With the intense competition among the retailers in Kenya, individual retailers are looking for the best way to win customers over to their shelves. Some spend a lot of time in the social media while others hire the services of various advertisements companies just to help them increase customer loyalty. Over the time, most of these retailers if not all had introduced customer loyalty cards and given shopping vouchers in terms of points whenever one makes a purchase. Consequently most customers have registered for the loyalty cards with different supermarkets and therefore only shops at those specific stores. Payments system has also revolutionized the shopping experience. Currently shoppers in Kenya have various payments methods including: Lipa-Mpesa, Airtel Card, Visa Cards Master Card and the old fashioned cash system. These systems contain all information we need to know about our customers, it is Big data.
Basket Analysis
Over these years since I graduated, I have studied Supermarket/retailer data and willing to introduce it to the Kenyan supermarkets. I call it Basket Analysis. This service is meant to help your supermarket know its customers purchase patterns, thereby maintaining customer loyalty hence increasing sales. With the current payment system and your loyalty card (Bonus card) your database has a lot of data that when analyzed properly can make you the market leader.
Basket analysis can reveal the following about your customers.
- Who are your customers and where are they located?
- What age group are they?
- What is their preference?
- How much do they spend per shopping and
- How frequent do they shop?
- What will he/she buy next and how much he/she spend?
- What is the best way to arrange the shelves?
- What products can be cross promoted together?
These are but a few questions that the Basket Analysis can answer.
Application of basket analysis will greatly increase sales hence propelling your growth. Imagine an instance your supermarket can predict when a customer will shop, how much she will spend and the most possible combination she will buy.
