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Re:Launch HN: Promi (YC S24) – Personalize e-commerce discou... by pmoot on Tuesday July 22, 2025 @04:57PM (#44652900)
Yes, that's mostly right. We also vary the discount value, so it's less a binary discount/no discount and more a range. There is often a cutoff though. Merchants can input a hard cutoff e.g. if they want to ensure everyone gets a discount (great if they also have marketing assets for a sale), or if they want to avoid making their sites feel too 'sales-y'. Otherwise the cutoff is defined by conversion prediction, inventory levels, and a few other inputs.

There's actually a lot more we could do to make this cutoff more intelligent though - e.g. at Uber the cutoff was set to exhaust a certain promotional budget. Or we could target a specific ROI if we eventually have good enough predictions.

Re:Launch HN: Promi (YC S24) – Personalize e-commerce discou... by malshe on Tuesday July 22, 2025 @05:40PM (#44653313)
Thanks for the reply. Do you use Bayesian models for this? Btw, Pete Fader[1] has done so much work in customer valuation where estimating the probability of purchase is a crucial aspect. Maybe you already use them.

[1] https://marketing.wharton.upenn.edu/profile/faderp/#overview

Re:Launch HN: Promi (YC S24) – Personalize e-commerce discou... by pmoot on Tuesday July 22, 2025 @07:06PM (#44654044)
We're using a neural network, not a bayesian model. And we haven't used Pete Fader's work, but thank you for the resource.