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Discount Analysis
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About this dashboard


What is it?

Use this dashboard to gain insights into customer demographics' sensitivity to discounts. Consumers with higher discount sensitivity are more likely to alter their purchase behaviors in response to discounts, whereas those with low discount sensitivity may respond better to in-store signage, budtender recommendations, vendor days, or improved shelf displays. Combining this demographic discount data with other Marketing dashboards can inform your future promotional strategies.

Why would you want this?

  • Understand the average total discount for a given period
  • Determine the percentage of customers who made purchases with discounts over a specified time frame
  • Assess the level of discount sensitivity within each demographic
  • Drill down into specific gender and generation data to shape future promotional campaigns

Filter capabilities of this dashboard:

This dashboard enables users to analyze the discount sensitivity of specific gender and age groups. To review overall discount sensitivity, leave the Gender and Age Group filters blank. Utilize these filters to dive deeper into the data.


Discount Sensitivity

The Discount Sensitivity visual illustrates how a customer's average basket changes when discounts fall into the low, medium, or high buckets. Based on the information presented below, it becomes evident that a 10-20% discount represents the sweet spot for this store, as the average basket value is highest in this range. Offering discounts higher than this range could impact profit margins.


Average Discount Size Over Time by Age Group

This visual serves as a benchmarking tool for tracking the average discount over time. For instance, it is apparent that, on average, millennial females receive the highest average discount percentage at 33.5% (refer to the Average % Discount chart below). As a retailer, you may consider strategies such as reducing discounts to the 10-20% range or bundling female-preferred products to increase the average basket value and decrease the need for extensive discounting.


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