No, that's not what the strategy is and they're quite open about it - the strategy is to maximize user consumption for every user, because that keeps them subscribed. I think a lot of people think that they use sophisticated analytics and machine learning etc to decide what to greenlight, but they don't. They use the judgment (and politics, and egos) of Hollywood studio executives (and often the same Hollywood execs that a few years ago were employed in "legacy" media). Although I will grant that they've been innovative in producing/distributing international content, this is really just globalization and labor arbitrage (it is cheaper produce content not in Hollywood, that's not news - they just spend the extra $$$ localizing international content to different global target distribution markets but again, this flow has happened forever, it's just typically been Hollywood -> localization -> foreign market rather than foreign production -> localization -> Anglophone market).
Where analytics and ML does come into play is deciding which things out of their enormous catalogue they push to individual users at any one time - that process is highly reactive, individualized, dynamic - that's why strange and seemingly random media become big hits on Netflix while being largely ignored by the commentariat, and vice versa, why series with dedicated fanbases don't get renewed (the analytics tell you that, despite the apparent success, further investment will not improve user engagement with the platform by enough to be worth the spend).