In Graphic Detail: Why YouTube is a genuine threat to Netflix

The most telling point (so far) of Netflix’s proposed acquisition of Warner Bros Discovery, HBO and streaming businesses came from the company itself. In pushing back on claims that the deal would be anti-competitive, Netflix co-CEO Greg Peters pointed to YouTube as a bona fide rival that it would still trail with Warner Bros stack — a point that would’ve sounded far-fetched not that long ago.

That framing reflects a broader shift in how competition in video is actually playing out. The fight is no longer just about who owns the biggest library or who can stack the most subscribers. It’s also about who captures attention, who sets the viewing habits and who becomes the default place people go when they open a screen.

Which helps explain why Netflix increasingly frames itself not only against other streamers but to YouTube — a platform that dominates watch time, reaches a far broader audience and is quietly reshaping what “television” even means. Read on to see where that shift is now, in clear graphic detail.

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Why media mix modeling is becoming essential for predictive ROAS measurement

Gary Danks, GM, AIM by Kochava

For years, app marketers have leaned heavily on last-touch attribution as the foundation of their measurement strategy. It’s fast, familiar and baked into most performance workflows. But as privacy regulations expand, identifiers disappear and user journeys grow more nonlinear, last-touch attribution’s blind spots are becoming impossible to ignore.

The challenge isn’t that last-touch attribution is wrong; it’s that it’s incomplete. And incomplete measurement inevitably leads to incomplete investment decisions. That doesn’t mean that today’s most effective marketers are abandoning last-touch attribution; they’re pairing it with next-generation media mix modeling to create a more comprehensive, privacy-safe and predictive approach for measuring return on ad spend. MMM doesn’t replace the tactical value of last-touch attribution. It fills in the gaps by capturing the full-funnel impact that the latter routinely overlooks. As mobile marketing accelerates into a privacy-centric future, this combined approach is quickly becoming the new baseline for comprehensively measuring media effectiveness.

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