AIEmailOmnichannelTop 10 Used

Personalized Product Recommendations

Show Customers Products They Actually Want To Buy

Product recommendations are one of the strongest drivers of ecommerce growth when done right. Smart personalization uses customer behavior, purchase history, and AI to surface products that match individual preferences. For example, showing running shoes to customers who bought athletic wear can significantly increase conversion rates. Highlight product recommendations in banners, newsletters, or even search results to maximize impact.

Channel

01/06

Products:

Autonomous Search Marketing Automation

Industries:

Ecommerce Hospitality & Restaurants Retail Travel & Transporation

Goal:

Acquire Customers

Metrics:

CLTV Conversion Rate Purchase Frequency Revenue Revenue Per Visitor

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Why Marketers Use Bloomreach for Personalized Product Recommendations

Generic product recommendations miss the mark 78% of the time, leaving revenue on the table. You need AI that understands each customer’s unique shopping journey, from browsing patterns to purchase history. Bloomreach Engagement and Discovery work together to deliver hyper-personalized recommendations powered by Loomi AI. Our commerce-first approach analyzes real-time behavior and preferences to show the right products at the perfect moment, driving higher conversions and customer lifetime value.

Get Inspired: Run Campaigns with Personalized Products

Automated Newsletters

Category-Based Newsletters

Carousel Banner

Banner in Cart

Search Pathways

Omnichannel Setup

Bi-weekly product recommendation newsletter

Prebuilt Use Case

Transform your newsletter from good to great with personalization. Show products based on customer preferences, browsing behavior, and purchase history to increase engagement and boost conversions. For example, « Based on your preferences, we thought you’d love these dresses. » This approach drives higher click-through rates and creates more meaningful customer connections through targeted content.

See Documentation

Automated newsletter for new items of interest

Prebuilt Use Case

Add an engaging touch to your regular newsletter by showcasing items within a customer’s most-loved category that they haven’t purchased yet. For example, « We know you love our workout leggings. Based on your preferences, we thought you might also love these options. » This targeted approach boosts conversions and engagement by focusing on proven customer interests.

See Documentation

Recommendations Carousel Banner

Prebuilt Use Case

Display carousel banners with personalized recommendations. Show products customers left in their cart in the last 7 days or broader recommendations like « Customers who bought this also bought » based on the last product viewed. The banners are fully customizable, allowing you to optimize for conversions and revenue per visitor with this targeted approach.

See Documentation

“Drive conversions and improve your RPV with an on-site banner featuring personalized recommendations.”

Cart Update Banner With Recommendations

Prebuilt Use Case

Boost cart value by showcasing complementary products when customers add items to their cart. Display a banner featuring items frequently purchased together by similar shoppers — for example, ‘Customers who added this item also bought these products.’ This strategic moment captures customers when they’re already in a buying mindset, making them more receptive to additional purchases. Keep it simple by only selecting the most relevant products from your catalog and by utilizing our recommendations engine.

“Marketers use banner ads because they promote brand awareness. They’re also great lead generators. Banner advertising is attractive because it can help create brand awareness, generate leads, and retarget an audience.”

Enhance Product Recommendations With Pathways

Curate your search experience with widgets that highlight products with predefined attributes — like specific brands, high-inventory items, or sale products — at the top of search results. Create categories for new arrivals, add dynamic products for brand promotions, or mirror your offline store experience online. This approach prioritizes products that align with strategic objectives while ensuring shoppers see relevant, targeted results.

Personalize Recommendations Based on Purchasing and Browsing History

Showcase products tailored to each customer’s unique browsing and purchase behavior across your website, email, and SMS channels with intelligent recommendation engines. The recommendation engine automatically displays items based on real-time session activity and historical interactions, creating a truly personalized shopping experience.

By surfacing relevant products at the right moment, you increase the likelihood of discovery and purchase. Whether based on recently viewed items, past purchases, or current session behavior, these dynamic recommendations keep customers engaged and drive higher conversion rates across every touchpoint.

Recommended Products:

How It Works

Bloomreach analyzes customer behavior data, including browsing history, purchase patterns, and product interactions, to build individual preference profiles.

Loomi AI processes this data to understand customer intent and predict product affinity based on similar customer segments and purchase behaviors.

When setting up a campaign, marketers can select from predefined recommendation templates like « Customer Recent Interactions » or « Customers Who Bought This Item Also Bought. »

Customers see relevant products in web banners or newsletters that match their interests, like workout gear for fitness enthusiasts or complementary items based on cart contents.

Merchandisers can set strategic rules for search to promote products from a certain brand, high-inventory items, or on-sale products.

The AI continuously learns from customer interactions, refining recommendations to improve relevance and conversion rates over time.

Mode Mode 585%

Vitkac et Bloomreach Engagement : des expériences gagnant-gagnant

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Campaigns Built Using Tailored Product Recommendations

Vitkac implemented Bloomreach Engagement’s Loomi AI-powered product recommendations to enhance website user experience. By using intelligent models that consider real-time intentions, stock availability, previous purchases, and product attributes like gender and category, Vitkac saw significant success:

Within 11 days: 9.3% boost in conversion rates
Within 5 months: 23.2% conversion rate increase
585% ROI in 6 months

Vitkac created seamless online customer journeys that reflected its luxury in-store experience.

Target Audience for Customized Product Suggestion Campaigns

Ecommerce retailers with diverse product catalogs, fashion brands looking to cross-sell accessories, beauty companies promoting complementary products, and travel brands suggesting add-on experiences.

Particularly valuable for businesses with extensive inventories, seasonal collections, or complex product relationships where AI can uncover purchase patterns humans might miss.