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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