E-commerce conversion rate: this is the percentage of visitors who actually made a successful purchase;
Transactions: this is the number of transactions in the period you selected;
Revenue: This is the total revenue that Google Analytics has recorded in the period you selected;
Average value: this is the average value of a successful order in the period you selected;
Unique Purchases: The total number of times a specific unique product has been sold. So if the same book is sold twice to 1 person, this number will remain at 1;
Quantity: A total number of times a product has been sold. Multiple products can be purchased per transaction, this number indicates how many products have been sold in total.
Below that you will see a top 10 with most sold products and the corresponding quantities under 'Product' . If you click on 'Product SKU' you can see the same overview but then based on the given article number.
You can also view the overview based on 'Product category' so that you can see the difference in quantities between books and CDs, for example. With ' Source/medium' you can see which sources bring in the most revenue, for example the newsletter, direct traffic or organic. The above is only a small overview of the statistics, you can of course view much more.
Adjust period
It is often important to know the turnover for a certain period. You can adjust the period at the top right.
Adjust period Google Analytics
And if necessary, you can also click to compare the data with another period.
Tip: Google Analytics will not show today's data by default , you can always view it by adjusting the period up to and including today! Please note that the numbers may be lower in some cases because the day is not over yet. You do not yet know who will view the website tonight and what actions they will perform.
Product performance
You can go into more detail on the top selling products under 'Conversions', 'Ecommerce', 'Product Performance' . A few things you might look at are:
Sort the data by 'Product revenue' so you can see which products yield more. By default, it sorts it by the amount sold: however, some products are more expensive than others, which makes them yield more. You could therefore highlight these products that yield a lot and are popular somewhere on the website or in the newsletter.
Under the 'Product category' tab you can also do the same to see which products score well. Or of course which products do not yet.
Sales performance
You can go deeper into the trend in revenue under 'Conversions', 'E-commerce', 'Sales performance' . In this overview you can see the progression of revenue over the past period. For example, latvia phone data you can see when there is a peak, investigate where the peak came from and hopefully how you can reproduce it.
For example, you can indicate in the overview that you want to see 'Source/medium' as a secondary dimension . Then you can see in your overview whether the peak was perhaps caused by a specific campaign or newsletter.
Segmenting
It is not always possible to draw good conclusions directly from the 'standard' statistics of Google Analytics. To delve deeper into the statistics, it is often very useful to segment the data. For example, Google Analytics distinguishes between 'new' and 'returning' visitors by default . But you can also filter based on device: tablet, mobile or desktop. This can lead to different user experiences, and also conversions.
You can segment the data in any report, you do this as follows.
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