Custom Dimensions:
- Stock Status: Learn whether the product is in stock or out of stock. Keeping track of out of stock products will prevent you from acquiring traffic on the out of stock product URLs.
- Page Type: Identifies the type of the page. Example – Category Page, Product Page, etc. Helps you to compare the performance of different site sections.
- Product Discount: Getting Discount data in GA can actually help you in strategizing the discounts by analyzing the impact it is causing on the product demand and other key metrics
- Payment Method: Get insights into which Payment method (paypal, credit card, etc) is most popular for your store, which generates higher AOV and Transactions
- Shipping City & Billing city: Integrates the billing city & shipping city data directly into your GA. It Helps you learn about product demand using insights on Shipping & billing cities.
- Weekday: Learn whether a transactions was completed on weekday/ weekend. Helps you in comparing Weekdays v/s Weekend Performance
- Local timeslot of the day: Learn the local time slot during which maximum transactions happens on your store. This can help you improve your marketing activities across different Geo locations.
- User Type: Using this custom Dimension you will be able to differentiate users based on their checkout method. It will help you understand the popular checkout method of your store.
- Sequence at Product Page: Tracks the sequence in which products pages are viewed in a session. It will give you the idea as to which products are viewed can be offered as a part of recommendation.
- Add to Cart Button Position: The following dimension helps you understand how ‘Add to Cart’ button’s position impacts your CTR. Compare ‘Add to Cart’ buttons position above the fold & below the fold to take important design decisions.
- No. of Product in Stock: Using this custom dimensions you will be able to learn the stock availability of the product right into your Google Analytics. Understand how showing stock quantity of the products is impacting its sales.
- Time Taken to make Purchase: Learn the time taken by users to make purchase after landing on your store. It will help you make real time offers to users.
- Time Take to add Product to Add to Cart: Learn the time taken by users to add product to cart after arriving on the product page. Insights generated from the data will help you strategize the promotional offers.
- Product Size: Track the size of the product in Google Analytics. This will help you analyze the product sales in terms of its size.
- Product Review Count: Learn no. of reviews provided by users for each product. It will help you understand the relation between review count & product demand.
- Product Review Score: Learn average review score for each product in Google Analytics. Understand if a review score of a product increases the conversion rate or not? Additionally, compare the performance of products with low review score & high review score.
