Help Solve This Financial Puzzle: Dropping Rebates Per Case

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SUMMARY

The discussion centers on analyzing the drop in overall rebate per case from £16.30 to £15.96 between weeks 25 and 26, resulting in a financial impact of £13,566. The user, Hannah, seeks to break down this total by ingredient, particularly noting that while the rebate per case for soft drinks increased, a decrease of 308 cases ordered contributed to the overall decline. The solution involves calculating weighted averages to apportion the rebate drop accurately among different products.

PREREQUISITES
  • Understanding of rebate calculations and financial impact analysis
  • Familiarity with weighted averages and percentage computations
  • Basic knowledge of product order quantities and their effects on financial metrics
  • Experience with data analysis tools such as Excel or Google Sheets
NEXT STEPS
  • Learn how to calculate weighted averages for financial data analysis
  • Explore methods for breaking down financial impacts by product category
  • Research techniques for visualizing rebate trends over time
  • Investigate advanced Excel functions for financial modeling
USEFUL FOR

Financial analysts, business managers, and anyone involved in rebate management and product performance analysis will benefit from this discussion.

hannahg252
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Hi,

I'm trying to prove something that I think is simple but am really struggling so would greatly appreciate any help!

Over 2 weeks I receive rebates, the value of the rebate can vary both due to the rebate on each case and also the number of cases ordered.
Between week 25 and week 26 my overall rebate per case dropped from £16.30 to £15.96 which has a financial impact of 13,566. I know this is the right number as it takes into account variation on rebate per case and the number of cases ordered but it is the same calculation in the individual ingredient rows above but they don't add up to this total.

Basically I want to prove how to split the 13,656 by ingredient to for example show that even though our rebate per case on soft drinks increased, because we have ordered 308 less cases this is causing our overall rebate per case to decline so that I can say how much of the 13,656 drop is driven by this.

The numbers are in the JPG file attached and would really value some clever brains to help me solve the riddle.

Thanks!

Hannah
 

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hannahg252 said:
Hi,

I'm trying to prove something that I think is simple but am really struggling so would greatly appreciate any help!

Over 2 weeks I receive rebates, the value of the rebate can vary both due to the rebate on each case and also the number of cases ordered.
Between week 25 and week 26 my overall rebate per case dropped from £16.30 to £15.96 which has a financial impact of 13,566. I know this is the right number as it takes into account variation on rebate per case and the number of cases ordered but it is the same calculation in the individual ingredient rows above but they don't add up to this total.

Basically I want to prove how to split the 13,656 by ingredient to for example show that even though our rebate per case on soft drinks increased, because we have ordered 308 less cases this is causing our overall rebate per case to decline so that I can say how much of the 13,656 drop is driven by this.

The numbers are in the JPG file attached and would really value some clever brains to help me solve the riddle.

Thanks!

Hannah

In this particular case you can say the change in the amount of rebates was caused totally by the change in the rebates in soft drinks [just look at the differences by product]. As an explanation of why this is true, you can point to the change in the number of each product.

Generally, when trying to apportion results by product, one computes percentages (that is weighted averages). Thus one could, if it made sense otherwise, compute the percentage of the total of your last column and apply that to the 13,566. Once again, this might tell you what, but not why.
 

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