What does it mean to truly personalize and serve recommendations on your Shopify store?

In e-commerce environments, the art of personalization and recommendation is crucial to driving conversions, increasing brand loyalty, and encouraging return visits. All too often, however, recommendations are not deployed to their greatest potential, which can mean a business leaving money on the table where they otherwise would have increased average order value.

Indeed, recommendations can mean so much more than just a carousel of related, new, or trending items on the homepage. Using the Crossing Minds platform, recommendations can be deployed across a variety of use cases, ensuring that a store is able to maximize its efforts to keep customers engaged and boost overall conversions. Learn more about all the places and ways that recommendations can be launched within your business’ online ecosystem.

Homepage Recommendations

Product Recommendations

A straightforward application displays the most relevant items to your user based on their profile and taste with a “for you” selection of items. Given a user ID, the API returns items that match the profile of this user. This is the most common endpoint to serve recommendations to users already in the database.

Some of the most common use cases for deploying recommendations would be directly on the homepage:

• Curating a unique "For You" carousel for each user on your website’s homepage
• Recommend a custom list of items for each user based on contextual and behavioral data
• Other areas to consider personalizing are: "New Arrivals" and "Our Favorites" since our content based models can solve for the Cold Start problem.

Collection Recommendations

While recommending specific products to users is an effective strategy, suggesting entire categories or collections within the personalization process can also have a significant impact on conversion rates. When a user is browsing a specific category, recommending additional products within that category can lead to a higher likelihood of a purchase. Moreover, recommending products in complementary categories can further encourage users to explore other items and potentially make additional purchases. The Crossing Minds API's recommendation engine takes into account not just the user's behavior but also the relationships between different categories and collections to suggest the most relevant products. By incorporating category and collection recommendations into the personalization process, businesses can increase their chances of converting users into customers.

Product Detail Page (PDP) Recommendations

Product Detail Page (PDP) recommendations play a crucial role in guiding users towards making a purchase. Once a user has clicked on a specific product, it is essential to continue providing them with relevant suggestions to keep them engaged and increase the likelihood of a purchase. The Crossing Minds API's PDP recommendations take into account the user's browsing and purchase history, as well as product relationships, to suggest additional products that the user may be interested in. By providing targeted and personalized PDP recommendations, businesses can keep users engaged and increase the likelihood of converting them into customers. Additionally, incorporating PDP recommendations can lead to increased average order values and repeat purchases, as users are encouraged to explore additional products and make further purchases.

Product Listing Page (PLP) Recommendations

In today's fast-paced e-commerce landscape, providing customers with a personalized shopping experience is crucial. The dynamic filtering feature combined with personalization provided by Crossing Minds enables businesses to tailor their product listing pages (PLP) to each user's unique preferences.

By utilizing browsing and purchase history data, businesses can customize their PLP to display products that match the customer's interests. The dynamic filtering feature allows businesses to adjust the PLP in real-time, ensuring that the displayed products always align with the customer's changing needs and preferences.

Personalizing the PLP based on a user's behavior leads to higher engagement and conversion rates. The recommendation engine provided by Crossing Minds suggests complementary products to customers based on their current browsing or purchase history. This leads to increased sales and revenue for businesses.

Businesses can take advantage of the powerful tools provided by Crossing Minds API to deliver personalized shopping experiences that cater to their customers' unique preferences. With dynamic filtering and a recommendation engine, businesses can drive engagement, improve conversion rates, and ultimately grow their revenue. Contact us today to learn more about how Crossing Minds can transform your e-commerce business.

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Cart View Recommendations

When a customer advances to the cart in preparation of checkout, Crossing Minds’ API is able to deploy recommended items related to what is already in the cart. This can include upsell recommendations or intuitive bundles based on the item (e.g., an umbrella to go with a pair of rain boots).

Moreover, those recommendations can be both deployed through a cart-drawer or a classic cart page.

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Post-Checkout Recommendations

After a customer checks out on your site, Crossing Minds can provide recommendations for other items that would align with what was already in their cart and add them seamlessly, increasing the average order value in addition to the chances of return business and future purchases.

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Shipping or Order Creation Page

After a user has completed a purchase and the order has been created, Crossing Minds is able to immediately reengage the customer with items from your store. By deploying recommendations on this page, you can start the buying journey all over again before they have a chance to navigate away from your site.

Omnichannel Recommendations

As online businesses continue to grow, the importance of deploying personalized recommendations that accurately reflect user behavior and preferences has become increasingly vital. However, many companies still struggle to deploy personalized recommendations effectively, leading to missed opportunities for customer engagement and revenue growth.

One of the most significant challenges companies face when deploying personalized recommendations is ensuring consistency across different touchpoints. This means ensuring that the same recommendation model is used across all channels, from email campaigns to website personalization, to ensure a seamless experience for customers.

Using the same recommendation model across different touchpoints is crucial for several reasons. Firstly, it ensures that users receive consistent recommendations, regardless of where they are in their customer journey. For example, if a user receives a personalized product recommendation in an email campaign, they should see the same product recommendation when they visit the company's website.

Consistency also helps to build trust and brand loyalty, as customers will come to expect personalized recommendations that reflect their preferences and behavior, regardless of the channel they are using. This helps to create a more seamless experience for the user, increasing engagement and driving revenue growth.

Deploying the same recommendation model across different touchpoints also helps to improve the accuracy of recommendations. By leveraging data across all channels, the recommendation engine can more accurately identify user preferences and behavior, leading to more targeted and relevant recommendations.

However, deploying the same recommendation model across different touchpoints can be challenging. It requires careful coordination between different teams, including marketing, customer service, and product development. It also requires a robust recommendation engine that can handle data from multiple touchpoints and provide accurate recommendations in real-time.

At Crossing Minds, we're dedicated to providing our customers with the most advanced and powerful recommendation engine on the market. Our recommendation engine is designed to seamlessly integrate with different touchpoints, providing a consistent experience for users and delivering accurate, targeted recommendations in real-time.

By deploying the same recommendation model across different touchpoints, companies can improve the user experience, build trust and loyalty, and drive revenue growth. Contact us today to learn more about how our recommendation engine can help you transform your business and deliver personalized recommendations that engage and delight your customers.

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Email Recommendations

Crossing Minds can deploy recommendations sent to users via email, providing User-to-Item recommendations while ensuring the removal of low-value items. These recommendations are more effective at converting than basic “popular items” or “new items” recommendations.

SMS Recommendations

We can also deploy user-to-item recommendations via SMS/texts to users. The text can contain either a link to a page with the suggested items or have the items directly in the text itself.

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