Product Recommendation Model

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 may encourage some customers to click through, most expect emails to be 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 recommendation emails, it’s important to match the recommendation model to your campaign objective.

Optimove Recommendation Models

Optimove offers several recommendation models, including:

• Collaborative Filtering – Recommends items based on customers’ previous purchases and the purchases of similar customers.
• External Recommendations – Leverages recommendations from an external data source.
• Realtime, Dynamic Recommendation Emails – Populates recommended content in real-time upon email open using DynamicMail from external sources.
• Customized Recommendations – Tailored to any brand by Optimove’s Professional Services team.

Collaborative Filtering

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

External Recommendations

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

Realtime, Dynamic Recommendation Emails

With DynamicMail, you can deliver real-time, dynamic recommendation emails that incorporate the above recommendation models and populate recommendations upon email opening, elevating the customer experience. Brands can also embed dynamic interactive content, such as a countdown timer to increase urgency when sending a recommendation email.

Customized Recommendations

Customizing a brand’s recommendation model allows for sophisticated, unique use cases. With assistance from Optimove’s Professional Services team, brands can customize any of the above recommendation models or create a bespoke model. For example, the team can create a model that recommends newly released products or products based on customers’ browsing behavior.

While recommendation emails play a key 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.