Question
Compute Compounded Average Growth Rates to compare Facebook, Twitter, and Pandora CAGR = (end value/Initial value)- 1 CAGR is the average growth in a series
Compute Compounded Average Growth Rates to compare Facebook, Twitter, and Pandora
CAGR = (end value/Initial value)- 1
CAGR is the average growth in a series over a period of time, you are tasked with estimating the CAGR of the Number of monthly active users on Facebook, Twitter and Pandora. Annual Ad revenues for Facebook, Twitter, and Pandora
The Compounded Average Growth Rate is a metric that is commonly used to evaluate growth rates of users on social platforms. The formula is as follows: CAGR = (end value/Initial value)- 1
CAGR is the average growth in a series over a period of time. In your assignment, you are tasked with estimating the CAGR of the Number of monthly active users on Facebook, Twitter and Pandora. Annual Ad revenues for Facebook, Twitter, and Pandora Note that compounding the growth rate allows you to smooth the series, meaning that unexpected changes due to one-off type events in any month do not significantly affect the metric. Also, note that some data is available in a monthly series (e.g., Facebook), while other data is available only by quarter (Twitter, Pandora). The CAGR of MAUs has been computed for Facebook in the spreadsheet to demonstrate how the formula is applied. You will need to adapt the formula to make comparisons between the three platforms. You will need to compute the following figures (marked as ? in the table below) to answer the multiple choice questions on the quiz that follows: Facebook Pandora Twitter CAGR (MAUs) Q4 2013 to Q1 2020 ? ? * CAGR (Annual Ad Revenues) 2014 to 2019 ? ? ? *note that Twitter data is only available till Q1 2019. Therefore, please compute CAGR from Q4 2013 to Q1 2019 for Twitter
Tips for success #1 Note that the data for the platforms are provided on different sheets of the Excel file titled CAGR.xlsx (see screenshot below). The worksheet tabs include Facebook, Pandora, and Twitter. #2: In essence, you need to compute CAGR for each platform for the time periods listed above to make any useful comparisons. The Facebook worksheet shows how the CAGR is computed for Facebook from Q1 2010 to Q1 2020. The formula and result appear in cell H5 of the worksheet. You will have to change the formula when you apply it to estimate MAU and Annual Ad revenues growth rates. Please ensure that you sum the quarterly data for Ad Revenues to obtain annual figures (see cell E25 of the spreadsheet).
Facebook Number of Monthly Active Users in USA Canada (Millions) | | |||||||||
Note that n corresponds to the number of time periods, which equals 40 in the Facebook time series data | ||||||||||
MAUs | Ad Revenues | CAGR | =((B46/B6)^(1/40)-1) | = | 1.68% | |||||
Q1 '10 | 130 | 209 | ||||||||
Q2 '10 | 137 | 243 | ||||||||
Q3 '10 | 144 | 260 | ||||||||
Q4 '10 | 154 | 359 | ||||||||
Q1 '11 | 163 | 332 | ||||||||
Q2 '11 | 169 | 394 | ||||||||
Q3 '11 | 176 | 395 | ||||||||
Q4 '11 | 179 | 462 | ||||||||
Q1 '12 | 183 | 419 | ||||||||
Q2 '12 | 186 | 479 | ||||||||
Q3 '12 | 189 | 538 | ||||||||
Q4 '12 | 193 | 631 | ||||||||
Q1 '13 | 195 | 552 | ||||||||
Q2 '13 | 198 | 721 | ||||||||
Q3 '13 | 199 | 832 | ||||||||
Q4 '13 | 201 | 1,068 | Annual Ad revenues | |||||||
Q1 '14 | 202 | 1,039 | ||||||||
Q2 '14 | 204 | 1,175 | ||||||||
Q3 '14 | 206 | 1,362 | ||||||||
Q4 '14 | 208 | 1,709 | 2014 | 5,285 | =SUM(C22:C25) | |||||
Q1 '15 | 210 | 1,592 | ||||||||
Q2 '15 | 213 | 1,826 | ||||||||
Q3 '15 | 217 | 2,120 | ||||||||
Q4 '15 | 219 | 2,847 | 2015 | 8,385 | ||||||
Q1 '16 | 222 | 2,615 | ||||||||
Q2 '16 | 226 | 3,077 | ||||||||
Q3 '16 | 229 | 3,431 | ||||||||
Q4 '16 | 231 | 4,435 | 2016 | 13,558 | ||||||
Q1 '17 | 234 | 3,851 | ||||||||
Q2 '17 | 236 | 4,450 | ||||||||
Q3 '17 | 239 | 4,912 | ||||||||
Q4 '17 | 239 | 6,271 | 2017 | 19,484 | ||||||
Q1 '18 | 241 | 5,559 | ||||||||
Q2 '18 | 241 | 6,137 | ||||||||
Q3 '18 | 242 | 6,547 | ||||||||
Q4 '18 | 242 | 8,246 | 2018 | 26,489 | ||||||
Q1 '19 | 243 | 7,203 | ||||||||
Q2 '19 | 244 | 7,952 | ||||||||
Q3 '19 | 247 | 8,317 | ||||||||
Q4 '19 | 248 | 10,021 | 2019 | 33,493 | ||||||
Q1 '20 | 253 | 8,379 |
Pandora Number of Monthly Active Users USA (millions) | |||||
Period | MAUs | Year | Ad Revenues (In million US dollars) | ||
Q4 2013 | 76.2 | 2014 | 732.34 | ||
Q4 2014 | 81.5 | 2015 | 933.31 | ||
Q2 2015 | 79.4 | 2016 | 1,072.49 | ||
Q4 2015 | 81.1 | 2017 | 1,074.93 | ||
Q2 2016 | 78.1 | 2018 | 1,092 | ||
Q4 2016 | 81 | 2019 | 1,200 | ||
Q2 2017 | 76 | ||||
Q4 2017 | 74.7 | ||||
Q1 2018 | 72.3 | ||||
Q2 2018 | 71.4 | ||||
Q3 2018 | 68.8 | ||||
Q4 2018 | 69.4 | ||||
Q1 2019 | 66.04 | ||||
Q2 2019 | 64.9 | ||||
Q3 2019 | 63.1 | ||||
Q4 2019 | 63.5 | ||||
Q1 2020 | 60.93 |
Twitter: number of monthly active U.S. users 2010-2019 (millions) | ||||||
Period | MAUs | Year | Ad Revenues (in million US dollars) | |||
Q1 '10 | 10 | 2012 | 270 | |||
Q2 '10 | 12 | 2013 | 590 | |||
Q3 '10 | 14 | 2014 | 1250 | |||
Q4 '10 | 15 | 2015 | 1990 | |||
Q1 '11 | 19 | 2016 | 2250 | |||
Q2 '11 | 23 | 2017 | 2110 | |||
Q3 '11 | 27 | 2018 | 2620 | |||
Q4 '11 | 30 | 2019 | 2990 | |||
Q1 '12 | 34 | |||||
Q2 '12 | 37 | |||||
Q3 '12 | 40 | |||||
Q4 '12 | 45 | |||||
Q1 '13 | 48 | |||||
Q2 '13 | 49 | |||||
Q3 '13 | 53 | |||||
Q4 '13 | 54 | |||||
Q1 '14 | 57 | |||||
Q2 '14 | 60 | |||||
Q3 '14 | 63 | |||||
Q4 '14 | 63 | |||||
Q1 '15 | 65 | |||||
Q2 '15 | 65 | |||||
Q3 '15 | 66 | |||||
Q4 '15 | 65 | |||||
Q1 '16 | 65 | |||||
Q2 '16 | 66 | |||||
Q3 '16 | 67 | |||||
Q4 '16 | 67 | |||||
Q1 '17 | 69 | |||||
Q2 '17 | 68 | |||||
Q3 '17 | 69 | |||||
Q4 '17 | 68 | |||||
Q1 '18 | 69 | |||||
Q2 '18 | 68 | |||||
Q3 '18 | 67 | |||||
Q4 '18 | 66 | |||||
Q1 '19 | 68 |
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