Lesson · Day 2

How to Structure a Video That Goes Viral

The three parts every viral short shares — a killer hook, a tight body, and a clear CTA — and how each choice shapes your retention curve and reach.

1

Anatomy of a 60-second video

Every scroll-stopping short has three parts. Slide to change the length of each.

HOOK5s
BODY45s
CTA10s

Total: 60s

5s

First seconds — a question, a bold claim, a surprising visual.

28.57142857142857

Perfect — grabs & sets stakes

45s

The value — story, tip, or transformation.

50
10s

Call to action — follow, save, comment, visit.

50

Clear ask — good

2

The retention curve

Every second, some viewers scroll away. This curve is exactly what the platform sees.

Avg retention

67%

🔥 Viral zone
50%100%0%HOOKBODYCTA0s30s60s

🎚️ Tune your video

Move the sliders and watch the curve above respond.

70%

How many people are still watching after 5 seconds?

62.5
60%

Is the body engaging enough to hold them?

55.55555555555556
50%

Does the last second make them rewatch?

50
3

Watch % → Views

Views are calculated live from your average retention.

Estimated reach

0

views

Pushed to non-followers — reach grows.

📐 The formula

views ≈ 500 + (retention%)³ × 250,000

Retention is cubed — going from 50% → 80% doesn't double views, it quadruples them.

~25%Weak hook → algorithm skips
~55%Average → normal reach
~80%Strong → trending zone
4

How the platform pushes in waves

TikTok / Facebook / Instagram show your video to a small batch first. If retention stays healthy, they push to a bigger batch — and keep going until people stop watching.

55%

How well your video holds the first ~200 test viewers.

46.666666666666664
1
200

viewers

55%

watched

2
1.0K

viewers

49%

watched

3
5.0K

viewers

41%

watched

4
25K

viewers

31%

watched

5
100K

viewers

19%

watched

Total reach

31,200

views across all pushes

🔥 Big push before it slowed

Why retention drops as reach grows: the first batch is your ideal audience. As the platform pushes to broader crowds, fewer people find it interesting — retention falls naturally. When it drops below ~35%, the algorithm decides the video has peaked and stops pushing.