If you’re just getting started with personalization, you might be wondering what types of product and/or content recommendations might help you with your marketing team’s web optimization strategy.
To learn more about these approaches and practical ways to apply them to your digital marketing strategy, watch the video below.
There are several reasons why marketers want to share product and content recommendations. They might want to ensure that visitors are seeing more ads, moving further through the sales funnel, or giving marketers some information about them in return.
Marketers might do this through a number or ways, including:
- Frequency: Using the frequency of relevant activity to drive what you show a prospect. Examples include: visited a category more than X times, frequently visited categories, or viewed a product more than X times.
- Recency: You might also use recent behavior to help you determine what to show a prospect. Some common examples of this include: showing recently viewed items, showing recently purchased or downloaded items, or showing recently viewed categories.
- Popularity: Using recent purchases, votes, or positive signals to increase popularity. Older purchases, votes or positive signals count for less than recent ones.
For more an even deeper look into advanced product and content recommendations, check out techniques that delve into user-based, item-based, and content-based recommendations, as well as collaborative filtering, in the video below.