Regroupings and crossings
Posted: Sat May 24, 2025 6:27 am
We cross-reference different dimensions to gain a canada phone number list more complete view, such as analyzing user behavior by demographic segment and acquisition channel, or analyzing marketing campaign performance by customer segment and campaign type. This allows us to identify relationships between different variables and gain a deeper understanding of the data. What works in some cases may not work in others. With this knowledge, we can rethink the manual clusters we've created, complicating them to make their results more consistent.
Results : It allows you to identify patterns and trends that are not apparent when analyzing dimensions in isolation. It helps you gain a more complete view of the data and detect relationships that would otherwise go unnoticed.
Dimensions and metrics : We use the metrics we want to analyze (traffic, sales, conversions, etc.) and cross-reference the data with the dimensions we want to analyze (customer segments, marketing channels, product categories, etc.). We analyze the interactions between the different dimensions, and we look for patterns and trends.
Example : Analyze user behavior by demographic segment and acquisition channel to identify which channels are most effective for each segment and customize marketing campaigns accordingly. We can also analyze marketing campaign performance by customer segment and campaign type to optimize marketing strategy and maximize ROI.
Other descriptive analyses of Key Segments
Analysis of the distribution of metrics in different key segments.
Analysis of the contribution of different key segments to overall metrics.
Analysis of the evolution of key segments over time.
Comparative Analysis of Key Segments
22. Gap analysis
This technique is useful for comparing the performance of different key segments and identifying which ones cause performance gaps. It allows you to identify segments that are underperforming (or overperforming) and thus begin the journey toward understanding the causes of these differences.
Results : Helps identify segments that need improvement and understand the factors contributing to performance gaps. It enables the development of strategies to narrow the gaps and improve overall business performance.
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 key segments (customer segments, product categories, etc.). We compare the metrics across segments, and gaps in performance are identified.
Example : Compare the conversion rates of different customer segments to identify any segments with a significantly lower conversion rate than average. This can help you identify segments that need improvement and develop strategies to increase their conversion rates.
Results : It allows you to identify patterns and trends that are not apparent when analyzing dimensions in isolation. It helps you gain a more complete view of the data and detect relationships that would otherwise go unnoticed.
Dimensions and metrics : We use the metrics we want to analyze (traffic, sales, conversions, etc.) and cross-reference the data with the dimensions we want to analyze (customer segments, marketing channels, product categories, etc.). We analyze the interactions between the different dimensions, and we look for patterns and trends.
Example : Analyze user behavior by demographic segment and acquisition channel to identify which channels are most effective for each segment and customize marketing campaigns accordingly. We can also analyze marketing campaign performance by customer segment and campaign type to optimize marketing strategy and maximize ROI.
Other descriptive analyses of Key Segments
Analysis of the distribution of metrics in different key segments.
Analysis of the contribution of different key segments to overall metrics.
Analysis of the evolution of key segments over time.
Comparative Analysis of Key Segments
22. Gap analysis
This technique is useful for comparing the performance of different key segments and identifying which ones cause performance gaps. It allows you to identify segments that are underperforming (or overperforming) and thus begin the journey toward understanding the causes of these differences.
Results : Helps identify segments that need improvement and understand the factors contributing to performance gaps. It enables the development of strategies to narrow the gaps and improve overall business performance.
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 key segments (customer segments, product categories, etc.). We compare the metrics across segments, and gaps in performance are identified.
Example : Compare the conversion rates of different customer segments to identify any segments with a significantly lower conversion rate than average. This can help you identify segments that need improvement and develop strategies to increase their conversion rates.