Of course, basic users may not find this feature to be useful, but if you are a photographer or may be just someone who takes a lot of pictures, uploads them to Picasa and then shares with others, you might be curious about the stats like the number of people who view a particular photo, the places they come from etc. We will show you today how you can easily get those stats using Analytics with Picasa. This is a two-step process but is very easy at the same time.
Setting up a Google Analytics account
Step 1: If you don’t have an account at Google Analytics make sure you make one before you continue. If you already have an account skip to the next step. Step 2: Both, the returning and the new user, will have to make a tracking account with Analytics to track the visitors on your Picasa Web Albums. To create a new tracking account click on the gear icon on the right-hand side and click on Create New Account. Step 3: While filling up the account details use http://picasaweb.google.com for the Website’s URL. The rest of the details will depend upon your location and sharing preference. Step 4: Click on Next and copy the unique Google Analytics tracking code that will be provided to you. It will look something like this: UA-xxxxxxx. That’s all; there is nothing more you need to take care of as far as Analytics is concerned. Just click on Save Settings.
Adding the Details to Picasa Web Album
Step 1: Login to your Picasa Web Albums, click the gear icon and open Photo Settings. Step 2: In the General tab, look for the option that says Photo tracking and enable Track visits to my photos using Google Analytics. Step 3: Now, enter the Google Analytics tracking code you got in Step 4 while creating the Google Analytics tracking account and save your settings. That’s all and you can now see your Picasa Web Album visitor stats in your Google Analytics account. Note: It can take up to 24 hours before your tracking code is detected by Picasa. Don’t forget to share with us your experience on the all-new Analytics. Are you comfortable with the new makeover or the older version was better? We look forward to your comments. The above article may contain affiliate links which help support Guiding Tech. However, it does not affect our editorial integrity. The content remains unbiased and authentic.