It's not that your content is bad — it just never got into the system.
Understanding RED's recommendation algorithm is the difference between 10 views and 10,000 views.
How RED's Recommendation System Works
RED doesn't prioritize followers. It promotes content based on:
1st Hour Engagement
Clicks, comments, likes within the first hour determine initial reach
Dwell Time
How long users spend reading your content affects algorithm scoring
Save + Share Rate
High-value content that users save and share gets broader distribution
💡 Key Insight: It's not about pushing content to your followers — it's about entering the algorithm gate.
Content That Triggers Recommendations
Clear Visual Structure
2:3 format or close-up shots that stop the scroll
Scroll-Stopping Hook
First lines that create curiosity or urgency
Saveable Content
Checklists, tutorials, or comparison content
Emotional Storytelling
Relatable experiences that trigger emotional responses
Our Recommendations
✅Do
Add strong hook structures
Design engaging visual layouts
Ask yourself: "Would I save this?"
❌Don't
Use pure product introductions
Post unstructured image collections
Ignore user psychology
Ready to Master the Algorithm?
We've studied RED's system for 3+ years. Over 30 brands have gone viral with our algorithm-focused content models. Book a free consultation 👇
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