Types of personalized product recommendations to drive more sales
Use these types of product recommendations to improve the user shopping experience and drive more purchases.
One of the most powerful tools that are usually reserved for larger businesses is personalized recommendations based on past purchases, browsing history, and product type. You probably happen upon these every day. Amazon puts them all over, from your main page to your thank you page, and Spotify knows if you’re more likely to enjoy Dua Lipa or Yves Tumor. But they are giants. Small companies can’t do personalized recommendations, right? It requires data, math, and a whole bunch of boring things that most people don’t want to think about.
That’s where we come in. By using Recom.ai – Upsell & Cross-sell, every merchant can incorporate upsell & cross-sell recommendations across the entire site.
It takes the guesswork out of e-commerce just in three steps:
- First, you install Recom.ai – Upsell & Cross-sell.
- Then, you select the type of recommendations you want to create and set rules which tell the platform which products to display in a widget as recommendations.
- Finally, you hit Publish.
That’s it. We’ll generate personalized recommendations for products your customers may be interested in, saving your time and efforts and enabling such cool things like:
- Introduce your new arrivals and trending stuff
- Highlight best-sellers and Bought Together products
- Offer relevant product at the point of purchase
- Create a Buy One, Get One for A Discount (BOGO) offers
- Promote related and recommended items.
Research shows that our e-commerce tool can help your bottom line. Our users who set up our cross-sell and upsell widgets earn an average of $XXX in extra revenue per month. Plus, you have a 14-day free trial. So why not give it a try?
In this article, you’ll learn which types of product recommendations you can incorporate into your store with the Recom.ai platform.
Recently viewed products
By recommending products your customer has recently viewed, you show them an easy way to go back and buy something they are interested in.
Below you can see an example of how Amazon helps shoppers find products that they have recently interacted with:
Where to implement? The only way to know is to test and make changes according to what works and what doesn’t.
Clarins displays recently viewed product recommendations on the product detail page:
Highlight the newest products within your store. It’s a great way to give exposure to seasonal stuff or new collections you’ve recently added to the site.
Beauty giant Sephora incorporates a “New Arrivals” section into the homepage:
Here’s another example of this strategy for the apparel industry:
The stuff that other customers already love is desirable and so, recommendations that hint at what other customers are also interested in have proven to drive more sales.
As a business owner, you can use your recommendations to provide social proof. Add little badges that show how many people viewed or bought it. Badges like “Cult classics”, “Top sellers”, or “Stuff choice” lend credibility to your products.
Lush features product page recommendations that include “Bestsellers” badges in order to drive interest through social proof:
To welcome visitors, Kiehl’s homepage uses “Customer Favorites” content to inspire and guide them to learn more about the brand and popular stuff:
One of the best strategies that big brands use is upselling. Upselling is a strategy when a merchant offers an upgrade or premium version of the product they are selling. The research shows that upselling increases revenue by 10-30% on average. You can enable upselling on your store with the “Special Offer” pop-up.
These product recommendations are best placed on the cart page. You can highlight products that are similar to the item that the customer is buying and upsell higher-end products to increase the average order value.
Thank you page recommendations
Use the thank you page to remind the customers about the most relevant products browsed. For example, personalized product suggestions are added to Dakine‘s thank you page to lead customers to another immediate purchase on impulse. (Psst, this has contributed to a 44% increase in conversion for the company).
You can also cross-sell products that go hand-in-hand with the product that the shopper has just purchased. Alternatively, you can highlight on-sale products or top sellers that are loved by other customers.
Frequently Bought Together
A customer who buys a phone probably needs a case and some earphones, too. This type of product recommendations is ideal for the fashion industry or electronics e-shops, as their products are often complementary to others or need to be paired.
Take a look at how Asos uses “Buy the look” product recommendations, which has helped increase average order value by 7%:
This is an approach also used by Kiehl’s who suggests sets of related items:
Cart page recommendations
Cart page is a perfect time to recommend complementary items. When the customer has added a product to the cart, they are highly interested in buying from your store. You can maximize their interest by displaying product recommendations on your cart page.
A good way to drive additional purchases is to display “Recommended for you” products at the end of their shopping journey that create last-minute cross-sell or upsell opportunities:
Lots of customers click on a product they are interested in, add it to their shopping cart, but in the next moment, get cold feet and close the tab. Every year, merchants like you lose trillions of dollars to cart abandonment problems.
But you can overcome this issue with personalized product recommendations. Wouldn’t it be nice if you used automated pop-ups to let your would-be customers know about things they’ll probably want to buy?
Kiehl’s displays the “You may also like” section through a pop-ups that are triggered when a shopper clicked “Add to cart”:
Sephora’s tactic includes the addition of a “We thing you also like” block to encourage the shopper to make more purchases:
404 page recommendations
You don’t have to palace recommendations on expected pages. Why not place them on your 404 page and give your visitors an easy way to click back your webstore?
Using “Recently viewed” or “Best Sellers” recommendations can help you turn a bad experience into one of discovery.
Using Recom.ai for product recommendations
You can incorporate personalized product recommendations across your entire website, but do so subtly – with the right strategies in place, you can keep your shoppers on your site for longer, improve their shopping experience, and drive sales without too much effort.
Our experts are happy to help you get the most out of your product recommendations and grow your business alongside your ambitions. Drop us a line at email@example.com for a 1:1 conversation and start recommending today.