Question: Let's say you're running an online subscription - based service. Subscription fee is $ 1 0 per month per user and can be canceled any

Let's say you're running an online subscription-based service.
Subscription fee is $10 per month per user and can be canceled any month any.
Currently there are 10,000 users.
Monthly recurring revenue is Number of users \times Subscription fee.
The annual cost of maintaining the service is fixed at $1 million per year regardless of users. The monthly user growth rate (can increase or decrease) over the past 5 years from 2016-2020 is represented as the attached image.
You expect the next 12 months to be similar to any of the previous 60 months. Determine whether it is profitable to continue operating this service next year by using any Approximate Inference - Monte Carlo methods, explain the results and using Python to visualize for 10,000 samples.
P.s: I've code by using Python and have the chart like the image but I don't know whether my answer is correct or not. I have to submit my homework in 10.5.2024 Probability of making a profit: 94.49%
\table[[Year,Jan,Feb,Mar,Apr,May,Jun,Jul,Aug,Sep,Oct,Nov,Dec],[2016,-2.0%,3.5%,0.5%,2.2%,1.9%,2.8%,2.2%,0.2%,5.0%,3.0%,3.6%,-4.6%],[2017,-11.4%,4.7%,-3.1%,-3.9%,-4.3%,-1.4%,-4.5%,4.4%,7.7%,10.3%,2.3%,-1.4%],[2018,1.3%,-5.8%,5.2%,-8.6%,-4.1%,-1.5%,2.4%,-2.7%,-3.3%,-0.6%,6.0%,-3.7%],[2019,0.0%,1.1%,2.8%,0.3%,9.6%,-6.7%,1.0%,-1.3%,-4.3%,-3.0%,-1.2%,-8.3%],[2020,-7.9%,-0.2%,0.9%,1.0%,-4.6%,2.0%,-0.9%,7.3%,-4.5%,-7.9%,-4.1%,5.6%]]

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