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Brief

Relap.io

Content Recommendation & Native Advertising

Relap.io helps publishers increase audience engagement and generate revenue through AI-powered content recommendations that personalize the reader experience and surface both editorial and sponsored content.

Founded: 2014HQ: Moscow, Russia

Last updated Jul 30, 2026 by ATDb automated enrichment

At a glance

About

Niche player focused on Eastern European and CIS markets for content recommendation and publisher monetization

Relap.io is a content recommendation platform founded in Russia, designed to help digital publishers boost reader engagement and monetize their websites through personalized content widgets. The platform uses machine learning algorithms to analyze user behavior and serve relevant content recommendations, keeping visitors on-site longer and increasing pageviews per session. It primarily targets news publishers, media companies, and content-heavy websites across Eastern Europe and beyond. The company operates in the native advertising and content recommendation space, competing with global players like Taboola and Outbrain but focusing more on the CIS (Commonwealth of Independent States) and Eastern European markets. Relap.io differentiates itself by offering deep personalization capabilities and a publisher-first approach, allowing media companies to recommend both their own content and sponsored content from advertisers. Relap.io's technology stack includes behavioral analytics, real-time personalization engines, and A/B testing tools that allow publishers to optimize their content recommendation strategies. The platform serves as both an engagement tool and a monetization layer, making it relevant to publishers looking to reduce bounce rates while generating incremental revenue from native ad placements.

Business model

SaaS / Revenue Share

Target market

SMB to Mid-Market

What they offer

  • Content Recommendation Widget

    On-site widget that surfaces personalized editorial and sponsored content recommendations to keep users engaged and increase pageviews.

  • Personalization Engine

    Machine learning-based engine that analyzes user behavior in real time to deliver relevant content recommendations.

  • Publisher Monetization

    Native advertising integration that allows publishers to earn revenue by displaying sponsored content alongside organic recommendations.

  • Analytics Dashboard

    Reporting and analytics tools that give publishers insight into engagement metrics, CTR, and recommendation performance.

Key features

AI-driven content personalizationReal-time behavioral analysisNative advertising integrationA/B testing for recommendation widgetsEditorial and sponsored content blendingEngagement and CTR analytics

Use cases

Increasing pageviews per session on news and media sitesReducing bounce rates through personalized content discoveryMonetizing publisher traffic via native sponsored contentImproving content discoverability for editorial teams

Customer segments

Digital news publishersOnline media companiesContent-heavy websitesRegional and local media outlets in CIS countries

Tech & specs

Technology stack

Machine learning / AI recommendation algorithmsJavaScript widgetBehavioral analyticsReal-time data processing

Security & compliance

GDPR

Deployment

Cloud

API

Limited

Corporate history
  1. 2014 · Founded

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