Python Cards
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The volatility between each have been extremely dependent upon the demand and supply matrixes of retail buyers and the actual P2P growth. As stated before theres higher volatility on the P2P side, as we gain more P2P members they don't all scale to higher-end operations at the same time, generally they take years to progress to the levels in which they need to be for us to have a fluid 1:1 operation.Ah so like a predictive analytics system to fill in the P2P gaps when the demand goes up... nice. May I ask for instance on rough estimates what have they been on average for the year of 2026 (external versus internal), external basically meaning the following:
INTERNAL EXTERNAL P2P SKIMMING OPERATION AFFILIATE DATA INTERNALLY ACQUIRED
I think this would be interesting to look at for myself and other retail buyers, soley because we want to make sure the quality standards stay up to par.
It would safe to say on media about 20%-40% will come from external sources depending on the gap between P2P and the retail, by the time that they intersect, theres generally a 6 month lag. On certain lower retail demand dates then it can easily be as low as 10% from external.
All depends on how the lagging indicators mix with the retail demands.