Aso ppo treatment

aso-ppo-treatment

Keyword ranking gets you seen; your screenshots decide whether you get downloaded. Apple gives you a free A/B testing tool — Product Page Optimization (PPO) — and most developers never use it. This skill designs the treatment worth testing and hands you the steps to run it.

This is a brief, not an automated experiment. Apple runs the test; this tells you what to test and how to set it up. Nothing here touches your live listing.

When to reach for this

• Your measured conversion (downloads ÷ product-page views, from App Store Connect → Analytics) is flat or below your category.
• Your first screenshot is a feature/UI screen or a bare title card rather than a benefit ("here's what your life looks like with this app").
• You've optimized keywords (rank is fine) but installs aren't following.

If you don't have a measured conversion baseline yet, note that and recommend turning on Analytics first — you want a number to beat, not a guess.

What to produce

1. The thesis. One line: what the current product page fails to communicate in the first screenshot, and the outcome to lead with instead. Outcome-led beats feature-led — "Never miss a bill again" outperforms "Bill tracking with reminders."

2. The treatment. A concrete, ordered screenshot set for the variant:

   • Shot 1 — the outcome/benefit headline (the single most important frame; ~60% of viewers never scroll past it).
   • Shots 2–3 — proof it delivers (the key moments, still benefit-framed, not a UI tour).
   • Later shots — supporting features, social proof, breadth. Each with the caption to test and why it should convert better than the current one.

3. The setup steps — how to run it in App Store Connect PPO:

   • App Store Connect → your app → Product Page Optimization → create a test.
   • Add a treatment (up to 3) — upload the new screenshot set (and/or icon / preview) for the treatment.
   • Set traffic proportion across treatments; pick the locales.
   • Start the test.

4. The guidance — verbatim, so nobody reads an early result as a verdict:

   • Let the test run toward Apple's confidence threshold (PPO reports when a treatment is a statistically significant winner) — and up to ~90 days.
   • Don't stop early on a lead: small samples swing. Read it when Apple says it's confident, not when you're excited.
   • Change one thing at a time (screenshots or icon, not both) or you won't know what moved the number.

Output

Write marketing/aso/<app>/ppo-treatment-<date>.md:

• Thesis (one line).
• Treatment — the ordered shot list with captions + the per-shot rationale.
• Setup steps for ASC PPO.
• Guidance — the run-length + confidence caveat, verbatim.
• Evidence framing — public PPO case studies have measured large conversion swings from outcome-led first screenshots; cite it as public precedent, and never as a prediction about this specific app's numbers.

Chain into asc-shots-pipeline (iOS) or gplay-screenshot-automation (Android) to actually render the treatment screenshots, and aso-screenshot-score to sanity-check the set before you upload it.

Honesty rules

• It's a recommendation you run yourself in App Store Connect — not an automated test, and nothing here writes to your listing.
• No fabricated conversion predictions. The evidence is public PPO results have shown outcome-led screenshots convert better — cited precedent, never a claim about your app's expected lift.
• The run-length / confidence guidance is verbatim so an early, noisy result never reads as a verdict.

Honest limits

• iOS only for the test tool — PPO is Apple's. Google Play has its own store-listing experiments (Play Console → Store presence → Store listing experiments); the treatment thinking transfers, the setup steps don't.
• It designs the treatment; it can't run the test, read Apple's Analytics, or measure the outcome for you — you start the test and read the result in ASC.
• Screenshot design is judgment; this gives you a strong, testable hypothesis, not a guaranteed winner. That's what the A/B test is for.

No external dependency

Self-contained — creative strategy + the public PPO workflow. No paid API, no account, no credentials.

Run it when conversion is the bottleneck

Rank and conversion are different levers — when ranking is healthy but installs lag, this is the lever. Re-run it each time you have a new outcome hypothesis or a fresh conversion baseline to beat.

You designed this treatment by hand. ShipASO — the hosted agent — proposes the outcome-led PPO treatment automatically on a keyed run and tracks the measured conversion after you ship it, so you see whether the number actually moved. Your store credentials are never held. → https://app.shipaso.com

The plugin is complete and free; the hosted tier just sells not having to remember.