@michelletandler Is it possible to compare to 2019? H1 2021 feels like an unfair baseline comparison because NYC was still loosening Covid restrictions in summer 2021.
In other words, I wonder how much increased social activity, tourism, etc. explains the Y/Y increase in reported crime.
@pc4media What if Q1 2020 was the aberration, and the benchmark is misleading? Would love to see 2019 data.
Simpler answer: higher quantity of digital activities + lower quantity of in-person = lower quality of digital.
Easier to increase quantity than quality.
@pc4media Guesses:
1) Includes new customers / is not a fixed cohort — huge increases in the other volume metrics seem to suggest this.
2) Something about Covid. E.g. remote work and digital transformation. I don’t know enough about HubSpot’s customer base.
@girdley@aaronrubin@theunemployeda1@haydenjcohen More data obviously helps, but there are also pretty quick diminishing returns. Plenty of payment processors have access to similar detailed data sets but haven’t built effective models to make use of it.
@aaronrubin@theunemployeda1@girdley@haydenjcohen Yes (Riskified rep here). A lot of retailers have had a similar realization recently of how much these bad actors cost, and like @girdley said it’s a non-trivial tech problem to identify them accurately.
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@tanayj You can argue tickets are commoditized, but here’s a similar finding: I’ve seen several experiments show that online retail conversion rates are higher when shipping costs (assuming it’s not free) are not included in item/cart totals until the very end of checkout
@tanayj StubHub learned the same thing 6 years ago. They changed the whole site to showing actual prices despite negative A/B tests, and they took a revenue hit for several quarters before switching back: https://t.co/tecNTKxxNs
@philmichaelson@marketmkrs@Post_Market LTV is also dangerously overestimated in a similar way. True contribution margin should usually include a lot of SG&A costs, e.g. customer service.