, (2011), in order to effectively determine the NBO, it is important to collect personal data about the customers from their names, sizes, physical address, phone numbers, occupation, salary range, number of children, ages of the children and of the customer among many others. All these can be collected from their social media and personal data on file in the online stores and then use the same to predict their purchase context and pricing range of their shopping and products. A perfect example provided in the article is where a person purchasing diapers can have an NBO of wipes, powder, beer among others all of which accompany the baby products which the person is in need of without realizing it.
In order to know the customer even before they make the purchase of the items, it is important to examine their buyer behavior first a few times in order to get a grip about what they like to purchase, in what quality and quantity, their favorite or preferred brand and the duration between one purchase and the next (Kotler & Armstrong, 2015). All these is important to predict the buyer behavior and hence be in a position to offer then an NBO the next time they are online just as a way to not only advertise the products but tempt them on what else they might need.
Once enough personal data has been gathered about a shopper, the next step is to execute the advertisement and promotion. The person may start receiving the NBOs in their emails; receiving phone calls about the same, notifications in their social media accounts among other online places they frequently visit (Davenport, Mule & Lucker, 2011).
All these are in an attempt to make them purchase more than what they need or have planned for or make them aware of new product in the market, new prices and even new promotional offers (Kotler & Armstrong, 2015). In order to make it even more interesting and tempting, numerous discounts and advantages such as reward points can be provided which can then be redeemed in ...