First, we need to collect data by ourselves. The data of our interest would be units of sales

$($global market$)$ or total value of sales. The data source could be from some reports,

newsletters or retrieved from some well$-$established database. In the report, please describe

how you get the data.

$2.$ Forecasting new purchases after a product introduction is an important marketing problem.

Based on the collected data, please conduct a forecasting analysis. Specifically, we will apply

the forecasting model developed by Frank Bass.

The Bass model has three parameters that must be estimated.

o m is the number of people estimated to eventually adopt a new product;

o q is the coefficient of imitation which measures the likelihood of adoption due to a

potential adopter influenced by someone who has already adopted the product;

o p is the coefficient of imitation which measures the likelihood of adoption assuming

no influence from someone who has already adopted the product.

The complete forecast model is given by

Ft $=($p $+$ q$($Ct $-1/$m$))($m $-$ Ct $-1)$

$3.$ In the report, please describe the project with detailed market background and analysis,

highlight your prediction and the business takeaways, based on which you may try to provide

some recommendation.

$4.$ To help you sell your forecast result, error performance will be presented.