Customer Analysis Dashboard
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The chart shows how the traffic (non-bounces), in the time range selected, is split according to the type of user in the session: new, returning (user who visited the website before) or returning purchaser.
This chart splits traffic based on the number of visits each user had made in 7 days previous to their visit. In the example shown we see that roughly 50% off the overall traffic had no visited in the 7 days prior to their sessions, roughly 15% of traffic had made one visit within a 7 day period and so on.
For each type of user, the table shows, in the time range selected, the number of non-bounces and its percentage over total and then some information about the overall website performance (number of orders, total net revenue, net revenue per visit, CR and AOV) and about Fanplayr’s campaigns performance (number of targeted non-bouncers, percentage of targetization over total, number of orders, total net revenue, net revenue per visit, redemption rate and AOV).
For each row, the table splits the non-bounces according to the number of visits they had over the previous 7 days and shows in the time range selected, the number of non-bounces and its percentage over total and then some information about the overall website performance (number of orders, total net revenue, net revenue per visit, CR and AOV) and about Fanplayr’s campaigns performance (number of targeted non-bouncers, percentage of targetization over total, number of orders, total net revenue, net revenue per visit, redemption rate and AOV).
For each row, the table splits the non-bounces according to the purchase count over time (from 0 to 5 and over 6) and shows in the time range selected, the number of non-bounces and its percentage over total and then some information about the overall website performance (number of orders, total net revenue, net revenue per visit, CR and AOV).
