# Raptor integration product guide

> For the complete documentation index, see [llms.txt](https://doc.ibexa.co/en/saas/llms.txt).

Discover Raptor integration - an add-on focused on recommendations and tracking customer behaviors.

Discover [Raptor](https://www.raptorservices.com/) integration - an add-on that is focused on recommendations for your visitors.

## What is Raptor integration

The [Raptor integration](https://doc.ibexa.co/en/saas/recommendations/raptor_integration/raptor_connector/index.md) provides a seamless integration between Cohesivo and the Raptor recommendation engine.

Its primary goal is to enable editors and managers to deliver personalized experiences across digital channels, which helps to increase conversion rates, drive sales, and improve user engagement.

By bringing content and recommendations together, the connector makes it easy to build and manage personalized experiences.

This approach simplifies integration while supporting personalization across different sites and markets.

## Availability

To use the Raptor integration, you must first make arrangements with Ibexa.

## Raptor tracking

To start [tracking](https://content.raptorservices.com/help-center/introduction-to-tracking-documentation) user interactions, the tracking script needs to be added to the website’s layout.

## Capabilities

### Tracking

Raptor tracking allows you to collect data about how users interact with your products and content.

This gives you the data you need to better understand user behavior, improve recommendations, and support personalization.

### Recommendation blocks

The Raptor integration add-on provides a set of ready-to-use recommendation blocks that can be added directly in the [Page Builder](https://doc.ibexa.co/en/saas/content_management/pages/page_builder_guide/index.md).

These blocks can be configured to adjust how they work and what they display. Content, Product, and Commerce recommendations can be placed on landing pages using these components.

Editors can use these blocks to display tailored product recommendations, promote related content, and highlight items that are trending or recently viewed.

Recommendation blocks are organized into dedicated categories, each grouping blocks based on the type of recommendation they provide:

- **Recommendations: Content** - presents content recommendations:
  - [Content that has been seen along with the item category](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#content-that-has-been-seen-along-with-the-item-category-block)
  - [Merchandising content sorted by personal preferences and popularity](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#merchandising-content-sorted-by-personal-preferences-and-popularity)
  - [Most popular content](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#most-popular-content-block)
  - [Other customers have also seen this content](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#other-customers-have-also-seen-this-content-block)
  - [Personalized content recommendations](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#personalized-content-recommendations-block)
  - [User’s content history](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#users-content-history-block)
- **Recommendations: Product** - displays product suggestions based on visitors’ browsing history:
  - [Items associated with the given Content](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#items-associated-with-the-given-content-block)
  - [Items of Customized Feeds sorted by personal preferences and popularity or trendiness](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#items-of-customized-feeds-sorted-by-personal-preferences-and-popularity-or-trendiness)
  - [Most popular products](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#most-popular-products-block)
  - [Most popular products in category](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#most-popular-products-in-category-block)
  - [Other customers have also seen](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#other-customers-have-also-seen-block)
- **Recommendations: Commerce** - shows recommendations based on visitors' purchase history (buy and basket events):
  - [Other customers have also purchased block](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#other-customers-have-also-purchased-block)
  - [The Personal Shopping Assistant](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#the-personal-shopping-assistant-block)
  - [The Personal Shopping Assistant (additional sales)](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#the-personal-shopping-assistant-additional-sales-block)
  - [The Personal Shopping Assistant (conversion)](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#the-personal-shopping-assistant-conversion-block)
  - [User's item history](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/#users-item-history-block)

![Recommendation blocks](https://doc.ibexa.co/en/saas/recommendations/raptor_integration/img/recommendation_blocks.png)

For a complete description of Recommendation blocks see [Recommendation blocks in User Documentation](https://doc.ibexa.co/projects/userguide/en/6.0/recommendations/raptor_integration/raptor_recommendation_blocks/).

## Benefits

### Understand user behavior

Thanks to tracking functions, you can capture how users interact with your products and content, giving you valuable insights into their behavior. It helps you make data-driven decisions to improve engagement and personalize the user experience.

### Highlight recommendations

Use recommendation blocks on your websites to highlight content targeted at your customers. Deliver relevant content and build trust in your brand.

### Suggest content to boost retention

Help users find content of their interest quicker. Showing visitors content and products that match their interests helps keep them engaged and encourages them to come back.

### Meet customer expectations and increase engagement

Recommendation blocks highlight products that match customers' interests. Tailored content boosts engagement by showing visitors information and products that align with their interests and fulfill their needs. This strengthens the connection between your brand and your audience, encouraging them to spend more time on your site and return more often.

### Increase average order value

Use tracking for predictive analysis and find out what motivates users to put extra items into their carts. Start building predictions of their behaviors and suggest products your visitors are willing to buy.

### Track performance and increase conversions

Use the Raptor service in your Commerce shop and see how recommendations drive sales. Keep track of which recommendations are shown to visitors and measure conversion rates to evaluate their effectiveness against your goals.