Al has been using the RapidBlue Shopper Analytics solution for a few months now and has obtained a good general understanding of how shoppers use his space. Based on the general data he didn’t previously have access to he is now well equipped to deal with tenant disputes, organize better promotions and events and understand how his own actions can influence visitors to his shopping centre.
Today Al faces a problem that only the RapidBlue Shopper Analytics solution can solve. One of his tenants has been unhappy for a while in the sales figures and has now indicated he believes strongly that his retail store is not receiving the visitor flow it should. Today, this tenant has sent Al a rent reduction request, asking for two months free rent, totalling an EUR 18 000 rent reduction request.
Al looks at the rent reduction request, quickly browses through the PDF-reports he has received from the RapidBlue Shopper Analytics solution for the last three months and makes a crucial discovery in a matter of seconds. In fact the flow past this particular retailer has not diminished, it has increased!
Three months ago Al might have been inclined to grant at least a partial rent reduction, but no more. Through Shopper Analytics Al now sees evidence that he has been performing his job by providing this retailer the flow and realizes the reason for the tenant’s lack of sales must be elsewhere.
Al discloses the Shopper Analytics data to the retailer and suggests that together they work on addressing the retailer’s lack of sales. The retailer looks at the evidence, withdraws his rent reduction request and begins to work with Al on discovering other possibilities causing the low sales figures. On the side, the retailer hints to Al he wishes he would have a similar solution in place for his individual retail store.