1) Rate limiting of login attempts takes a bite out of the large numbers you're talking about. If we are only looking at retail companies without rate limiting, well, duh, I guess >90% makes sense, but I expect a large portion of the global e-commerce retail segment _does_ employ rate limiting of logins.
2) The report lists, "Averages derived from customers’ login traffic before Shape Enterprise Defense was deployed on login applications" - so this is absolutely a biased sample. These are clients that signed up for help stopping this problem.
3) It bugs me how ambiguous the report is about how they aggregate to 90%. I worry it's a simple [total fraudulent logins] / [total login attempts] across all their client retailers, which will be heavily biased by the retailers that don't have login limiting, and doesn't really describe the situation. A much better number I'd like is the median percentage of fraudulent logins attempts across retailers.