ANLY482 AY2016-17 T2 Group21 : PROJECT FINDINGS
Revision as of 02:00, 23 February 2017 by Jiajing.tan.2013 (talk | contribs) (→Exploratory Data Analysis)
Exploratory Data Analysis
Understanding User Base
Our team brokedown Dressabelle's user base in three categories:
- Guest Customers (those that purchase without an account)
- Registered Customers (those that purchase with a registered account)
- Registered Users (those that have an account but has never purchased anything)
Our team weighted customers according to their contribution towards Dressabelle's revenue.
![Customervalue.png](/ANLY482/img_auth.php/thumb/6/6e/Customervalue.png/500px-Customervalue.png)
Findings:
1. Top 25% of most valuable customers gives 72.52% of revenue
2. Top customers on average orders 12 times more than bottom tier customer
Understanding User Growth
![Userreg.png](/ANLY482/img_auth.php/thumb/7/72/Userreg.png/500px-Userreg.png)
Findings:
1. Huge growth in 2013-14
2. Large growth of non-buyers in 2016, possibility due to offline referral
![Regbyweek.png](/ANLY482/img_auth.php/thumb/1/17/Regbyweek.png/500px-Regbyweek.png)
Findings:
1. Huge spikes of customers on Sunday and Thursday
2. Corresponds to weekly collection launches
Findings