My Best Days

Digging into the statistics for your business can give you a lot of valuable information. Today I decided to figure out what days of the week people buy the most from my shop. This information can help me better plan when to list new item, run ad campaigns, and whether a sale is likely to be successful. I took all my sales data from the last year and broke it down into the percentage of sales for each day of the week. Here is the result:

So what does this tell me? Clearly Thursday and Friday are my best sales days with a over 43% of all my sales (24.4% and 18.9% respectively) while the very next day, Saturday, plummets to just under 9% of my sales. There is also a significant bump in sales on Monday (14.75%). So my customers like to shop at the beginning and end of the work week and not on the weekend. Even if I break it down by month, every single month in that date range Thursday and Friday had between 30-50% of all sales. It's very consistent for my shop. The interesting thing is that this is despite the fact that my busiest listing days are generally Sundays and Mondays (because I create over the weekend and list Sunday night and Monday) so the bump on Mondays may only be because that's when I average the most new items listed.

My data also shows that Cyber Monday is not a busy day for me, in fact it's about average for the holiday season. Instead it's usually the first week of December that is the busiest with Wed-Fri being the busiest days. Of course I only really have two years of data for the holiday season since I started my Etsy shop October 2008 so that first holiday season I was still getting things rolling. I'm interested in seeing it this trend hold up.

I'm not encouraging anyone to take my data and use it for their own shop. You should look at your own shop's data, if you don't have many sales yet look at what your highest traffic days are (they tend to match sales patterns fairly well). I wish I had more data to go on but my google skills have failed me and I haven't found any good statistics online of when people shop to compare it to my data.