Reports Dashboard
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The revenue performance table shows, over weekly (or monthly) time ranges, information about non-bounces groups and the related performances in terms of orders reached with or without Fanplayr (net revenue, discount and discount %).
In the last two columns you can find the total net revenue (Fanplayr + non-Fanplayr) for each time period and the net revenue per visit (net revenue tot/non-bounces).
The AOV Strategy data table shows carts sizes grouped by value quantiles so that each bucket has approximately the same number of orders. For each cart size range the table shows the median net revenue, the number of orders and the total net revenue.
In the last column, the table shows information on the estimated incremental revenue that could be achieved if all visitors in a given cart size range were converted at the highest value of that range. This is useful to define AOV-related strategies (setting minimum purchases, making upsells, etc.).
Thanks to this analysis it’s easier to define the most relevant minimum purchase offer strategy based on the incremental revenue and the net revenue median (how much it is close to the highest value of the related cart size range).
Within the 45,78€ - 59,93€ cart size range, the total net revenue earned is 2.647,85€ , with a median net revenue of 52,87€. If all the 50 orders in the range were done at the highest value of the range (59,93€) the total net revenue would have been incremented by 348,65€. Since the median net revenue is close to the highest range value (7€ difference), it could be worth testing a small offer with a minimum purchase requirement of 60€ to upsell this segment.
This table shows the conversion stages of a visit, starting from non-bounces visitors, to visitors who reached a product page, to visitors who added an item to the cart and to the converted users.
On the right column you can see the related percentage of users in each stage compared to the previous one:
The percentage of users who reached a product page out of the total non-bounces
The percentage of users who added an item to cart out of the total number of users who reached a product page
The percentage of converted users out of the total number of users who added an item to cart
This table is particularly useful for analyzing different users behavior in relation to devices, sources of traffic, geolocalization and other demographic and behavioral attributes.
The customer profiles table splits users based on attributes such as country, net revenue, time on site and page views. Then, based on this grouping, shows the number of converting users and the non-converting ones, and the potential incremental revenue that could have been earned if the non-converting ones had converted (with the site current OAV and CR).
