Cross Store Insights

As retail franchisee, often times, you try to analyze the cross store performances. And then some really pertinent questions begin to arise. Take for instance, how do you track customers across stores? Is it valuable to know that a customer is visiting a particular branch quite regularly as compared to other branches? How do you compare conversion rate across stores. How do you know if the same customers visit your store at different locations? How do you know if the average time spent by customers is less or more in a particular store? More importantly, how many visits it takes, on average, before a conversion occurs?

Up until RadioLocus you have understood this metrics only through the data gathered post sales maybe through loyalty card programs and similar methods. But the inadequacy of this is that this kind of data is accumulated only once the sale is done and only for those customers who have signed up for the loyalty programs. But, what about those who haven’t signed up? And what about the data during or before the sale?

RadioLocus helps you understand this metrics with pre-sales data as well, which will gather not only the data of customers who purchase but also those who do not purchase anything without having to involve them in it in any manner.

More often than not, retailers measure footfall vs. Sales figures, which is a very wrong indication on how the store is performing. On the other hand, comparing repeat customers from the RadioLocus data as compared to their POS data would prove to be a very powerful metric.

With RadioLocus you can track customers uniquely, our metrics can easily track different customers, different locations and look into overlaps in customers visiting different locations.

With RadioLocus’, first of its kind, technology you will be able to evaluate store performance across locations i.e. which store is attracting more number of customers and which are the stores that fail to make the cut. If you compare the data from RadioLocus with your point of sale data at an aggregated level, you will be able to see the bigger picture of what is happening in your store and in turn across all your stores. Understanding of your trends will help you to plan your campaigns better thus improving your mass marketing.