Dimensions and metrics
Posted: Sat May 24, 2025 6:28 am
We use the metrics we want to analyze (traffic, sales, canada phone number list conversions, etc.) and cross-reference the data with the dimensions we want to analyze (customer segments, marketing channels, product categories, etc.). We analyze correlations between the different variables, and we look for patterns and trends.
Example : Analyze the correlation between advertising spending and sales to understand how advertising investment influences sales volume. We can also analyze the correlation between social media engagement and conversion rate to understand whether social media interaction influences customer trust and purchasing behavior.
24. Top-down Analysis
This technique is useful for analyzing a detected case in detail. It begins with an overview and delves deeper into the analysis, filtering and applying increasingly diverse perspectives until reaching the root cause of the problem or the source of an opportunity. It allows for a deeper understanding of a problem or opportunity and the development of much more effective solutions.
Results : Helps identify the root cause of a problem or the source of an opportunity. It enables the development of more effective solutions by understanding the factors contributing to the problem or opportunity.
Dimensions and metrics : We use the metrics we want to analyze (traffic, sales, conversions, etc.) and analyze the data in a top-down manner, starting with an overview and drilling down to the level of detail needed to understand the problem or opportunity.
Example : Analyze a sales decline by starting with an overview of total sales, then analyzing sales by product category, then analyzing sales by individual product, and finally analyzing the behavior of customers who have stopped purchasing a specific product. This can help identify the root cause of the sales decline and develop strategies to reverse the trend.
Other comparative analyses of Key Segments
Analysis of the evolution of gaps between segments over time.
Comparison of the performance of key segments with benchmarks or with the competition.
Analysis of the influence of external events on the performance of key segments.
Example : Analyze the correlation between advertising spending and sales to understand how advertising investment influences sales volume. We can also analyze the correlation between social media engagement and conversion rate to understand whether social media interaction influences customer trust and purchasing behavior.
24. Top-down Analysis
This technique is useful for analyzing a detected case in detail. It begins with an overview and delves deeper into the analysis, filtering and applying increasingly diverse perspectives until reaching the root cause of the problem or the source of an opportunity. It allows for a deeper understanding of a problem or opportunity and the development of much more effective solutions.
Results : Helps identify the root cause of a problem or the source of an opportunity. It enables the development of more effective solutions by understanding the factors contributing to the problem or opportunity.
Dimensions and metrics : We use the metrics we want to analyze (traffic, sales, conversions, etc.) and analyze the data in a top-down manner, starting with an overview and drilling down to the level of detail needed to understand the problem or opportunity.
Example : Analyze a sales decline by starting with an overview of total sales, then analyzing sales by product category, then analyzing sales by individual product, and finally analyzing the behavior of customers who have stopped purchasing a specific product. This can help identify the root cause of the sales decline and develop strategies to reverse the trend.
Other comparative analyses of Key Segments
Analysis of the evolution of gaps between segments over time.
Comparison of the performance of key segments with benchmarks or with the competition.
Analysis of the influence of external events on the performance of key segments.