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    Step by Step Creating Product Recommendations in Klaviyo

    Last Updated | January 16, 2024

    In the world of e-commerce, every business owner wants to increase their sales and revenue. With so many competitors in the market, it can be challenging to grab the attention of potential customers and make them loyal customers.

    But what if we told you that there is a feature that can help you achieve this? Yes, we are talking about the product recommendation system for eCommerce with Klaviyo for Shopify plus Store.

    In this blog, we will talk about a step-by-step guide to using this feature. Also, we will discuss how Klaviyo product recommendations can help e-commerce businesses increase their revenue and improve customer loyalty.

    Step by Step Creating Product Recommendations in Klaviyo for Your Shopify Store

    In this section, we’ll guide you step-by-step on how to create the best eCommerce product recommendations in Klaviyo for your Shopify store in simple steps without any Shopify Migration services technique. You can set it up yourself without help from a Shopify development company.

    Step 1: Set Up Your Klaviyo Account

    The first step in creating product recommendations in Klaviyo is to set up a Klaviyo account. If you haven’t already, sign up for a free trial account on the Klaviyo website. Once you have your account, you’ll need to integrate it with your Shopify store development. This is a straightforward process, and Klaviyo provides detailed instructions on how to do this.

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    Step 2: Select A Product Recommendation Template

    Once your Klaviyo account is set up and integrated with Shopify, it’s time to select a product recommendation template. Klaviyo offers a variety of templates specifically designed for product recommendations, so you can choose the one that best fits your brand and the message you want to communicate to your customers.

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    Step 3: Create A New Product Recommendation Email

    Now that you’ve selected your template, it’s time to create your product recommendation email. To do this, click on the “Emails” tab in Klaviyo and click the “Create Email” button. You can select your product recommendation template from here and start customizing it to meet your needs.

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    Step 4: Add Product Recommendation Blocks

    Once you have your email template in place, it’s time to add your product recommendation blocks. Klaviyo product Recommendation Blocks allow you to display up to 6 recommended products in your email. To add a recommendation block, click the “Add a Block” button and select the “Product Recommendation” option.

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    Step 5: Customize Your Product Recommendation Blocks

    With your product recommendation blocks in place, it’s time to customize them to match your brand and the message you want to communicate to your customers. You can easily customize your product recommendation blocks’ layout, design, and content to make them look and feel just the way you want.

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    Step 6: Segment Your Customers

    Klaviyo allows you to segment your customers based on their behaviors and preferences. This is a crucial aspect of creating personalized product recommendations. For example, you might create recommendations for customers who have previously purchased clothing items and show them products that complement what they’ve already bought.

    Step 7: Set Up Email Automation

    Once you’ve segmented your customers, it’s time to set up email automation. You can use Klaviyo automation features to set up triggered product recommendation emails, such as abandoned cart emails, post-purchase follow-ups, and more.

    This way, your product recommendations will be delivered at the right time and frequency, ensuring your customers don’t feel overwhelmed or bombarded with emails.

    Step 8: Monitor And Optimize Your Product Recommendations

    The final step in creating product recommendations in Klaviyo is to monitor and optimize its performance. Klaviyo provides detailed analytics and reporting on the performance of your emails, including open rates, click rates, and conversion rates.

    You can use this data to optimize your product recommendations and ensure they have the maximum impact on your business.

    There will be no need for Shopify theme customization services or Shopify app development services as the Klaviyo product recommendations feature is easy to apply without any customization.

    Benefits of Klaviyo Product Recommendations

    This recommendations feature uses advanced algorithms to analyze customer data and provide Klaviyo personalized product recommendations in eCommerce and Klaviyo eCommerce product recommendation engine for customers.

    Following is the list of benefits that the Klaviyo product recommendations tool provides to businesses.

    Increase Revenue

    Using Klaviyo product recommendations in B2B eCommerce can lead to increased revenue and customer satisfaction. This is because the system is designed to provide personalized product recommendations based on a customer’s browsing and purchase history and other data points.

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    By leveraging a knowledge-based product recommendation system for e-Commerce in Klaviyo, businesses can provide their customers with a more relevant and personalized shopping experience, leading to increased conversions and sales.

    Helping in UpSell and Cross-Sell

    Klaviyo custom product recommendations for eCommerce can also help businesses upsell and cross-sell their products. The system dynamically suggests products that are related to what the customer is currently viewing or has previously purchased, which can lead to the increased order value and customer loyalty.

    Provides Scalability

    Finally, eCommerce and product recommendation in Klaviyo is also scalable. As your business grows and your customer base expands, the system can adapt to provide more personalized and relevant product recommendations. This can help businesses stay ahead of the competition and continue to provide an excellent shopping experience for their customers.

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    Now if you want to go a little more advanced and opt for Klaviyo with Shopify ERP integration services then you can opt for custom Shopify development, as Klaviyo does provide APIs to connect and streamline data.


    In conclusion, the Klaviyo product recommendations system is a powerful e-commerce marketing feature that can help businesses increase their revenue and improve customer loyalty. With Klaviyo eCommerce product recommendations, businesses can automate targeted campaigns and focus on growing their business. So, if you’re looking to take your e-commerce business to the next level, consider using the Klaviyo product recommendations system.


    What Types Of Product Recommendations Can Klaviyo Product Recommendations Make?

    Klaviyo product recommendations can make various recommendations, including related products, best sellers, top-rated items, recently viewed products, and personalized recommendations based on past behavior.

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    Can Businesses Customize The Product Recommendations Made By Klaviyo Tool?

    Yes, businesses can customize the product recommendations made by the Klaviyo tool by specifying which products should be excluded or included in the recommendations, setting rules for when recommendations should be shown, and adjusting the algorithms used to make recommendations.

    How Can Businesses Measure The Effectiveness Of Klaviyos Product Recommendations?

    Klaviyo provides reporting and analytics tools that allow businesses to track the performance of their product recommendations, including metrics such as click-through rates, conversion rates, and revenue generated.

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    What Types Of Businesses Can Benefit From Using Klaviyo Product Recommendations Feature?

    Any business that sells products online can benefit from using the Klaviyo product recommendations feature, including e-commerce stores and subscription-based businesses.

    Does Klaviyo Integrate With Other Platforms And Tools than Shopify?

    Yes, Klaviyo integrates with a variety of platforms and tools, including e-commerce platforms such as Magento, CRM systems, and analytics tools.