US streaming App Store search wars: why ‘TV streaming’ is the clean front door (ConsultMyApp)

ConsultMyApp published a fun, data-backed teardown of how US iPhone App Store “streaming” searches actually behave. The short version: it’s not one market, it’s a pile of separate intent fights, and some of the biggest keywords are the easiest places to burn budget.

• Source: ConsultMyApp, “The US Streaming App Search Wars: TV streaming owns the sofa, sports gets messy, and half the country has lost the remote”
• Read: https://www.consultmyapp.com/blog/us-app-store-streaming-apple-ads-search-wars
• Data source (per the article): APPlyzer Apple Search Ads auction stacks (#1 to #5)

The one-line lesson

“Streaming” is too vague to be one category. The money is in mapping intent clusters, then matching ad promise + CPP + first-session flow to the job the user actually meant.

What stood out

• “TV streaming” is the front door (and unusually clean). It’s one of the largest true streaming terms in their set, and the top ad stack looks mostly like actual TV streaming apps.
• Generic “streaming” terms are big but chaotic. The auction stacks show a lot of “adjacent” apps (remittance, banking, news), which is a signal that the user’s job-to-be-done is ambiguous.
• “Free” intent is real, but it gets messy fast. “Free streaming” can be worth targeting, but as queries get more specific (for example, offline), the results can devolve into pure App Store noise.
• Movies is not one fight. Ticketing, reviews, streaming, watchlists, anime, and short dramas all collide on “movie app” type queries. If you bid here, creative has to be extremely explicit.
• Short-drama apps are buying mainstream TV/series intent. They show up across a wide spread of “series”, “tv series”, “drama shows”, and adjacent queries, not just niche short-drama searches.
• Sports streaming is full of betting and prediction apps. The article’s examples show “watch” intent repeatedly colliding with sportsbooks, prediction markets, and casino-style apps.
• Anime is the cleanest kingdom. The piece frames anime as unusually coherent, with a clear leader across core anime terms.
• Kids terms split: specific is clean, broad can be bizarre. Highly specific kids queries behave as you’d hope, but broad “cartoons” intent can pull in irrelevant apps.

Why this matters (practically)

If you treat “streaming” like one keyword set, you will:

• scale spend into ambiguous auctions
• route users to the wrong promise (CPP mismatch)
• misread performance changes as “creative fatigue” when it’s actually intent dilution

Tiny win (45 minutes)

Pick 10 non-brand keywords you currently treat as one cluster (streaming, movies, sports, kids, anime, etc.), then:

1. classify each as clean intent vs chaotic intent by scanning the top organic + ad stacks
2. for the clean ones, write one explicit promise for screenshot #1 (and your ASA creative)
3. for the chaotic ones, either pause or split into micro-clusters with tighter messaging

You’ll usually find 2 to 3 “front door” keywords worth defending, and a long tail where budget disappears politely.