Post by account_disabled on Dec 7, 2023 4:00:12 GMT
You need to distinguish between regular customers and people making a one-time purchase. This is true, but it is worth knowing what exactly is behind such a single purchase! Imagine a sports club that is about to play its last match of the season. Let's assume that John, one of the fans, recently registered on the club's website and bought a ticket for the upcoming match. This does not mean, however, that he is a one-time buyer. He just didn't have time to make another purchase now because the season was ending. He should therefore be considered a recent purchaser rather than a one-time purchaser.
On the other hand, if you read the statistics from previous Email Marketing List seasons,, who last bought a ticket three years ago and it was her only purchase. So you can classify her as a one-time buyer. Context matters - John and Anna should be treated differently, even if your database lists the number of purchases as one for both names. Challenge : beyond transactional data So far, we have discussed cases where historical and transactional data play an important role in defining segments.
While it's worth focusing on demographics and purchasing history when examining potential growth areas, it's not entirely clear why a customer buys a particular product or chooses a particular brand. However, if your client often buys dresses, it is definitely worth sending her a discount code for a new collection! But that's not all. Ultimately, it's not just the design and price of the product that counts. Perhaps the customer in question cares about the environment.
On the other hand, if you read the statistics from previous Email Marketing List seasons,, who last bought a ticket three years ago and it was her only purchase. So you can classify her as a one-time buyer. Context matters - John and Anna should be treated differently, even if your database lists the number of purchases as one for both names. Challenge : beyond transactional data So far, we have discussed cases where historical and transactional data play an important role in defining segments.
While it's worth focusing on demographics and purchasing history when examining potential growth areas, it's not entirely clear why a customer buys a particular product or chooses a particular brand. However, if your client often buys dresses, it is definitely worth sending her a discount code for a new collection! But that's not all. Ultimately, it's not just the design and price of the product that counts. Perhaps the customer in question cares about the environment.