New vs. Returning Visitor Personalization

Tailor Search Results Based on Visitor History

Transform your site into a personalized experience by automatically showing different search results to new and returning visitors. New visitors see popular products to build trust, while returning customers discover fresh inventory they haven’t seen yet. This intelligent personalization increases both conversion rates and average order value by delivering the right products at the right moment in each customer’s journey.

Channel

New vs. Returning Visitor Personalization

Products:

Autonomous Search

Industries:

Ecommerce Retail

Goal:

Acquire Customers

Metrics:

CLTV Conversion Rate Retention Rate Revenue Per Visitor

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Why Marketers Use Bloomreach for Personalizing New vs. Returning Visitors

Most retailers struggle to create relevant experiences for visitors at different stages of their customer journey. New visitors need convincing with popular products, while returning customers want to see what’s fresh and exciting. Bloomreach Discovery makes this effortless with AI-powered personalization that automatically segments visitors and adjusts search results in real time. You can boost new products for returning visitors and highlight bestsellers for newcomers — all without manual campaign management.

Get Inspired: Personalize Search Results Based on Visitor-Type

Search Results

Show Different Results Based on New or Returning Users

Create a more personalized shopping experience by automatically tailoring search results based on visitor history. New visitors see popular and high-margin products to build trust and increase purchase likelihood. Returning visitors who haven’t visited in 30+ days see boosted new products and fresh inventory to highlight items they may not have discovered yet. This intelligent segmentation increases conversion rates and average order value by showing the most relevant products to each visitor type.

Recommended Products:

Personalized Search

How It Works

Bloomreach Discovery automatically identifies whether a visitor is new or returning to your site using intelligent tracking and visitor history analysis.

For new visitors, the system boosts popular and high-margin products in search results to build trust and increase purchase likelihood with proven bestsellers.

For returning visitors who haven’t been on the site in 30+ days, new products and fresh inventory are automatically prioritized to showcase items they haven’t seen yet.

Real-time personalization ensures every search query delivers tailored results that match the visitor’s stage in the customer journey, increasing engagement and sales.

Plein air/Fitness Retail +4,04% revenue per visitor

Outdoor Retailer Regatta Personalizes On-Site Shopping at Scale

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Campaigns Built Using Behavior-Based Visitor Targeting

Regatta’s successful implementation of Bloomreach is a great example of tailoring search results based on visitor history. By dynamically ranking search and category results for each individual user, Regatta ensured that returning visitors saw more relevant product suggestions based on previous interactions and preferences. As a result, Regatta drove 4% higher RPV and a 4.82% higher add-to-cart rate. This 1:1 personalization evolved with every click, enabling returning users to discover products faster, while new users were intelligently guided toward popular options, improving product discovery for everyone.

Target Audience for Personalized Experiences Based on Visitor Status

Retail brands with diverse product catalogs, fashion retailers launching seasonal collections, electronics stores with frequent new arrivals, and marketplace platforms managing large inventories. Particularly valuable for businesses with high visitor return rates who need to balance trust-building for new customers with discovery for returning shoppers.