Enrich the Algorithm with Business Input
To enhance the algorithm, you need to enrich it with your business input. This means translating your objectives into product recommendations that align with individual customer journeys. For example, if a customer buys a pair of dress shoes, you might recommend maintenance spray or suggest a different type of shoe, such as sneakers, rather than recommending the same dress shoes again. The algorithm needs this type of input to learn and improve over time, resulting in more personalized recommendations that align with your objectives.
Coffee and Wine: Understanding the Difference
Another example is the difference between coffee and wine. Although both are beverages, the customer journey for each product is different. Customers tend to stick with the same coffee brand and type, while wine customers enjoy exploring new flavors. An algorithm needs this understanding to make personalized recommendations that align with individual customer needs.
Your Knowledge, Your Customizations
Personalization is powerful when applied correctly, and it requires a collaboration between humans and technology. You have unique knowledge of your market and how to win and retain customers. By customizing your personalization efforts, you can meet the individual needs of your customers and achieve your business objectives.”