As mentioned in a previous article,
more women than men are using online
shopping services to buy products and most consumers choose to browse and
complete purchases from their smartphone. Another important factor that should
be considered by merchants is that customers expect a personalised experience.
Online shoppers anticipate retailers
to offer them a frictionless shopping
experience, to know their purchase history, preferences and to implement
services that meet their expectations. Statistics reveal that businesses lose
$756 billion per year by not introducing onsite customisation. 41% of women believe that personalised
product recommendations will be the norm in the future. This shopping
experience can have a powerful impact. It can lead to customers spending twice
as long on a website. Moreover, merchants might enjoy 18% higher order value
and 133% higher conversion rate.
Creating customised platforms can be
quite challenging. However, retailers can use artificial intelligence to create behavioural profiles from big data sets. For
instance, they can learn about shoppers’ location, their individual tastes and
preferences, price sensitivity, brand history and purchase history. These
details can be used to display product
recommendations that customers will feel attracted
to and to automatically update content that reflects their preferences. Thus,
clients will feel understood and appreciated and this drives loyalty.
Customers seek personalised
recommendations
Comments
Post a Comment