Here you can upload a CSV file Phone Number Database containing the returns at transaction level, so that you can make this data transparent in Google Analytics. Using the returns statistic you can calculate net sales and net turnover. By adding this as a calculated metric in Google Analytics, you can then use this metric in Phone Number Database custom reports and dashboards (for example, in DataStudio). What insights do you get from this? For example, with this advanced metric you can see whether certain traffic sources Phone Number Database or campaigns are responsible for many returns or returns with a high value.
If this is the case, it may Phone Number Database just happen that you allocate more budget to certain campaigns or media efforts than can actually be justified on the basis of profitability. With the help of such insights you can re-allocate budgets. This way you can use the online marketing budget more effectively for other channels Phone Number Database and generate more net revenue on balance. You could go much further with this. Certain customers may return items very often, you may want to retarget them less aggressively or, for Phone Number Database example, not offer free shipping. Also read: Universal Analytics stops, why you should switch to GA4 now In short, plenty of opportunities. But start.
Import purchase price into Phone Number Database Google Analytics for margin calculation Another advanced metric that can provide great insights is the margin earned per product or transaction. By ensuring that the Phone Number Database purchase price or cost price (which partly also includes overhead costs) is imported into Google Analytics, you can calculate the margin based on the sales price. You could make this Phone Number Database margin available in Google Analytics both as an absolute number (in euros) and as a percentage. And that gives you many new possibilities in the field of reporting and management.