Being able to react in real time to reach a potential client is a good thing, but being able to predict the next “buying moment” before it actually happens? It’s even better.
What every retailer wants is to reach the customers with the strongest buying intentions. Meaning, they want to find customers who are actually ready to purchase when shopping online.
But what if you could predict this moment before it even occurs? What if you could anticipate the next time when your audience will want to buy something? This would make a real, significant difference and it would widen the gap between you and your competitors.
One way of achieving this is to refer to complementary products. By analysing what a customer purchased in the past, you can easily recommend products that complete what they bought before. For example, someone who just purchased a laptop is likely to need a laptop case at a later stage.
Another way for retailers to be predictive is to keep track of the purchasing cycles. Let’s take a shoe brand for example. By analysing the data related to a previous purchase, the brand can determine when those shoes will need replacing, and then get in touch with their customer even before he starts browsing for a new pair.
In other words, anticipate the customers’ needs and don’t settle for being reactive when you can be proactive.
Learn more on how to reach shoppers in the moment before purchase. Download our ebook today.