Customer satisfaction must always be the priority of any merchant, and one way to do this is through knowing the diverse product recommendation examples. Shopify product recommendations are sales strategies where you can utilize the entire data-driven algorithms to suggest products that buyers might be interested in.
Shopify product recommendation engines can seamlessly suggest relevant and personalized products or services to individual shoppers based on browsing behavior, shopping purchase history, and preferences.
In this blog, we will cover more about product recommendation examples and and effective strategies for better Shopify store operation:
Best Shopify Product Recommendation Examples
When shopping, customers have one goal: hit a satisfactory feeling. They tend to explore an online store when they discover some relevant products that will satisfy their shopping experience. A study by Retail Customer Experience suggests that around 63% of consumers want personalized recommendations on Shopify.
They ultimately expect stores to understand their behaviors and interests even without them directly asking for it. If you want to begin your product recommendations journey, here are some product recommendation examples for your reference.
Similar Products
You can commonly notice this in an ecommerce store, as similar product recommendations allow your customers more options based on the product they were browsing. This product recommendation strategy automatically suggests products that are somehow similar to the product on the current page. Similar product recommendation lets shoppers find the one that best suits their needs.
Nicobar Store, a lifestyle brand, use a similar product recommendation widget to boost user engagement and easily provide their customers with choices without the need to move from page to page.
Best-Sellers
Among the product recommendation examples is the best-selling product recommendation. These are those items that are trending with other online buyers. These could be your most browsed or most frequently purchased items at the moment.
This exercises the social proof concept, as it is believed that most people follow the actions of the majority. Once someone sees that this certain item has been purchased by many, the probability of that customer buying the same item is seen to be higher than expected. This is particularly important for any ecommerce store, as without the chance to try on, touch, and see actual products, customers are more likely to be influenced by other customers’ opinions or reviews. You can include star ratings in product suggestions to strengthen the social proof.
New Arrivals
A high value purchase significantly impacts your business’ sales. This is sometimes generated from the new arrival items. The “new arrival” tactic suggests the latest products to be made available across the online store. You can also use this as personalized recommendations in the browsed category or from the shopper’s favorite category for them to easily see it.
Recommending your newest products also establishes excitement around the shopping experience of the customers. This is particularly true in sectors driven by fast-moving trends like fashion, technology and beauty.
The latest product recommendations work well on the homepage, where most shoppers start their shopping journey. It can also be applied on the product’s category page and can be filtered to show new arrivals in the shopper’s most preferred category.
Related Products
One product recommendation example is using the related items for your own advantage. Note that this is different from the similar product list. This example of recommendation suggests products that are related or complementary to the product currently viewed by the shopper. For example, if a customer is looking at a trouser, related product recommendations may include different types of belts. It can be used to encourage shoppers to buy items that complement or work well with the one they are originally browsing.
This product recommendation type can be used to increase your average order value in order to boost your store sales.
You can also visit these Shopify website examples and assess how they make use of the above examples. Make time to observe each, especially those with the same niche as yours.
Benefits Of Shopify Product Recommendations
Boost Sales
These product recommendation examples ease the movement of items from your store to your customers’ checkout cart. Product recommendation is one effective way to uplift your sales without spending much on promotional ads. Studies have shown that product recommendations account for 31% of ecommerce sales.
Try to emphasize the top-performing as well as relevant products so people discover what products are popular with others. Incorporate the product recommendation examples above in the most impactful way possible.
Enhance Customer Experience
Personalized recommendations ultimately make the whole shopping journey more interesting, enjoyable, and convenient for your customers. They discover and have the opportunity to explore products that perfectly align with their preferences.
Personalization has evolved from simple nice-to-have items to much-needed products for ecommerce retailers. Online store visitors are more likely to stay longer on your site out of curiosity fueled by your product recommendation tactics.
Personalized product suggestions are a very effective way to provide relevant customer experiences that can quickly lead to increased engagement. To position your item recommendations, you need to know your customers, and know your unique offerings.
Increase Average Order Value (AOV)
The use of customer data to provide personalized cross-sell and upsell suggestions can increase how much a buyer spends with you in just one transaction. Relevant product recommendations trigger some shoppers’ desire to add more items to their shopping carts.
There will be times when shoppers, who are highly engaged with their purchase, will be ultimately interested in increasing their spending to buy complementary products.
Eliminate Shopping Cart Abandonment
Adding items on the cart page doesn’t guarantee sales. Some buyers tend to change their minds even after putting their picks on the cart.
Any item that enters the shopping cart but doesn’t make it through the transaction is considered to be abandoned by the customer.
The shopping cart abandonment rate can help ecommerce sites track user experience or any possible factors that could lead to this. Reducing shopping cart abandonment leads directly to more sales and revenue.
To do this you can create an abandoned cart email campaign and include a friendly reminder to customers of what is inside their cart. You can also add further product recommendations for similar or complementary items in your email templates.
Product Recommendation Strategies to Attract Customers
Promote daily offers
One way to let shoppers know that you are active is to update your featured products regularly. This shows that your online store is still in the game and that you have fresh deals allotted for everyone. This somehow gives customers a push to frequently visit your site since they want to see what is on sale every single day.
Meanwhile, if your offer is only valid for a limited time, let your visitors know about it as it can add a sense of urgency that can help force shoppers to buy now.
Data shows that 64% of online shoppers patiently wait to buy things until they go on sale, and more than 59% search for promo or discount codes before actually buying anything online. Consistently displaying product recommendation offers on your homepage helps increase store sales by saving your visitors the effort of manually finding and tracking down your deals themselves.
Utilize Customer Shopping History
You can put recommendation engines to make use of customer data on your homepage. Product recommendations create a feeling of familiarity. Shoppers start on one product, go through to another, get distracted by another relevant item, and before they know it, it has already been hours of browsing and scrolling.
This certain pattern helps shoppers to stay on your site longer, you capture their attention and engage them with recommendations for products they had not expected to find.
Use Direct Wording
Some commonly used direct wording examples include “You may also want to look” or “You may also be interested in.” Using the simplest exact words that translate what you truly want to convey can attract more consumers into clicking that certain recommendation.
Don’t persuade shoppers by bombarding them with words or phrases that they might find difficult to understand at first glance. Note that some shoppers don’t actually have long hours to shop, providing them with detailed yet short phrases can positively impact their entire shopping journey.
Research and look for the best Shopify theme that can suit your voice and mission. If you have already seen some store inspiration, try to check the Shopify theme detector to know what they are using. For instance, if you aim for a friendly approach to your consumers, your store’s ambience should contribute to that. This way you can properly construct the wordings you need for selling and product recommendations as well.
Incorporating Machine Learning Models
Integrating machine learning algorithms into your product recommendation system influences the potential of customer data. These algorithms can process vast datasets and create patterns as well as relationships to generate more precise and sophisticated recommendations for each buyer.
Machine learning algorithms learn from customer interactions, continuously allowing them to successfully adapt and enhance their suggestions from time to time. One advantage of machine learning-based recommendations is their ability to handle more complex schemes. They can determine subtle correlations between different products, offer real-time item recommendations, and even predict the customers’ preferences, especially for products they have not previously interacted with.Â
This upgraded level of personalization contributes to strengthening customer engagement and driving more conversions to the online shop.
Use Geo-Location Targeting
Geo-location targeting recommends items based on the visitors’ location. Suppose you have a clothing store, and a shopper from Canada pays a visit.Â
Well, the majority of the months in Canada are extremely cold. Therefore, the product recommendation system will suggest a winter wear category suited to that shopper’s current location.Â
Product Recommendation Apps for Shopify
Product recommendation applications are software made in order to help you show personalized product recommendations on every page of your online store. Often, merchants use different technologies and sets of algorithms to acquire and display relevant products to your store visitors.
These apps select products based on data collected from shoppers’ shopping activities, including their searches, frequently-visited items, the set of products they usually buy together, and unique behavior that sets them apart from others.
Adoric
Adoric’s Product Recommendation helps you generate more sales through the use of custom campaigns that can boost your conversion rate. You can set these recommendations live on several different pages on your Shopify website, starting from where you think it can be most impactful.
Suppose, you install Adoric on your Shopify store, you can track Direct sales and Assisted revenue, impressions, clicks, and click-through rates (CTRs) on your campaigns.
Adoric’s Recommendation boosts your AOV, reduces bounce rates, and fuels your shoppers’ interest in your wide range of available products. You can customize your campaigns to display on your Shopify store’s home page, collection page, product page, or cart page by using smart filters, detail targetings, or design customization tools.
Adoric’s fully automated and ready-to-use widgets allow you to add features like Related Products, Frequently Bought Together, Cart Recommendations, Cart Upsell, Free Shipping Bar, Spin the Wheel.
Pricing
Adoric offers a free trial service for 14 days to sample the app on your Shopify store. Actual pricing varies with your average monthly store orders. It starts at $5 a month for every 50 store orders.
Merchants Review
Overall rating: 5 out of 5
Merchants seem to really appreciate this app due to its customizable features that enhance sales and marketing, including product recommendations. Its user-friendly interface, also lets business owners track their campaign success easily.
Aside from the product recommendation feature, customers commend the responsive and efficient customer support, which makes everything as smooth as possible. The app’s generous free plan also makes it very much suitable for all store sizes. Merchants reported increased conversions, engagement, and store revenue.
Personalized Recommendations
Personalized Recommendations by Glood.AI is ideal for merchants both starting and already developed ones. This app offers all the product recommendation features that suit your store no matter what your goal is.
Besides the use of AI for recommendations, this app also offers other AOV boosters such as the checkout funnels and smart popups to increase total store revenue.
Pricing
The Basic starts at $19.99/month for more than 10,000Â product displays. Pro Plan at $69.99/month for more than 100,000 product displays Meanwhile, Plus Plan at $299.99/month for 500,000 product displays.
For those curious merchants out there, luckily, it offers a free forever plan with a 14-day free trial period for the paid plans.
You can also check out Shopify’s free product research tools for more in-depth learning before actually choosing what product recommendation tool is best for your business goals and status. You cannot just install a tool without looking at the bigger picture of your store. Other apps also have the capacity to be your guides that will lead buyers to your store.
Conclusion
Displaying recommended products in your store makes it easier for your customers to discover new items that can lead them to buy more products than they initially intended. Whether you choose to create your shop with the Shopify website or build a custom website, these product recommendation examples will surely increase your online store sales.
With the right strategies, you can completely transform the way your customers interact with your business. You can create a polished and consistent experience that can also influence conversions, average order value, and brand trust for good.
