This makes no sense. If I just bought a mattress, the prior probability of a random person buying it is irrelevant. What's relevant is the posterior distribution of what people buy after buying a mattress. Yes, you might buy another one, but what about other bedroom accessories for example?
A mattress might not be the best example though, because what really matters here is the expected value from the posterior probability, which includes the price. So a more expensive product with a slightly lower probability of purchase might yield a higher expected value than cheaper products with higher probability.
Anyway, that's orthogonal to the discussion: my point is that it's the posterior distribution conditioned on the mattress purchase that should be modeled, not the comparison with random people that may or may not just have bought a mattress.