---
title: "Recommendation"
slug: "recommendation"
description: "Covers Recommendations in Insider One, including AI-powered product recommendations, recommendation strategies, personalization, campaign use cases, and performance optimization."
tags: ["app smart recommender", "personalized recommendations"]
updated: 2026-08-06T12:31:17Z
published: 2026-08-06T12:31:20Z
canonical: "academy.insiderone.com/recommendation"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://academy.insiderone.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Recommendation

Customers do not always visit your website to buy specific products; they might browse your online store. Some customers spend hours deciding what to choose, while others make quick purchases. However, one of the biggest challenges online businesses face is the high rate of visitor drop-offs, often caused by ineffective product discovery and elevated bounce rates.

Regardless of how your customers approach online shopping, there’s a way to make the experience seamless for them: optimizing product discovery. This improves the shopping experience, drives higher conversions, and boosts revenue.

Insider One's AI-powered recommendation engine analyzes users’ brand preferences, discount affinities, interests, and behaviors to achieve smarter product discovery. It delivers personalized product recommendations across your website, app, email, ads, messengers, and other channels, helping you increase conversion rates effectively.

<editor360-custom-block data-preprocessing="true" data-sanitizationtags="svg,path"><div class="btnsWrap"><a href="hhttps://academy.insiderone.com/docs/smart-recommender-overview" style="line-height:1.2em;" rel="noopener"><figure><svg width="24" height="24" viewbox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" clip-rule="evenodd" d="M11.4 21C11.7314 21 12 20.7314 12 20.4V17.6C12 17.2686 11.7301 17.0038 11.4011 16.9645C8.92202 16.6686 7 14.5587 7 12C7 9.44126 8.92202 7.33143 11.4011 7.0355C11.7301 6.99622 12 6.73137 12 6.4V3.6C12 3.26863 11.7314 3 11.4 3H11C10.4477 3 10 3.44772 10 4V4.75742C10 5.64832 8.92286 6.09449 8.29289 5.46452L7.7574 4.92903C7.36688 4.53851 6.73371 4.53851 6.34319 4.92903L4.92897 6.34324C4.53845 6.73377 4.53845 7.36693 4.92897 7.75746L5.46441 8.29289C6.09437 8.92286 5.64821 10 4.7573 10H4C3.44772 10 3 10.4477 3 11V13C3 13.5523 3.44772 14 4 14H4.75742C5.64832 14 6.09449 15.0771 5.46452 15.7071L4.92889 16.2427C4.53837 16.6333 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14.4142 18.4142C14.2285 18.5999 14.008 18.7472 13.7654 18.8478C13.3646 19.0138 13 19.3516 13 19.7854V20Z" fill="#0A2ECC"></path></svg></figure>Smart Recommender </a><a href="https://academy.insiderone.com/docs/introduction-to-app-smart-recommender" style="line-height:1.2em;" rel="noopener"><figure><svg width="40" height="40" viewbox="0 0 40 40" fill="none" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" clip-rule="evenodd" d="M5 8C5 6.34315 6.34315 5 8 5H20C21.6569 5 23 6.34315 23 8V12C23 12.5523 22.5523 13 22 13C21.4477 13 21 12.5523 21 12V8C21 7.44772 20.5523 7 20 7H17C17 8.10457 16.1046 9 15 9H13C11.8954 9 11 8.10457 11 7H8C7.44772 7 7 7.44772 7 8V32C7 32.5523 7.44772 33 8 33H16C16.5523 33 17 33.4477 17 34C17 34.5523 16.5523 35 16 35H8C6.34315 35 5 33.6569 5 32V8ZM10 16C10 15.4477 10.4477 15 11 15H12C12.5523 15 13 15.4477 13 16V17C13 17.5523 12.5523 18 12 18H11C10.4477 18 10 17.5523 10 17V16ZM15 16C15 15.4477 15.4477 15 16 15H17C17.5523 15 18 15.4477 18 16V17C18 17.5523 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34.1999 29.016 34.4945 28.5307 34.6955C28.3545 34.7685 28.1736 34.8287 27.9896 34.8756Z" fill="#0A2ECC"></path></svg></figure>App Smart Recommender </a></div></editor360-custom-block>

## Related

- [App Smart Recommender](/introduction-to-app-smart-recommender.md)
- [Eureka](/eureka-overview.md)
