Definition of core sets (Pareto)
Posted: Sat May 24, 2025 6:26 am
This technique is based on the Pareto principle, canada phone number list which states that 80% of the effects come from 20% of the causes. It is useful for identifying the set of elements that contribute most to a specific outcome. It allows you to prioritize efforts and optimize the allocation of resources by dedicating more of them to those with the greatest impact.
Results : Helps identify the set of elements that generate the greatest impact on a specific metric. This allows you to focus efforts on the most important elements and optimize resource allocation.
Dimensions and metrics : Use the metrics you want to analyze (traffic, sales, conversions, etc.) and group the data by the dimension you want to analyze (web pages, products, marketing campaigns, etc.). Sort the elements based on their contribution to the metric, and identify the elements that generate the most impact.
Example : Identify the 20% of products that generate 80% of sales to focus marketing and sales efforts on these products. We can also identify the 20% of customers that generate 80% of revenue to develop specific loyalty strategies for these customers.
18. Analysis of Segment Representatives
This technique is useful for analyzing a segment in detail, starting with a single element. A representative element of a specific segment is selected (selected through various means) and only that element is analyzed, assuming that what we detect is likely to apply to the entire segment. It allows us to analyze a typical segment element in detail and understand the characteristics and behavior of the segment as a whole. It also requires subsequent validation to ensure that what we find applies to the rest of the segment.
Results : Helps understand the characteristics and behavior of a specific segment through the analysis of a representative element. It provides a deeper understanding of the segment and allows for the development of more effective strategies.
Dimensions and metrics : We use the metrics we want to analyze (traffic, sales, conversions, etc.) and group the data by the dimension that defines the segment (customer segments, product categories, etc.). We select an element that performs close to the segment average and analyze it in detail.
Example : Select a representative customer from the "high-value customer" segment to analyze their purchasing behavior, preferences, and motivations. This can help you better understand this segment's needs and develop more effective marketing and sales strategies.
Results : Helps identify the set of elements that generate the greatest impact on a specific metric. This allows you to focus efforts on the most important elements and optimize resource allocation.
Dimensions and metrics : Use the metrics you want to analyze (traffic, sales, conversions, etc.) and group the data by the dimension you want to analyze (web pages, products, marketing campaigns, etc.). Sort the elements based on their contribution to the metric, and identify the elements that generate the most impact.
Example : Identify the 20% of products that generate 80% of sales to focus marketing and sales efforts on these products. We can also identify the 20% of customers that generate 80% of revenue to develop specific loyalty strategies for these customers.
18. Analysis of Segment Representatives
This technique is useful for analyzing a segment in detail, starting with a single element. A representative element of a specific segment is selected (selected through various means) and only that element is analyzed, assuming that what we detect is likely to apply to the entire segment. It allows us to analyze a typical segment element in detail and understand the characteristics and behavior of the segment as a whole. It also requires subsequent validation to ensure that what we find applies to the rest of the segment.
Results : Helps understand the characteristics and behavior of a specific segment through the analysis of a representative element. It provides a deeper understanding of the segment and allows for the development of more effective strategies.
Dimensions and metrics : We use the metrics we want to analyze (traffic, sales, conversions, etc.) and group the data by the dimension that defines the segment (customer segments, product categories, etc.). We select an element that performs close to the segment average and analyze it in detail.
Example : Select a representative customer from the "high-value customer" segment to analyze their purchasing behavior, preferences, and motivations. This can help you better understand this segment's needs and develop more effective marketing and sales strategies.