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Product Recommendation Model

Heather
  • Updated
Encouraging customers to visit your site and convert (make a purchase or deposit) is typically the main objective of many marketing campaigns. 
 
While sending a campaign with an assortment of products from your site may encourage some customers to click through to your site, the majority of customers expect your emails to be more personalized. 
 
By adding personalized recommendations to your campaigns, you can increase the likelihood of a customer returning to your site by 300% and reduce the unsubscribe rate by 65%. 
 
To optimize the performance of your recommendation emails, it is important to match the recommendation model to the objective you would like to achieve. 
 
Optimove offers several recommendation models, including: 

Collaborative Filtering

Exposing customers to recommended products, that customers are likely to respond well to is a great way to both keep a customer engaged with your brand as well as increase their average future value. Leveraging the collaborative filtering algorithm, you can easily personalize recommendations by displaying the products that are most suited for each customer.

External Recommendations

Brands that have their own product recommendation engine, can use those recommendations, along with any other customer attribute in Optimove to contextualize and maximize their personalization efforts. 

Realtime, Dynamic Recommendation Emails

With DynamicMail, you can deliver a real-time, dynamic recommendation email that not only incorporates a number of the abovementioned recommendation models but also populates recommendations upon email opening, to take the customer experience to the next level. Brands can also embed dynamic interactive content into emails.

For example, brands can increase the sense of urgency when sending a recommendation email by including a countdown timer to when the offer will expire.
 

Customized Recommendations

Customizing a brand's recommendation model allows them to execute sophisticated use cases that are unique to its needs. With the assistance of the Professional Service team, brands can customize any of the abovementioned recommendation models, or create a bespoke recommendation model. 

For example, the Professional Services team can create a model that recommends newly released products, or that recommends products based on customers’ browsing behavior. While recommendation emails play an important role in customer retention and lifetime value, using the most appropriate recommendation model for your objective will maximize your efforts. 
 
To learn more about Optimove’s recommendation models, contact your Customer Success Manager.

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