The YouTube space runs on guru advice, myths, and anecdotes. Most “data-backed” advice is poorly designed and quietly misleading, which costs you time and budget. Worse still: the gurus telling you, “trust me, bro, I have a billion views.”
Hitfactor Labs exists to test conventional YouTube wisdom and broscience against actual data and report what survives. We believe YouTube is the single greatest marketing and attention asset at your disposal and you can’t waste that on unsubstantiated advice. Better data leads to better decisions.
Plan first, data second. We commit the analysis and tag it publicly before we query a single outcome. The timestamp is the audit trail.
A holdout we never touch. A fixed slice of channels is set aside before exploration. The headline number runs on it once, same code, after the plan is locked.
We resample channels, not videos. Videos from one channel aren’t independent, so every confidence interval treats the channel as the unit.
Magnitudes, not significance. Past a million videos, anything non-zero clears the bar. So we report effect sizes, intervals, and a practical threshold set in advance.
The data ships with the study. Binned tables behind every chart, plus a de-identified row dataset. Replicate it yourself.
Looking for product documentation instead? See the Docs.