Every business is different, so Fresh Relevance provides tonnes of customization options to make your recommendations work for you.

Here’s some things to consider:

What tactic should you choose?
The tactics to use will vary based on the touchpoint that you want to enhance and your overall business goals and unique. When building recommendations in Fresh Relevance the system will automatically suggest our most used tactics, but you can further refine these if you want to take your recommendations to the next level. Take a look at our blog with every tactic we can think of for each of your website touchpoints. Not sure which ones to try? Why not use our automatic optimization tool to let our system test multiple tactics and deploy which works best for your goals

Dynamically personalize to preferences
Fresh Relevance allows you to filter the products that you show dynamically, surfacing the best products for that unique customer, all within 1 piece of content.
Our Best Tag Value filter does just this, allowing you to target a specific category. For fashion that could be showing the relevant line of mens/womens, style or color preferences. For travel it could be destination preferences or departure locations. For publishers this could be content types or even authors. The Product Tags we pick up will be unique to you, and you can find a list in this handy report.

Harness the power of social proof
The wisdom of the crowd is essential to instilling customer confidence in both your products and your brand.

93% of online shoppers check reviews ahead of purchase, so why not surface ratings and reviews in your product recommendations? You can also filter on rating score to only show products that are 4* and above – ensuring you’re getting the best products in front of your customers. Add additional Social Proof  layers with dynamic messaging. For example highlighting product popularity and increasing urgency with scarcity messaging (e.g. low in stock).

Target price points
Like preference personalization, we can filter the products shown in recommendations to display those of relevant price points. Show products within a threshold of their normal browse/purchase behavior (e.g. within 10%), or perhaps show higher priced items to drive your AOV. Our Price Affinity Predictor filter even works for first time visitors and not only aids that conversion but also reduces website bounce rates.

The power of the preview
As we’re aiming to show different products to different customers, we want to preview our setup against a few users to check we’re happy with their suggestions – including unidentified visitors. If you do find that you’re short on products in your preview, check that you have fallbacks active and that you’re not filtering out too many products.

Pop goes the recommendation!
Website recommendations don’t simply have to sit in page, consider using a popover template to trigger on certain actions, such as abandoning your website. Depending on your approach, we support both interruptive and complimentary types of popover. So whether you want to draw attention or give you customer a lighter poke in the right direction, this can be a great way to expose Recommendations without taking up vital page space.