them.
However, it cannot handle large amounts of data efficiently.
When there is a large amount of data, cluster analysis can be used to identify trends in customer needs,
making it easier to develop strategies.
Behavioral trend analysis: Understanding customer behavior patterns over time
Behavioral trend analysis is a method to understand customer behavior patterns over time .
For example, you may have confirmed that light meals that can be eaten easily during the day at work tend to sell better on weekdays, while boxed lunches that can be eaten at a leisurely pace tend to sell better on weekends and holidays.
In that case, you can increase the stock of light meals on weekdays and boxed lunches on weekends and holidays to improve cost-effectiveness.
Analyze past purchase data to see if there are any changes in customer behavior over time.
At the same time, launching campaigns that match behavioral trends will help increase sales.
Key points for successful CRM analysis
CRM analysis points
Here are some tips to make your CRM analysis a success.
Setting clear analysis objectives
Adopting a multifaceted analytical approach
Choosing and Using the Right CRM Tool
Setting clear analysis objectives
CRM analysis requires a clear analysis objective.
For example, if you have multiple businesses and one of them is successful, the other one may not be making the sales you expected.
In the above case, it is important to set goals and perform CRM analysis with an awareness of the business area in which you want to increase sales.
Analyzing your entire business without a clear goal will result in failure.
In order to find the right approach, set clear analysis goals before conducting your CRM analysis.