On Feb. 14th Taobao launched a campaign to sell insurance products, which promises 7% yearly interest rate. The sales data is public, so I wrote a script to crawl them down and did a brief study on this data. Here’re the results.
On that day (actually sold out in less than two hours in total) more than 40,000 people participated, resulting a total sales of almost one billion CNY (the exact number: 980,270,000 CNY). Two companies participated in this sales campaign: Zhujiang and Tian’an. The sales statistics are:
|# of Customers||13831||29092||42923|
|Sales mean (k CNY)||24.922059||21.847003||22.837872|
|Sales min (k CNY)||1||1||1|
|Sales 25% (k CNY)||1||2||2|
|Sales 50% (k CNY)||10||10||10|
|Sales 75% (k CNY)||20||25||22|
|Sales max (k CNY)||1000||900||1000|
|Sales total (k CNY)||344697||635573||980270|
The histograms of how many people pay for each amount.
Zhujiang was extremely popular: in 2 minutes and 56 seconds it reached a sales of 200,212,000 CNY, that’s more than 1 million CNY sales PER SECOND! Indeed Chinese are crazy about online shopping. 😀IPython NumPy Pandas Python