Every business is unique, which is why Fresh Relevance offers a plethora of customization options to make your email recommendations truly top-notch.

Here are some key aspects to consider:

Keep the tactics relevant
The tactics you employ should align with the specific email touchpoint you wish to enhance. Think about your business goals and your customer base when deciding on which tactic is right for the campaign.When creating recommendations in Fresh Relevance, our system automatically suggests the most popular tactics, but you can refine these further to elevate your recommendations. Check out our blog which covers every tactic imaginable for each of your email touchpoints. Unsure about which ones to use? Try our Automatic Optimization tool to let our system test and deploy the best-performing tactics for your objectives.

Personalize based on customer preference
Fresh Relevance enables you to dynamically filter the products shown in your email recommendations, presenting the most suitable options for each unique customer. Our Best Tag Value filter allows you to target specific categories, such as fashion styles, travel preferences, or content types, depending on your business. Your Product Tags will be exclusive to your brand, and you can find a list in this helpful report.

Leverage Social Proof
Social proof is crucial for building customer trust in your products and brand. Since 93% of online shoppers consult reviews before making a purchase, why not include ratings and reviews in your email recommendations? You can also filter products by rating score to showcase only top-rated items. Enhance your social proof further with dynamic messaging, such as highlighting product popularity and creating a sense of urgency with scarcity messaging (e.g. low in stock), especially when there has been an intent to buy.

Target specific price points
In addition to personalizing preferences, you can filter email recommendations to display products within relevant price ranges. Showcase items that fall within a certain percentage of a customer’s typical browsing or purchasing behavior, or feature higher-priced items to boost your average order value (AOV). Our Price Affinity Predictor filter works even for first-time visitors, helping to increase conversions and reduce bounce rates.