A suggested price for a deal, built from prices that already closed, with the reasons behind it and a report on how close it lands
A suggested price is the number Zooly would put on a deal between one brand and one talent for one deal type: what that work is worth for that person, and the amount both sides are most likely to agree to.
It is a starting point, not a quote. Nobody is bound by it, and nobody receives it unless a person on the team shares it. Asking for one costs nothing, because it is worked out from facts Zooly already holds: no paid lookups and no model call per offer.
The price on a deal idea is filled from the brief's budget, or the talent's own minimum, or left blank for the team to set. The suggestion described on this page is what the team sees when it asks for a price, and connecting the two is the next step.
The suggestion starts from a market band for the deal type and the talent's size, then blends in real prices, weighted by how much of each there is.
The band.
The real prices. Deals from the last two years that reached a price both sides accepted, and no others. A deal that was declined, expired or cancelled never agreed on a number, so it teaches the pricing nothing.
The more of these there are, the more they count, up to a point. A researched rate range, when Zooly has one for the talent, is blended in too.
The rules on top.
When a fact is missing the suggestion says so instead of pretending: a talent with no follower count is priced as a micro creator, and a show with no download figure is estimated from the host's following or assumed to be small. A thin answer comes back with low confidence.
A suggestion is never just a number. It comes back with:
The reasons read like this:
When the budget is the problem, the reason says so in plain words:
A budget below the talent's minimum comes back marked separately from the number, so it can be handled differently from a suggestion that simply fits the budget.
The report replays every deal from the past year that reached an agreed price. For each one it asks what Zooly would have suggested before that deal existed, using only the deals that came before it, so a deal never predicts itself. Then it compares the two.
The report groups the results by deal type and size, and shows:
The last one is the closest thing to live accuracy: if Zooly opens offers at its own suggestion, the gap between the opening price and the agreed price is the suggestion's real error.
A person reads the report and moves a band by hand. A group needs at least five deals before its band is worth touching, and an average gap under about ten percent is treated as noise. When a band does move, the version changes, so it is clear which version priced which deal.
Nothing is learned automatically. The report is a report.