Tracking the Depth of Visit to your Etsy Shop

Google Analytice can tell you how many people are clicking past the first page of your listings by looking at the page numbers that Etsy includes in the URL of your shop pages. If you go to page 2 or above of your shop, you can see these numbers in the address:

www.etsy.com/shop.php?user_id=xxxxxxx&order=&section_id=&page=2

You can sort your content report in Google Analytics by these different page URLs to see how many people are clicking past your front page. Here's how:

• From your Google Analytics dashboard, click the Content link in the left-hand menu.
• Click Content by Title
• From the report, find the title of your Shop page. Because Google ranks the report by how many pageviews it has had, your shop page is usually at or near the top of the report. Click on the shop page.

A list of partial URL's will appear. Your first shop page will usually be at the top, and will look like /shop.php?user_id=xxxxxxx. This is page one of your shop. You can see in the columns to the right the number of visits you had to this page.

Hover your cursor over the next partial URL on the report. It will probably be page 2 of your shop, and will look something like www.etsy.com/shop.php?user_id=xxxxxxx&order=&section_id=&page=2. You can see the number of views for page two in the columns on the right. This tells you how many times a visitor to your shop clicked as far as the second page.

You can look at all the pages in your report this way, but a simpler way is to have Google make a pie chart for you. Click on the pie chart button to the upper right of the report:


And your information will be displayed graphically. In the following pie chart, it shows that about 40% of the pageviews were of the first page. About 9% clicked on to page 2, about 7% on to page 3 and so on.


Google only includes the top ten pages in this report by default, so if you have more than ten, some views will be included in the "gray" portion of the chart. This portion also includes the views of your pages where someone may have re-ordered your items by listing date or price. I'll have more on how to pull that information out in another post.

Here's a video walkthrough for looking at this report.