Search Recommendations

Tailor every search result specifically to theindividual visitor’sinterests, behavior, and preferences.

Hyper-personalized search results

Add a personalized layer to your search engine, enabling you to personalize the products in the search results on a 1:1 level. Every product recommendation will feel handpicked for each user based on their unique preferences and behaviors on your domain.

Strategic re-ranking

Whenever a user enters a broad search, the products are re-ranked to match the user’s usual preferences – and your business strategies. By prioritizing the most relevant products, customers can effortlessly find what they need, while benefiting your conversion rates and other key metrics.

Boost sales and improve the customer experience

Personalizing your search engine is proven to boost sales and improve the customer experience. The easier it is for users to find what they’re looking for, the more likely they are to make a purchase instead of leaving your site for a competitor’s.

What you can achieve with Search Recommendations

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Visitor's click history

Show products that a visitor has shown high interest towards recently but have not bought yet

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Twin analysis

Show products that visitors, who look like each other, have either clicked or purchased

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Cross-selling

Recommend products that are related to a previous purchase or the current basket content

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Upselling

Suggest products that are upgrades and/or more expensive versions of a current product in the basket

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Trend spotting

Show products that are popular across your website based on clicks or conversions

“To us, Raptor is much more than a tool for up- and cross selling. It’s a way for us to make our customer’s processes faster and easier, so they can get the parts they need to get their work done“

Jesse Kuiper, INDI

Warehouse to webshop: BAUHAUS’ omnichannel story

Like many other traditional retailers before them, BAUHAUS went through a transformative process, giving their familiar, red warehouses digital life. And while they describe themselves as relatively green in the market of established ecommerce webshops, their growth tells a different story.

Read the case study

Personalized Search: Increasing conversion rates on INDI.nl

INDI, one of the fastest growing e-commerce in the Netherlands, is a B2B retailer of technical parts. They have an extensive product catalog, with more than 450.000 products.

INDI aims to give their users the most relevant search experience online.

To do so, they use Raptor’s Search Recommendation to personalize their on-site search, and the results are incredible.

Read the case study

BilligVVS choose Algolia + Raptor to power their new e-commerce search solution

Algolia and Raptor integrate to power a personalized search and discovery experience on BilligVVS, increasing search revenue by 15%.

BilligVVS use Raptor to personalize the entire online customer journey, via personalization on search, web, and email.

Read the case study

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