Difference between revisions of "ANLY482 AY2016-17 T2 Group21 : PROJECT FINDINGS"
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| − | <div style="font-size: | + | <div style="font-size:18px"><b>Understanding User Base</b></div> |
Our team brokedown Dressabelle's user base in three categories: | Our team brokedown Dressabelle's user base in three categories: | ||
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<b>Findings:</b> ⅓ of total users do not make purchases | <b>Findings:</b> ⅓ of total users do not make purchases | ||
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Our team weighted customers according to their contribution towards Dressabelle's revenue. | Our team weighted customers according to their contribution towards Dressabelle's revenue. | ||
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| − | <div style="font-size: | + | <div style="font-size:18px"><b>Understanding User Growth</b></div> |
<div>[[File:userreg.png|500px]] | <div>[[File:userreg.png|500px]] | ||
Revision as of 01:49, 23 February 2017
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 Customers (those that have an account but has never purchased anything)
Findings: ⅓ of total users do not make purchases
Our team weighted customers according to their contribution towards Dressabelle's revenue.
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
Findings:
1. Huge growth in 2013-14
2. Large growth of non-buyers in 2016, possibility due to offline referral
