How to set up Google Analytics for e-commerce tracking?

@dorothea 

Setting up Google Analytics for e-commerce tracking involves a few simple steps. Here is a step-by-step guide:

1. Create a Google Analytics account: If you don’t already have a Google Analytics account, you will need to create one. Go to https://analytics.google.com/ and sign up for an account.
2. Set up a property: Once you have a Google Analytics account, you will need to create a property for your website. Go to the admin section of your account and click on “Create Property” button. Enter your website’s URL and follow the instructions.
3. Enable e-commerce tracking: Once you have set up your property, you will need to enable e-commerce tracking. To do this, go to the “E-commerce Settings” tab in the “View” section of your property. Then, turn on the “Enable E-commerce” and “Enhanced E-commerce Settings” toggles.
4. Add tracking code to your website: After enabling e-commerce tracking, you will need to add the tracking code to your website. You can find your tracking code in the “Tracking Info” section of your property. Copy the code and paste it into the HTML of your website, just before the closing </head> tag.
5. Set up your product and transaction data: To track e-commerce transactions, you will need to set up your product and transaction data. This involves adding information about each product, such as the product name, SKU, price, and category. You will also need to add information about each transaction, such as the transaction ID, total revenue, and shipping cost.
6. Test your setup: Once you have completed the above steps, it’s important to test your setup to make sure it’s working correctly. You can do this by making a test purchase on your website and checking to see if the data is being recorded in Google Analytics.

By following these steps, you should be able to set up Google Analytics for e-commerce tracking on your website. This will allow you to track important metrics such as revenue, conversion rate, and average order value, and gain insights into your customers’ behavior and preferences.