US streaming App Store search is not one market, it’s a pile of intents (ConsultMyApp)
A skimmable summary of ConsultMyApp’s ASA/organic keyword analysis for US streaming searches, where ‘TV streaming’ is clean, but sports, free, and device-utility terms are chaos.
ConsultMyApp published a fun, very practical breakdown of how people actually search for “streaming” in the US App Store, using search-score / estimated impressions plus Apple Search Ads auction stacks (P1-P5).
- Source: ConsultMyApp, “The US Streaming App Search Wars…”
- Read: https://www.consultmyapp.com/blog/us-app-store-streaming-apple-ads-search-wars
- Data source (per the article): APPlyzer Apple Search Ads auction data
The one-line lesson
Stop treating “streaming” as a category, treat it as a set of intent clusters (and build separate keywords, ads, and CPP creative for each cluster).
What stood out
- “TV streaming” is the clean front door. It’s one of the biggest true streaming terms in their set, and the paid stack is relatively coherent (real streaming brands show up).
- Generic “streaming” terms are where budgets go to get lost. The broader the term, the more the auctions drift into adjacent utilities and unrelated apps.
- Sports intent gets hijacked. Their examples show “sports streaming” auctions repeatedly invaded by betting/prediction apps, not just streamers.
- Anime is unusually clean. Compared to sports/free/movie searches, anime searches are more consistent and dominated by the obvious leader.
- Device and remote-control intent is massive. A meaningful slice of “streaming” search volume is actually “how do I control/cast the thing on my wall?” not “what do I watch?”
Why this matters (practically)
If you lump everything into one campaign + one generic listing message, you end up:
- paying for the wrong job-to-be-done
- reading noisy search terms as “creative fatigue”
- shipping CPPs that are too broad to confirm intent in 3 seconds
Tiny win (45 minutes)
- Pull your top-spend queries across streaming keywords.
- Label each query as one intent: content, sports, kids, anime, free/value, device/remote, casting/mirroring.
- For the biggest 1-2 clusters, build one CPP where screenshot #1 matches that intent explicitly.
You’ll usually find at least one cluster where the right move is not “bid harder”, it’s “stop being vague.”
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