A non-marketing example:
We were onboarding a large new client to our SAAS product. This process involved creating accounts for all of their employees (tens of thousands) and sending emails with an activation link. (Where they'd be able to set up their password.)
Our system sends these emails in batches, and as soon as the first batch went out we got an alert from our monitoring system that our bounce rate was surging - high enough to risk a sending pause from Amazon SES. We stopped sending and investigated the issue, and it turned out that the email list we were given was a mess - it included all current employees, but also a huge number of former ones. Just under 1/10th of the emails in our first batch were invalid.
We asked the client to give us a better list, but due to internal issues they couldn't get that to us any time soon. Meanwhile they were breathing down our necks to get these emails out ASAP, and they were a large enough client that our management wanted to keep them happy, so we tried out one of these email validation services. Unfortunately, it didn't work. It turns out that this technique doesn't work for all mail servers. It was reporting every email as valid, even ones we knew were invalid since they'd already hard bounced.
(Edit: thinking back - this was several years ago - I think it wasn't saying that they were valid emails, just that it couldn't tell whether they were valid or not - the service was able to detect that the server wasn't rejecting non-existent addresses.)
We ended up unpausing the emails and just hoping for the best. Ended up with something like an 8% bounce rate that eventually fell off our record as our normal sending patterns resumed. Amazon's guidelines say they might cut you off when you hit 10%, so we cut it pretty close.