Question: Based on the data please help out with the following questions. Please also take a look at units for the cells as some units are

Based on the data please help out with the following questions. Please also take a look at units for the cells as some units are in dollars and some are in euros. For this analysis I want to use euros, we can assume 1 dollar is equal to 0.85 euros. I need exact answers and excel formulas that are used. thank you!

Advertising (K $) Promotion (K ) Sales (K Units) Price ($/unit) Contribution Margin ($/unit) marketing expenses (K$)
1-Nov-15 1050 2600 2810 7.1 1.67 3650.00
1-Dec-15 1100 2750 3340 7 1.65 3850.00
1-Jan-16 1180 2750 3560 7 1.65 3930.00
1-Feb-16 1000 2000 2420 7.05 1.66 3000.00
1-Mar-16 1000 1800 2430 7.05 1.66 2800.00
1-Apr-16 900 2200 2350 7.1 1.68 3100.00
1-May-16 950 2300 2400 7.1 1.68 3250.00
1-Jun-16 1000 2350 2600 7.05 1.65 3350.00
1-Jul-16 1000 2250 2550 7.05 1.65 3250.00
1-Aug-16 1050 2300 2510 7.1 1.66 3350.00
1-Sep-16 950 2400 2520 7.1 1.66 3350.00
1-Oct-16 950 2450 2600 7.1 1.66 3400.00
1-Nov-16 1100 2675 2780 7.1 1.66 3775.00
1-Dec-16 1150 2710 3235 7.05 1.65 3860.00
1-Jan-17 1185 2750 3415 7 1.64 3935.00
1-Feb-17 1050 2000 2500 7.05 1.64 3050.00
1-Mar-17 1000 1750 2365 7.1 1.66 2750.00
1-Apr-17 900 2415 2555 7 1.63 3315.00
1-May-17 1075 2500 2700 7 1.63 3575.00
1-Jun-17 1050 2460 2670 7.05 1.64 3510.00
1-Jul-17 1050 2400 2650 7 1.64 3450.00
1-Aug-17 1100 2460 2700 7 1.63 3560.00
1-Sep-17 900 2600 2620 7 1.63 3500.00
1-Oct-17 950 2350 2570 7 1.63 3300.00
1-Nov-17 1195 2750 2855 7 1.63 3945.00
1-Dec-17 1185 2915 3335 6.95 1.62 4100.00
1-Jan-18 1190 2915 3485 6.95 1.62 4105.00
1-Feb-18 1050 2250 2595 7 1.63 3300.00
1-Mar-18 1050 2000 2500 7 1.63 3050.00
1-Apr-18 1150 2625 2785 7 1.63 3775.00
1-May-18 1060 2585 2715 7 1.62 3645.00
1-Jun-18 1100 2835 2925 6.95 1.62 3935.00
1-Jul-18 1000 2790 2745 6.95 1.62 3790.00
1-Aug-18 1050 2790 2780 6.95 1.62 3840.00
1-Sep-18 1150 2915 2880 6.9 1.61 4065.00
1-Oct-18 1100 2750 2795 6.9 1.61 3850.00

  • Calculate Monthly Net Contribution and ROI:
  • Using the data in the spreadsheet, calculate the monthly net contribution (in thousands of euros) and the return on investment (ROI).
  • Plot the data to visualize trends and patterns. Analyze what you observe from the plots regarding sales and profit.

  • Identify Key Drivers of Sales & Profit:
  • Determine the key drivers of sales and profit based on your analysis of the plotted data.

  • Evaluate Advertising and Sales Promotion Spending:
  • Assess whether Atrium has been overspending or underspending on advertising and sales promotion.
  • Provide a quantitative estimate of how much they are overspending or underspending.

  • Propose Budgets for the Next Year:
  • Based on your analysis, propose advertising and sales promotion budgets for the upcoming year.
  • Justify your recommendations with data.

  • Regression Analysis:
  • To gain deeper insights, perform a multiple regression analysis to separate the effects of advertising and promotion while controlling for other sales drivers.
  • In Excel, navigate to Data > Data Analysis > Regression. If 'Data Analysis' is not visible, install the 'Analysis Tool Pak'.
  • For the regression:
    • Set 'Input Y Range' to sales units (e.g., 'b2:b37').
    • Set 'Input X Range' to advertising and promotion (e.g., 'c2:d37').
  • Review the regression output, focusing on R-squared and coefficients.

  • Calculate Elasticities:
  • Calculate the elasticities of sales to marketing using the coefficients from the regression. Use the average monthly sales and marketing data from the last year as baselines.
  • Alternatively, perform a log-log regression by calculating the logarithm of sales and marketing variables, and use these in the regression tool.

  • Defend Your Choices:
    • Reflect on your regression model. Are there any sales drivers that may have been omitted, leading to potential bias? Ensure you can defend your choices in a hypothetical meeting.

  • Optimal Marketing Budget:
  • Use Wright's formula to calculate the optimal marketing budget by multiplying each marketing elasticity by the expected contribution margin and sales.
  • Sum the optimal advertising and promotion budgets to determine the overall optimal marketing budget.

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