Horizontal analysis

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It allows you to systematically compare business canada phone number list performance over a specific period with performance from a previous period. These analyses are conducted periodically, always using the same criteria and data to monitor the situation.
Results : Helps identify trends and changes in business performance over time.
Dimensions and metrics : We use the metrics we want to analyze (traffic, sales, conversions, etc.) and compare the values ​​from different time periods.
Example : Compare current month sessions, sales, and revenue to the previous month to identify whether key metrics have increased or decreased.
Other comparative analysis of trends
Analysis of the year-over-year variation of the metrics.
Comparison with the competition over time.
Analysis of the influence of external events on trends.
Granular Descriptive Analysis (GDA)
13. Tops and bottoms / Best and worst
This technique is useful for identifying the best and worst elements of a dimension, such as the most visited pages, the best-selling products, or the most effective marketing campaigns. (Not to be confused with Outlier analysis, which would be based on those that deviate from the norm and would be a more complex analysis.)
Results : This helps identify the elements that have the greatest impact on business performance and identify opportunities for improvement or replication. Caution: These should be used as examples, but don't make the mistake of working on them separately just because you're in that position.
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 (web pages, products, marketing campaigns, etc.). We sort the elements based on their performance, and we identify the "tops" and "bottoms."
Example : Identify the 10 most visited pages on your website to analyze their content and optimize their design. We can also identify the products that generate the most sales and use this information to create more effective marketing campaigns.
14. Unit analysis
This technique is useful for examining a single element in detail, such as analyzing the behavior of a specific user, studying a particular transaction, or analyzing the performance of an individual marketing campaign. It often comes from other analyses in which, to gain insight into what's happening, we choose a single case to examine in detail.
Results : Provides a detailed view of a specific element and understanding of its behavior or performance.
Dimensions and Metrics : We use the metrics we want to analyze (traffic, sales, conversions, etc.) and filter the data by the element we want to analyze (user, transaction, marketing campaign, etc.). We analyze the metrics and look for additional information about the element in question.
Example : Analyzing the behavior of a specific user who made a high-value purchase to understand their motivations and preferences. We can also analyze a fraudulent transaction to identify patterns and prevent future fraud.