Sure does! And if I were BERLIN creators Álex Pina and Esther Martínez Lobato, I'd be pissed!
When BERLIN season 1 launched back on December 29th 2023, the show performed to normal expectations in every language-- except English.
In fact, according to their internal system "Delta-S" (lol), the English dub of BERLIN season 1 had the lowest metrics against expectations of all time on Netflix for any show in any language.
The SAG-AFTRA English dub voice actor for the main character "Berlin" in the show MONEY HEIST had been replaced in the spin-off with a new actor in Canada for A.I. training (just one show of many that Netflix sent to Canada to replace SAG-AFTRA actors for A.I. training).
Unfortunately for Netflix, the character Berlin starts speaking (with his new voice, and his bizarre A.I. lip movement) in close up within the first 2 minutes of the first episode.
This resulted in most English dub viewers turning off the show before it reached the 2 minute mark of episode 1. On average, around a half a million English dub view hours a day bled out of the show in the first 2 weeks from launch.
If a viewer doesn't reach the 2 minute mark, the viewer doesn't count toward Netflix metrics. This enabled the Netflix VP Innovation A.I. and the Netflix Director Dubbing UCAN to disregard all of the lost English dub "consumption" on Berlin season 1, because most English dub viewers were lost before the 2 minute mark and swept under the metrics rug. They were covering up how much corporate waste went into spending around $3 to $5 MILLION US dollars on comically unscalable A.I. training on Berlin S1 English dubbing-- all that wasteful A.I. spending on just this one show! Imagine how much investor money they've been wasting across the slate on unusable A.I. training for years.
And to make the A.I. training happen for BERLIN, they had the SAG-AFTRA voice cast of MONEY HEIST replaced, which of course resulted in viewers dropping out.
The Netflix VP Innovation A.I. and the Netflix Director Dubbing UCAN spun BERLIN season 1's metrics to their colleagues internally, and to the producers/talent, and claimed that the show's English dub viewer metrics were in the normal "stickiness" range and that their comically wasteful A.I. training experiment had nothing to do with the show's failure in English. Internally to their colleagues, they also claimed the show failed in English because the show itself was "bad" (according to them).
"Stickiness" is one of the arbitrary and flexible metrics that Netflix execs use internally and to negotiate with talent reps, partners, and advertisers. It just means that if a viewer gets to the 2 minute mark, they count toward the show's "stickiness"-- and the "stickiness" is good if viewers on average get past a later minute mark in the show (this later minute mark can change arbitrarily), or the "stickiness" is bad if the viewers on average turn it off before that arbitrary and flexible later minute mark.
Sure, maybe the show's "stickiness" % was in a normal range for the tiny fraction of English dub viewers who watched the show past 2 minutes. But most of the English dub viewers turned the show off before they could be counted toward "stickiness" at the 2 minute mark.
These execs, who had spent millions on unscalable and remarkably expensive BERLIN season 1 A.I. training, ignored how the show’s % of overall global engagement in nearly every other dubbed language went up compared to MONEY HEIST. The show only failed in English, which is a huge percentage of the overall global consumption on a show like BERLIN.
This lack of vision can result in grave harm to a show or IP.
This is an example of how Netflix execs can spin metrics both internally and externally however they please, without repercussions and with protection from co-CEOs Ted Sarandos and Greg Peters.
This is just dubbing metrics. What do you think Netflix senior execs get up to when using flexible metrics to negotiate with talent/producers, partners, and advertisers? Or when they communicate with press, government regulators, and investors?