RecipeTikTok Ads
Read TikTok video metrics as a retention curve
TikTok's video engagement read for the cutting room: where viewers leave, per asset.
IntentWatch time, completions and drop points per creative.
- 2
- Steps
- 2
- Tools
- 1
- Rules
- 1
- Failure modes
When to use it
Use it when
- Creative reviews.
- Before refresh briefs.
Do not use it when
- No specific contraindication beyond the preconditions below.
What it needs first
Required
Preconditions
- The account is ticked in the dashboard, confirmed via list_accounts.
Inputs
window- Analysis window.Default: last 30 days.
Procedure
In order. Every tool named is one the gateway ships, and links to its reference.
Pull video metrics per ad.
Join assets so the drop points name videos.
Decision rules
The observable condition, what it lets you conclude, and what takes the conclusion back.
When
Average watch time trails the account norm on the spenders
Conclude
Creative finding with the second marked: the refresh brief writes itself.
Evidence every conclusion must carry
- Every figure carries its account, metric and window.
- Anything below a readable sample size is reported as unjudged, not as zero.
Where the agent stops
- The readout changes nothing. Any change it motivates goes through Safe Writes: preview, human confirmation, then apply.
How it goes wrong quietly
The cases where the analysis is wrong and still looks right. Read them before trusting a number.
- Sound-on assumptions fail on muted autoplay: retention reads differently across surfaces.
What the answer contains
- 01Readout
- The figures, with windows and accounts named.
- 02Flags
- What deserves a deeper skill or a human decision.