Ready to turn your e-commerce site into a sales-making machine? Learn how personalized product recommendations can increase conversions and leads.
When you shop for clothes, furniture, or truly anything retail-related, most times a sales clerk or store employee will suggest a different piece of clothing or furniture to go with what you are looking at. “This top will go amazing with those jeans!” or “This coffee table matches beautifully with the couch you're interested in.”
These employees have been trained to close the sale and increase the average order value (AOV) by using a tactic as old as retail itself: personalized product recommendations. Sound familiar?
This is a tactic that is now being embedded on e-commerce websites. Your product recommendation quiz might just become your new best employee and be your best seller. Let’s get into what a product recommendation quiz is, why they are beneficial, how they work, some examples, and more.
Product recommendations are computer-generated insights that fuel personalized user experiences for customers on any online store. Product recommendation algorithms use zero-party data from previous customer purchases, interactions with the website, product reviews, and other customer behaviors to customize experiences based on what shoppers have interacted with in the past (or would be likely to interact with in the future).
Product recommendations help improve the overall user experience and the customer journey, resulting in a more engaged customer base and higher conversion rates by recommending relevant products.
Product recommendations are an invaluable tool to increase sales and engagement on your site, as they can help customers find products they might be interested in faster than if they were to manually search through the entire inventory themselves.
Product recommendations also help lower customer acquisition costs, as customers who rely on them are more likely to make multiple purchases. They can also help social media campaigns become more effective by delivering related product offers and relevant recommendations to customers for better engagement.
Like every experience type at Jebbit, having a product recommendation quiz on your e-commerce site delivers six types of genuine value to the shopper:
All on-site!
Sounds like a pretty sweet deal, right? The other best part is, you can optimize your experience as much as you’d like. Leverage all of the other eight experience types Jebbit has to offer, and A/B test them all to see which types work best on your homepage or product pages. You can embed these experiences anywhere you can place a URL!
Product recommendation algorithms process customer data to provide customers with tailored product suggestions. Data points such as past purchases, browsing history, and product categories viewed are collected from customer activities to form a unique profile for each individual user. Product recommendations will then be tailored based on the user’s profile of interests, enabling brands to deliver better experiences for shoppers with personalized product suggestions.
Some examples of product recommendations include:
To give a real-life example, it's as easy as creating an on-brand digital experience in Jebbit's platform and asking the customer questions. For example, if you have a skincare brand, you might ask questions along the lines of:
By embedding this engaging experience on your e-commerce website, customers can tell you exactly what they are looking for, which makes it as simple as that to provide them a product based on their needs. A seamless, painless experience for both parties. And then just like that, into their shopping cart it goes!
When there are several options for customers to choose from, usually people have a hard time picking a product. That’s why a little personalization goes a long way and gives the shopper that confidence boost they need to know they’re choosing the right product and then checkout.
With Jebbit's product recommendation experience, you'll capture attributes based on your customer's answers and preferences. This enables you to build custom segments based on those attributes to power personalized remarketing.
Also, don't forget, Jebbit offers a NO-CODE builder. So marketers can create quizzes and interactive experiences while saving time, money, and the pains of building in a custom environment.
Let’s take a look at a case study with one of our awesome clients leveraging Jebbit’s product recommendation quiz on their site and see their results. They even optimized this quiz to see even greater results. Optimization is key after a couple of test runs!
Vegamour used Jebbit's Zero-Party Data Platform to create a Product Recommendation Quiz that educates consumers about the value of their products. By asking questions to better understand their hair type, Vegamour was also able to recommend the most relevant hair care products for them.
By using Jebbit’s no-code platform, Vegamour was able to quickly A/B test different ways to make their quiz more user-friendly and found that adding additional steps led to higher online conversion rates. Now, with their long-form quiz that was developed using measurable insights, Vegamour is able to learn more about their customers and better serve their needs.
Once embedding their 17-question hair care Product Match quiz on their website, Vegamour saw:
There might be different types of product recommendations, but wouldn’t you want to leverage one where it practically does the work for you? Embed it on your e-commerce platform or any channel where you have high traffic, and then sit back and watch those results skyrocket in real time.
When it comes to leveraging product recommendations in your e-commerce strategy, it’s important to remember that personalization is key. Product recommendations should be tailored to the individual customer, taking into account purchase history, interactions with the website, and other relevant data points. Additionally, they should be integrated into your email campaigns and social media strategy for maximum impact.
Jebbit’s Product Recommendation Engine helps you personalize the user experience and increase customer engagement. The engine uses data-driven algorithms to deliver tailored recommendations based on customers' past interactions with your site as well as their demographics, interests, and purchase history. Jebbit's Product Recommendation experience can be easily integrated into your existing e-commerce platform, allowing you to quickly and easily engage with customers in a more personalized way.
With Jebbit’s Product Recommendation experience, you can improve customer experiences by providing tailored product recommendations that match each individual’s needs. This can help increase customer loyalty, reduce customer acquisition costs, and maximize the ROI of your social media campaigns. By leveraging Jebbit’s Product Recommendation experience, you can make sure that your customers are always receiving the best possible experience on your site. Get started on your product recommendation journey now!