In April, Pick n Pay announced that it was revamping its Smart Shopper loyalty programme. The changes would see the local retailer halving the value of the cash rewards offered to Smart Shopper customers. Instead, the store would be making benefits more personal and easily accessible.
How are they doing so? Well, they’re putting all the data they have about you to good use. A move that represents how more and more retailers are embracing digitalisation as part of their efforts to provide each customer with a positive and customised experience.
Getting to know you, digitally
According to a global survey conducted by KPMG, one in five UK-based shoppers will scan a barcode to get more information about a product. The same study revealed that 25% of global consumers are paying for goods using their mobile devices.
These findings reveal that increasingly tech-savvy consumers are demanding a more interactive, personal experience. Digitalisation in retail isn’t something brands can ignore.
As part of the Smart Shopper programme upgrade, Pick ‘n Pay are now tailoring their promotions depending on your purchase history.
Let’s say you drink a lot of coffee, well, they’ll offer you a discount on your next caffeine purchase. Before the digitalisation of retail, a store’s interaction with you ceased the second you walked out the door. They had no idea who you were and what products you favoured. Now, with loyalty programmes like Smart Shopper, they have information about your likes and spending habits and can use this data to provide you with savings on items you buy regularly.
The digitalisation of telecoms expense and lifecycle management has allowed us at Nebula to provide our customers with a similar, personalised experience. And to streamline, painful, manual processes. By analysing a company’s telecoms bill, we can determine where they should be spending money, how they can reallocate resources and where they should be cutting back. This data allows us to restructure each customer’s telecoms infrastructure based on their unique usage patterns, preferences and needs.
If you want to find out how we do all this, we’d love to hear from you. Simply fill in your contact information below and we’ll get back to you.