How To Maximize Email Conversion Rates With AI Product Recommendations

October 22, 2024

October 27, 2026

•

4 min read

Despite the growing popularity of social media and other channels, emails are still one of the most effective tools for engaging customers. However, capturing customer attention and driving conversions through email can be challenging in today’s crowded inboxes. This is where personalization and AI-powered product recommendations come into play.

Now, let's delve into the power of personalization and how it transforms email marketing from a generic outreach tool into a personalized shopping experience.

Personalization in Email Marketing

Consumers are inundated with marketing messages every day, and they've become skilled at filtering out irrelevant content. Personalized emails, on the other hand, break through the noise. They directly address individual customer needs and preferences, leading to much higher open rates, click-through rates, and ultimately, conversions.

So, what does personalization in email look like?

In practice, personalization in email marketing involves more than just addressing the customer by their first name. Personalized subject lines alone can increase email open rates by 50%, illustrating the value of crafting emails that resonate on a personal level. Merchants can personalize various elements such as product recommendations, special offers, and even messaging tones.

Average email open rate by industry. (Source: Invespcro)

For instance, a customer who frequently purchases running shoes might receive an email with the subject line "New Arrivals in Running Gear Just For You!" The email features the latest running shoes, apparel, and accessories. This level of personalization creates a sense of individual attention, fostering more robust customer engagement and driving sales.

Boost AI Search & Discovery is dedicated to providing personalized product suggestions within email campaigns. This will ensure that each customer receives tailored product suggestions based on interests and shopping behavior. With exciting developments on the horizon, stay tuned for new features and seamless integrations designed to take your email marketing to the next level.

The Role of AI in Optimizing Product Recommendations

AI algorithms are revolutionizing product recommendations by analyzing vast amounts of customer behavior data to pinpoint individual preferences and predict future purchases. This allows for highly targeted and relevant product suggestions within emails, dramatically increasing the likelihood of conversion.

Several AI-powered recommendation strategies can be seamlessly integrated into your emails thanks to the integration between Boost AI Search & Discovery and Klaviyo:

Frequently Bought Together: This feature suggests complementary products to increase the average order value. For instance, a customer who purchased a laptop might receive recommendations for accessories like laptop sleeves or wireless mice.
Related Items: Encouraging product discovery through related items helps customers explore new products they might not have considered. An email featuring matching socks or athletic wear could spark interest if a customer buys running shoes.
Best Sellers and Most Viewed Products: Leveraging social proof can boost engagement. Displaying top-performing products in emails reassures customers that these items are popular among other buyers.
Trending and Newest Arrivals: Merchants can stay ahead of trends by promoting newly launched products. Highlighting what’s trending keeps customers engaged and encourages them to explore the latest collections.

The benefits of using AI for product recommendations are undeniable. When customers see products relevant to their needs and preferences, they are more likely to click through and make a purchase.

Having established the power of AI, we'll show you best practices for maximizing its effectiveness within your email marketing campaigns.

Best Practices for Using AI Product Recommendations in Emails

Implementing AI effectively requires a strategic approach. Here are some best practices to consider:

Segmenting Your Email List for Higher Relevance: Divide your customer base into segments based on purchase history, demographics, or interests. This allows you to tailor product recommendations to specific groups, ensuring higher relevance.
Automating Email Triggers: Leverage event-triggered emails—such as abandoned cart reminders, post-purchase follow-ups, and win-back campaigns—powered by AI to present the right products at the perfect moment. We're also working on sharing key app events, such as product searches, result clicks, and collection views, with Klaviyo, allowing users to create email triggers based on these interactions. This next-level personalization will unlock even more tailored and impactful customer engagement.
Timely Recommendations: Be cautious with the timing and frequency of these emails to avoid overwhelming your customers and diminishing their engagement.
A/B Testing Subject Lines & Product Recommendations: Continuously test different subject lines and product recommendation arrangements to optimize open rates and click-through rates. This data-driven approach ensures your emails are always performing at their best.
Using Dynamic Content for Real-Time Recommendations: AI can display up-to-the-minute product recommendations, ensuring customers see in-stock and relevant items. Boost offers both AI-powered and non-AI-powered widgets to cater to various merchant needs.
Visual Merchandising: Present product recommendations visually appealingly within emails. Use high-quality images, concise product descriptions, and clear call-to-action buttons to entice clicks.
Mobile Optimization: Make sure your emails are mobile-responsive. With a large share of email opens happening on mobile devices, it’s essential to optimize for smaller screens to provide a seamless experience. Fortunately, with the Boost and Klaviyo integration, this becomes effortless, as both platforms have designed their widgets to be fully mobile-friendly.

How do you filter AI product recommendations in Klaviyo emails?

AI picks the products, and filtering rules set the boundaries. Add up to 4 rules to any recommendation block. Products must match all of them to appear. You can filter on price, stock level, collection, product category, product type, vendor, tag, REVIEWS.io rating and REVIEWS.io review count.

A few ways to use them:

Keep a Bestsellers block to products with at least 5 units in stock.
Show only products rated 4 stars or more with at least 10 reviews in a win-back flow.
Limit Newest arrivals to one collection for a launch email.
Leave gift-tagged products out of a full-price campaign.

Can you show star ratings in Klaviyo product recommendations?

Yes. Connect REVIEWS.io to Boost, then turn on "Display REVIEWS.io product reviews" in the widget settings. Each product tile then shows its star rating and review count. That puts social proof in the email, before the shopper even reaches your store.

Boosting Email CR and AOV with Klaviyo and Boost Integration

Integrating Boost and Klaviyo simplifies the process of adding powerful AI-driven product recommendations to your Klaviyo email campaigns. This seamless integration offers a range of benefits:

Easy Implementation with Minimal Coding: The integration is designed for ease of use and requires minimal technical expertise.
Better Email Product Discovery: The integration significantly improves email conversion rates by showcasing products aligned with customer interests and past behavior.
Promoting High-Performing Products: Leverage AI to highlight best sellers, most viewed products, and new releases directly within your emails.
Upselling and Cross-Selling: Utilize "Frequently bought together" and "Related products" features to increase average order value.
Driving Higher Intent Purchases: Personalized product recommendations effectively target customers with stronger purchase intent, leading to higher conversion rates.

The setup process is straightforward and designed to get you up and running quickly.

Get started with Boost and Klaviyo integration

Follow these steps to access and activate the integration between Boost AI Search & Discovery and Klaviyo.

Configure the Integration in Boost

Connect Klaviyo, then build your recommendation in three steps:

Create the recommendation. In Boost, go to Integrations > Klaviyo > Create recommendation. Give it a name, pick one of the 6 types (Frequently bought together, Related items, Bestsellers, Most viewed, Newest arrivals or Trending products), and add up to 4 filtering rules.
Customize the widget. On the next tab, set the title, button, layout, fonts and colors. Check the live desktop and mobile preview.
Copy it into Klaviyo. Click Save & generate source code. Copy the web feed name and URL into Klaviyo under Settings > Other > Web feeds. Then paste the source code into a text block in your email template.

Already using Boost recommendations in Klaviyo? Your list starts with 6 default recommendations, one per type, with the same settings as before. Emails already sent or scheduled keep working. One thing to know: deleting a recommendation also deletes its web feed, so any live email using it will stop showing products.

Optimize Your Email Marketing Today

By combining the power of AI with the reach of email newsletters, merchants can effectively promote high-performing products, upsell with related items, and target high-intent customers, driving significant increases in both average order value and overall sales. The partnership between Boost and Klaviyo empowers you to achieve these goals seamlessly.

Now is the time to transform your email campaigns into AI-powered shopping experiences that resonate with customers, boost engagement, and maximize revenue. Install Boost and activate the Klaviyo integration to foster stronger customer relationships, elevate sales performance, and cultivate long-term loyalty.

FAQs

Do I need Boost TURBO to use Klaviyo recommendations?‍

No. The Klaviyo recommendation integration, including filtering rules and the no-code widget editor, works on every Boost version, TURBO included.

What happens to the recommendation widgets I already use?‍

Nothing breaks. You start with 6 default recommendations, one per type, that match your previous settings. Live and scheduled emails keep showing products.

Do I need to write code?‍

No. You build and style the widget in Boost, then copy a web feed and a block of generated source code into Klaviyo. You don't need to edit any HTML.

Ellie Ho

•

Content Marketing Specialist

October 27, 2026

•

4 min read

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