Personalization that goes beyond existing standards
Personalization is an essential component of any data-driven business strategy, allowing companies to build the best customer journey and create a lasting relationship with them. Properly identifying customers' needs and desires is key to creating effective personalized communications for them in a variety of forms, one of which may be product recommendations.
With our new improvements, you will take your recommendation campaigns to the next level! The new enhancement unlocks a unique spectrum of recommendation marketing strategies. Let's take a closer look at the details of the new developments.
Filtering and Boosting with Aggregates and Expressions
Aggregates and expressions are powerful tools as they allow you to draw deep behavioral insights and extract the most valuable information necessary for executing any business scenario. Now you can start using aggregates and expressions in your recommendation campaigns, creating personalized messages that are aligned even better with your customers' needs and intentions.?
Let's walk through some inspiring use cases that reveal the capabilities of this new solution.?
Adding products to favorites allows users to become more attached to a product, making it easier for them to return to it to make a purchase later. Marketers also benefit from this practice as they gain insight into customers' favorite products, including additional information about colors, branding, style, and other attributes that describe the product.????
Imagine boosting products that users have added to their favorites in your recommendation campaigns. This way, you're introducing customers to products they genuinely like early on, increasing the chance of conversions and boosting revenue.
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Check out this case to learn how to create personalized recommendations with filters that boost the products customers have added to favorites.
Considering every customer's behavior is essential when creating personalized recommendations. In addition to boosting, it is also worth considering excluding products that meet specific business criteria.?
An example of such criteria is categories of products purchased by the customer within a defined period. Excluding categories of recently purchased products will allow the customer to discover other products that may not have previously caught their attention and encourage them to get familiar with these offers.?
From this use case, you will learn how to create a personalized recommendation campaign that uses an aggregate to exclude categories of recently purchased products.?
For more detailed information on using aggregates and expressions when creating recommendations, see our Help Center.
The variety of possible uses of aggregates and expressions in recommendations is wide. It allows you to introduce previously unimaginable scenarios that can change your organization's existing recommendation generation strategy and how you approach customers.?
Start using the new personalization capabilities now and enjoy the results from the implemented solutions!?