One clip on one account is a single draw from the recommendation system. It may work, but the brand has very little surface area.
Clipping changes the unit of the test. The same idea can be cut several ways and posted through many real accounts, giving the feed more chances to respond.
Some clips will do little. Some will show promise. A few may carry the campaign. You cannot pick those winners in advance, which is why volume matters.
The job is not to pretend virality can be guaranteed. The job is to create enough well-made, well-placed tests that the odds improve.
Traffic quality still matters. A campaign that gets views from suspicious patterns is not a good campaign, which is why the evaluation layer is part of the model.
That is the distribution fan: one source, many cuts, many accounts, and a feedback loop that tells the next batch what the feed actually wanted.
“Posting everywhere is not a reach multiplier. It is a way to create more independent algorithm tests.”