The Content Recommendation Widget renders personalized article, post or video suggestions — “Most popular”, “Others who read this also read”, “Published since your last visit”, and more — matched to each visitor’s interests and reading history. This guide covers the action; the Content Recommendations wizard walks the full campaign.
Prerequisites
- An article catalog — from your sitemap, RSS/Atom, or the WordPress integration.
- Article-view tracking, so the interest model has something to learn from; see interests for recommendations.
Adding the action
Open the campaign’s Content step → Add action → Content Recommendation Widget, then pick a template — cards, sliders, “continue reading” strips; each family is documented under content recommendation templates.
Choosing the algorithm
The full catalogue with when-to-use guidance is on Content Recommendation Algorithm Types. As with products, add filters (category, tag, freshness) and fallbacks.
Look & feel, placement, measuring
Identical machinery to every widget action: live preview editing with per-setting CSS and ⚡ Variations, Edit action with AI, inline-or-floating placement with triggers and frequency caps, and reporting into the campaign’s Performance step — with A/B testing available on the Content step.
Related
- Content Recommendations wizard — the full campaign, step by step.
- JSON feed variant — same algorithms, rendered by your own code.
- Content recommendations in third-party emails.