Personalized Product Recommendations | Bloomreach Use Cases

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.

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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

Bi-weekly Product Recommendation Newsletter

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.

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Recommendations Carousel Banner

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.

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How It Works

  1. Bloomreach analyzes customer behavior data, including browsing history, purchase patterns, and product interactions, to build individual preference profiles.
  2. Loomi AI processes this data to understand customer intent and predict product affinity based on similar customer segments and purchase behaviors.
  3. When setting up a campaign, marketers can select from predefined recommendation templates like “Customer Recent Interactions” or “Customers Who Bought This Item Also Bought.”
  4. 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.
  5. Merchandisers can set strategic rules for search to promote products from a certain brand, high-inventory items, or on-sale products.
  6. The AI continuously learns from customer interactions, refining recommendations to improve relevance and conversion rates over time.

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, Vitkac saw significant success:

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.