Dynamic recommendations answer one highly valuable consumer question
Dynamic recommendations answer a valuable question for customers: ‘Based on who you are, what should you do next?”
As Senior Director of Client Services, Kyle is responsible for helping major clients implement new programs, processes, and data-driven strategies to create campaigns that drive revenue. With a passion for technology implementation and a background in database, email, web, and social media marketing, Kyle turns his real-world experience into actionable tactics that help clients see incremental revenue, subscriber engagement, and customer retention. A lover of all things Chicago, when Kyle is not reading up on latest marketing practices or focusing on improving client programs, he can be found enjoying the city’s great restaurants or wearing his heart on his sleeve while rooting for all Chicago-based sports teams. A curious individual willing to try any and every food that does not include raw onions, he is always looking for exciting dining options and new adventures around the city.
Dynamic recommendations are highly relevant marketing communications that suggest the next action customers or prospective customers should take based on insights such as demographics or browse and purchase history.
Brands offer many dynamic recommendations that may sound familiar. Just a few include:
There’s an array of data marketers can use to determine what to recommend for specific customers. For simpler dynamic recommendations, marketers can take into consideration general characteristics such as gender, age, and location (for instance, mountain versus city dwellers). More complex recommendations can utilize factors like: