Website Recommendations

Create personalized customer experiences on your website withdynamicproduct and content recommendations

Create an AI-driven buying experience

When consumers are browsing, they lean towards sites that recognize their needs. Raptor’s Website Recommendations allows you to track your customers’ behavior on your site and target them with relevant recommendations that make visitors engage, buy, and come back for more.

Dynamic, automatic, and updated in real time

Intentions switch quickly – and your recommendation modules should too. Instead of manually selecting your recommendations based on gut feelings, Raptor’s algorithm picks out the exact items that are most relevant throughout the customer journey. Every interaction is processed in milliseconds, so you can stay a step ahead of the trend.

Choose between 20+ pre-built strategies

Raptor offers a range of pre-built recommendation modules that you decide how to integrate and stylize. You have the freedom to adjust and tune each module to your business goals, so your personalization efforts can scale and grow with you.

What you can achieve with Web Recommendations

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Product Recommendations

Use behavioral data from visitors’ browsing history to deliver accurate product recommendations every time. Fill your front page, category pages, product pages, and basket page with relevant recommendations that fit the intentions of the user at their exact place in the buying journey.

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Content Recommendations

Improve customer engagement by delivering content recommendations based on each visitor’s behavior and preferences in real-time.

Match content elements with products to deliver a customer experience that is personalized and insightful.

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20+ prebuilt modules to choose from

With several prebuilt machine learning algorithms to choose from, you’ll find several strategies that fit your business goals. With strategies like “Top in Category”, “Top Selling, “Similar”, “Related, “Most viewed” and many more, you’re guaranteed to find a strategy that fits every step of the buying journey.

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Updates and adapts in real time

Every interaction on your site is processed and updated within milliseconds. Imagine a personal shopping assistant following her visitor around your site, instantly adapting to changing wants and intentions. This is what Raptor’s recommendation modules can do: Anticipate the needs of each visitor and instantly update the recommendations to match. Best of all, Raptor’s modules improve conversion rates by 112% on average across industries.

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Easily tuned to your business needs

Combine your business strategy with the wisdom of the crowd. Raptor’s algorithms can be easily adjusted to your specific business needs. Do you want the most popular products to be featured? Or do you want a greater diversity of products displayed? You have the power to finetune and experiment with every recommendation strategy to create a solution that performs and converts.

What and how we measure

Conversion Rate

Conversion rate for users who have clicked on Raptor module and converted, compared to users who have not clicked a Raptor module

Average Order Value

Average order value for users who have clicked a Raptor module and converted compared to users who have not clicked a Raptor module

Average Revenue Per Visit

Metric showing average revenue per visit for users who have clicked a Raptor module and converted compared to users who have not

Average Page Views

Average page views per visit for users who have clicked a Raptor module and converted compared to users who have not

Average Visit Duration

Metric showing average visit duration per visit for users who have clicked a Raptor module and converted compared to users who have not

Joint Success Plan

You can have a dedicated personalization expert to help you set goals and make sure they become reality

Why working with customer data should be the long haul

At Sport 24, working with segments is not only part of their DNA, it’s the stepping stone for launching new campaigns. The runner, the hiker, or the mother of two children is the central element to both content, products, and tone of voice – it all has to be in place before they hit “launch”.

Read the case study

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

How Plantorama’s conversion rates grew by 40% with tailored Web Personalization

In 2020, Plantorama decided to elevate their newly established webshop. They knew that omnichannel was the way to go to sow their crops in the world of ecommerce, but they needed to find a solution that fit Plantorama’s specific business model.

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

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