Other granular analysis – comparative

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Comparison of the performance of individual canada phone number list elements over time.
Analysis of the variation in the performance of elements in different contexts.
Comparison of individual elements with benchmarks or with the competition.
Descriptive Analysis of Key Segments
19. Weight analysis
This technique is useful for understanding the composition of a metric and which elements weigh most heavily. It allows you to identify the most important elements of the metric and prioritize improvement actions. It's often applied to key metrics to explain things like what actually drives conversions or revenue.
Results : Helps understand the relative importance of each element and focus attention on the most relevant elements. It allows you to optimize strategies and maximize the impact of your actions.
Dimensions and metrics : We use the metrics we want to analyze (traffic, sales, conversions, etc.) and group the data by the dimension we want to analyze (marketing channels, products, etc.). We calculate the weight of each element relative to the total, and identify the most important elements.
Example : Analyze which marketing channels generate the most conversions to optimize marketing investment and focus efforts on the most effective channels. We can also analyze which products contribute the most to revenue to optimize sales strategies and promote the most profitable products.
20. Definition of priorities
This technique is useful for prioritizing actions based on segment weights, such as focusing marketing efforts on the most profitable segments or prioritizing product development for segments with the greatest growth potential. It allows for optimizing resource allocation and maximizing the impact of actions. Its analytical basis is very similar to the definition of weights, but in this case, it is then aimed at establishing the extent to which actions are prioritized based on effort/benefit.
Results : It allows you to identify the most important segments and prioritize actions based on their potential impact. It helps optimize decision-making and ensure that efforts are focused on the most relevant areas for the business.
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 segments (customer segments, product categories, etc.). We analyze the performance of each segment, and prioritize actions based on their relative importance.
Example : Focus marketing efforts on the most profitable customer segments, those with a higher LTV or conversion rate. We can also prioritize new product development for segments with the greatest growth potential.