We do this by analyzing location data to determine where potential users of new developments are located and how far they are typically willing to travel. With that information, we can see which neighbourhoods can accommodate those constraints and of those neighbourhoods that can, which neighbourhoods have the purchasing power (as determined by transaction data and personal account data) currently and into the future
We do this by identifying customer segmentation at a client’s property and from there determining customer demographics, shopping habits, and media viewership. We can then inform advertising strategies using that data.
We do this by identifying customer segmentation at a client’s competitor property and comparing it to the client’s locations. From there we determine customer demographics, shopping habits, and media viewership. We can then inform advertising strategies using that data and benchmark performance of a client’s locations against competitors week over week or month over month. This will show the effectiveness of advertising strategies for different demographics.
With the ongoing changes in our economy due to Covid and digitization, many retail locations are underperforming. With location data and credit card transactions, merchants can determine which of their competitor strategies are successful and to which demographics. A client’s strategies can then be adjusted to sell what the marketplace demands.