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:

1

1st Hour Engagement

Clicks, comments, likes within the first hour determine initial reach

2

Dwell Time

How long users spend reading your content affects algorithm scoring

3

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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