Contextly

Recommends related posts to readers using machine learning, increasing engagement and conversions by keeping them on site and exploring internal content.
Content Recommendation Audience Engagement Publisher Solutions

Contextly is a content recommendation engine geared specifically for publishers, using machine learning and AI to recommend related posts to readers. The tool is designed to increase engagement by offering readers a natural way to explore related content, keeping them on site and converting them.

Contextly is geared to show a site's depth and breadth with related links, trending and evergreen recommendations. It steers readers to internal content, not external links that can disrupt the user experience. Other features include:

  • Channels: Subscriptions to specific topics that send readers notifications when new stories are published.
  • Evergreen Story Detection: Algorithmic detection and resurfacing of popular older stories to keep them fresh longer.
  • Editorial Control: The ability to manually or automatically control related links for each post.
  • Auto-Inserted Sidebars: Adding visually appealing sidebars that can be fully customized.
  • Videos and Products: Showing related videos and products in separate sections or alongside the content.
  • In-House Promotions: Creating links to email lists, events or subscription pages.
  • Responsive Designs: Customizable and mobile-friendly displays.
  • Useful Analytics Reports: Daily, weekly and monthly reports on site performance, top stories and engagement metrics.

Pricing is based on page views per month, ranging from $9 per month for up to 50,000 page views to custom pricing for larger sites. All plans include email support and analytics reporting.

Publishers have reported success with the tool in increasing engagement and conversions, and saying it improves user experience and offers good analytics. It's a good fit for publishers that want to improve content discovery and keep their audience loyal.

Published on July 9, 2024

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