Field notes · ASO practice

Specific, evidence-sourced writing on ASO experimentation.

Evidence, bounded AI, and what good looks like when ASO programs compound. Field notes from the ASOLOOP team and the operators running real PPO/CPP cycles on the product.

6 posts · cadence per capacity, per the editorial rhythm in docs/marketing/editorial.md

More from the field

5 posts

In-house specialist · MOFU
ASOMay 26, 20268 min read

Auto-apply-winner or autopilot: the layered automation choice ICP 1 keeps getting wrong

Two automation opt-ins. They sound similar enough that ICP 1 conflates them, treats them as a one-versus-the-other choice, and ends up either over-automating their high-stakes apps or under-automating the routine ones. Here is the actual decomposition — what each opt-in removes, what it leaves, and which of your apps belongs in which configuration.

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In-house specialist · MOFU
ASOMay 18, 20267 min read

Reversibility as a product principle: why every signal in ASOLOOP can be revoked

Most ASO tools optimize for the forward path — the next recommendation, the next score, the next dashboard view. ASOLOOP optimizes for the path back. Every signal can be inspected, suspended, downweighted, or revoked. Here is why that is a product-architecture commitment, not a feature.

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In-house specialist · TOFU
ASOMay 11, 20267 min read

Your app is not generic: why per-app, per-audience learning beats global ASO models

Most ASO tools score your app against a global model — a 'difficulty' number derived from the whole catalog. The number is the same shape for a casual gaming title, a healthtech app, and a B2B fintech. The shape of the work is not. Here is what changes when learning is per app, per audience instead.

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In-house specialist · TOFU
ASOMay 8, 20266 min read

How to defend ASO ROI to your VP in dollars (not CVR points)

Your VP reads dollars. Your dashboard shows CVR. The translation between them is where most ASO programs lose their case for next quarter's budget. Here is how to do the translation honestly.

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In-house specialist · TOFU
ASOMay 8, 20267 min read

What 'inconclusive' actually means: a primer on signal precision

Apple says 'inconclusive.' Your tool nods along. But three completely different conditions can produce that same word — and only one of them is a dead end. Here is how to tell which is which.

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Comparing tools?

See how ASOLOOP stacks up against your current ASO stack.

Head-to-head breakdowns vs AppTweak, SplitMetrics, MobileAction, Sensor Tower, and the spreadsheet you’re replacing — the decision-stage detail these field notes lead up to.

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