Read the definition before comparing the number.
Hook rate and thumb-stop are informal labels. Record the reporting tool, exact numerator, denominator, time threshold and attribution window used for your campaign. Do not assume that two dashboards use the same definition.
Creative timing is not viewer retention.
The earlier market medians, sample counts and fixed score penalties are withdrawn because their measurement lineage has not been verified. Pausing a creative establishes what appears at a timestamp, not how long viewers watched.
Separate the opening from the rest of the ad.
Review whether the opening makes the message understandable, then whether the demonstration and next action remain clear. A proposed improvement to the opening does not establish an improvement in later viewing or conversion.
Turn observations into an edit hypothesis.
- Identify what the first visible frame communicates.
- Check whether the promise and brand are understandable.
- Compare the message with sound on and off.
- Record the exact change and what stays constant.
These are editorial questions, not measured winning patterns or guaranteed score improvements.
Preserve the conditions around the result.
Keep the original creative and the proposed revision. Record audience, placement, delivery, spend, metric definition and observation window. Differences between those conditions limit what can be attributed to the edit.
Keep each type of evidence separate.
Beat the Skip is a model diagnostic, not the percentage of viewers who watch. Heuristic attention timelines are not measured retention. Named outcome-model validation, cohort coverage and run stability must be reported separately; Meta and unsupported cohorts remain directional only.
See the methodology for recorded validation and its limits.
The other five guides in this hub.
The first 2 seconds, frame by frame
Inspect visible opening evidence and define a testable edit hypothesis.
Where brand cues belong
Questions for reviewing brand visibility, timing and legibility.
How to read a SaliencyLab score
What 72 means. What 48 means. What no number means at all.
Synthetic users vs live tests
When simulation is the right call, and when it is not.
Why our benchmark is credible
Inspect source provenance, cohort coverage and the limits of model validation.