Current Attempt in Progress

You are an internal audit data analytics consultant at a Big $4$ firm who has been hired by The Royal Cooks, a supplier of cookware to commercial kitchens, to consult on an accounts receivable project. As part of the accounts receivable project, your team is looking at collection communications$-$specifically, emails sent to customers who owe balances. The Royal Cooks' communications team can view whenever a customer opens an email, including collections and marketing messages. This data is stored in a structured table in a relational database that can easily be analyzed by your team.

The accounts receivable team has noticed an increase in unopened emails recently, and they are concerned that customers may not be opening their collections emails due to too many marketing emails in their inboxes.

Maeva Han is the Senior Director of Marketing at The Royal Cooks. When you meet with her, Maeva tells you that The Royal Cooks sends email marketing communications seasonally. Currently, The Royal Cooks is in a peak season where a variety of marketing campaigns are running, including an increase in email marketing communications. Maeva provides you with the times of year in which her team engages in "peak marketing".

To determine if the accounts receivable team's concerns are valid, you acquire data from the communications team for all emails sent for collections and marketing within the last two years. You filter this data by opened and unopened communications, and then separate it into the peak and non$-$peak marketing seasons. season is significantly lower than the percentage of collections emails opened during the non$-$peak marketing times.

$\{\begin{array}{c}\text{:}[100\%]\\ 90\%-\\ 80\%-\\ 70\%-\\ 60\%\end{array}-$