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Diagnostic System — v1

The 9-Signal Retention System

Views lie. These nine numbers don't. Read them in this order, every time you post, and you'll know within hours whether a format is worth scaling or worth killing.

7.16%
FULL-WATCH RATE — KILL ZONE
2.9s
AVG WATCH / 7.04s CLIP
0.72%
LIKE RATE — BELOW FLOOR
01 / SIGNALS

The nine numbers that matter

Everything else on the analytics screen is noise. These nine, read together, tell you exactly what the audience did with your video — and whether it's a format to repeat.

SIGNAL 01

Hook Retention (first 3s)

Kill below50%
Scale above70%
SIGNAL 02

Completion Rate

Kill below15%
Scale above25%
SIGNAL 03

Watch Time Ratio

Kill below30%
Scale above50%
SIGNAL 04

Like Rate

Kill below2%
Scale above5%
SIGNAL 05

Comment Rate

Kill below0.1%
Scale above0.5%
SIGNAL 06

Share Rate

Kill below0.2%
Scale above1%
SIGNAL 07

Save Rate

Kill below0.3%
Scale above1.5%
SIGNAL 08

Follow Conversion

Kill below0.3%
Scale above1%
SIGNAL 09

Replay Signal

Kill belowno loop
Scale above>100%
02 / COMBINATIONS

Reading signals together

No single number decides anything. It's the pairing that tells the truth — a metric that looks strong alone can be a trap once you check it against its partner.

High views + low completion
The platform tested it wide, the audience bounced early. Volume without retention is a push, not a result — it will not repeat.
Viral trap
Strong hook + weak completion
The open earns the swipe-stop, but the body doesn't hold. Fix the middle, not the opening line.
Structural leak
High likes + near-zero saves
People agreed in the moment but didn't think it was worth returning to. Entertainment, not utility — fine for reach, weak for a course funnel.
Low utility
Low views + high completion
Small sample, but everyone who saw it stayed. The format works — the only problem is distribution, which is fixable. Repost with a sharper hook.
Format confirmed
High saves + high shares
People are treating the video as reference material and sending it to others. This is the strongest signal you have — it predicts compounding, not just one good day.
Compounding asset
High completion + high follow conversion
The audience watched the whole thing and decided they want more of you specifically. This is the only combination that reliably grows the account, not just the video.
Account growth
03 / YOUR NUMBERS

Check your own video

Pull these from TikTok Studio → Overview. Two fields minimum — views and completion — get you a diagnosis.

STAGE
04 / BLUEPRINT

The 30-lesson system

This is the full course this diagnostic comes from. Tap a lesson to mark it read — your progress saves right here, in this browser.

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Ready when you are.
Tap any lesson below to mark it — this works whether you're previewing the curriculum or tracking real progress.
STAGE 01 Foundations
L01–L06
01Why view count is the least useful number you have
02The nine signals — what each one actually measures
03Setting your kill / revise / scale thresholds
04Reading TikTok Studio without the vanity tab
05Building your first tracking sheet
06The five-video minimum before you trust a format
STAGE 02 Signal Reading
L07–L14
07Hook retention — diagnosing the first three seconds
08Completion rate and what "the part that works" means
09Watch time ratio vs raw watch time
10Like rate as a floor, not a goal
11Why comments predict community, not reach
12Share rate — the signal you should weight highest
13Save rate and the utility test
14Follow conversion — separating the video win from the account win
STAGE 03 Format Engineering
L15–L22
15The 9-second hard-cut structure, deconstructed
16Why three cards beats four, almost every time
17Front-loading the payoff line
18Diagnosing a structural leak from the data
19A/B testing one variable at a time
20Killing a format without taking it personally
21Variant generation to avoid duplicate-content flags
22Posting time and audience demographic alignment
STAGE 04 Scaling The System
L23–L30
23Going from one account to a content system
24Programmatic video generation without losing the signal
25Cross-account pattern tracking
26When a confirmed format becomes a product
27Teaching the system to someone else
28Common misreadings — and how to self-correct
29Building your own threshold table from your own data
30The full system, end to end — review and close
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