Marfeel Recommender overview and use cases
Marfeel Recommender is a content recommendation engine that delivers personalized articles to each reader based on their behavior and interests. It surfaces relevant content users have not seen before, increasing recirculation and time on site.
Why use Marfeel Recommender
Section titled “Why use Marfeel Recommender”Readers are overwhelmed with content. Standing out requires relevance and personalization, not just quality. Marfeel Recommender helps you:
- Increase engagement: Present articles tailored to individual interests and reading behavior.
- Drive recirculation: Surface recommendations that move readers deeper into your site.
- Maximize content visibility: Give your best-performing and most relevant articles consistent exposure.
Key capabilities
Section titled “Key capabilities”- Personalized recommendations: Deliver articles aligned with each user’s interests, filtering out content they have already read.
- Contextual and editorial flexibility: Choose between automated, context-driven suggestions or maintain editorial control to highlight specific content through curations.
- Dynamic placement: Integrate recommendations within articles, sidebars, or dedicated modules, wherever they have the most impact.
Use cases
Section titled “Use cases”Each use case below targets a specific goal, from promoting popular content to personalizing the reading experience. The table links to detailed implementation guidance for each scenario.
| Optimize listings for Max Engagement | Transform underperforming recommendation modules into high-conversion assets using Marfeel Recommender. |
| Most Clicked Content of the Home Page | Identify and promote articles with the highest CTR from the home page to amplify them on other placements. |
| Automate Home Page Section Blocks | Showcase the most clicked or popular articles within a section or combination of sections to improve user interaction and content discovery. |
| Warming Up Articles for Greater Reach | Sequentially promote an article by featuring it on the home page, sharing on social media, and using flowcards to boost visibility, aiming to make it a hit on platforms like Google Discover. |
| Amplify Branded Content Visibility | Increase the reach and visibility of branded content by configuring a multi-feed recommender to consistently feature curated branded articles in recommendation modules. |
| Weekend Top Articles Recap | Re-engage readers by showcasing the week’s top articles in a home page module during the weekend, giving them a second chance to catch up. |
| Open vs. Paywalled Articles | Provide appropriate content to users based on their subscription status, enhancing their experience and encouraging subscriptions. |
| Reorder Articles Based on CTR | Prioritize articles in lists or modules based on their click-through rates to maximize their effectiveness. |
| Geo-Targeted Recommendations | Surface content that is pertinent to the user’s region or city, such as local news, events, or weather updates. |
| Cross-site Recommendations | Encourage users to explore content from sister publications or related sites, increasing cross-site traffic. |
| Optimum Infinite Scroll feed | Deliver a seamless reading experience by curating an optimal feed that continuously surfaces relevant, high-performing articles as users scroll. |
| Add Contextual Links when there’s no Editorial Curation | Automatically suggest articles between paragraphs whenever editors haven’t selected one themselves. |
| Recommending Evergreen Content | Surface high-quality, evergreen articles that remain relevant over time, especially to new or returning users. |
| Optimize Section Pages | Showcase the most clicked and popular articles within a section to improve user interaction and content crawlability. |
| Optimize Tag Pages | Highlight top-performing articles associated with a tag to enhance user experience and crawlability of specific topics. |
| Optimize Author Pages | Feature the most clicked or relevant articles by an author to boost engagement with the author’s content. |
How it works
Section titled “How it works”Marfeel Recommender combines ranking signals with your content strategy to deliver optimal results:
- Advanced ranking signals: User behavior, content similarity, trends, and engagement metrics like CTR determine how articles are ranked.
- Flexible configuration: Adjust signal weights to match your goals, whether that means boosting new content, promoting high-CTR articles, or focusing on personalization.
- No-code integration: Incorporate recommendations into various site areas using customizable presentation formats and targeting options, with no developer resources required.
Get started
Section titled “Get started”- Configuration and best practices: Learn everything you need to know to set up the recommender for maximum impact.
- Core concepts: Understand feeds, engines, curations, and targeting.
- Using curations: Learn how editors and users can curate article recommendations.
What does Marfeel Recommender do?
Marfeel Recommender delivers personalized article recommendations based on user behavior, content similarity, trends, and engagement metrics. It increases content recirculation and keeps readers engaged by surfacing relevant articles they have not seen before.
What ranking signals does Marfeel Recommender use?
Marfeel Recommender uses user behavior, content similarity, trends, and engagement metrics such as CTR. Publishers can adjust the weight of each signal to prioritize new content, high-performing articles, or personalization.
Can I control which content Marfeel Recommender displays?
Yes. Marfeel Recommender supports both automated, context-driven suggestions and editorial curations. Publishers can highlight specific content, restrict recommendations by section or tag, and customize presentation formats, all without code changes.