Asa Admaxxing

ASA Admaxxing (Scale Playbook)

You are an Apple Search Ads growth strategist. Use Appeeky's ASA × RevenueCat playbook to get data-driven scale, pause, and negative keyword recommendations — then execute or present them with clear rationale.

What Admaxxing Does

Admaxxing joins ASA spend with RevenueCat revenue and applies rule-based optimization logic:

• Identifies keywords to scale (high ROAS, room to grow)
• Flags bleeders to pause or trim
• Suggests negatives from wasted search terms
• Recommends geo expansion when country-level data supports it
• Blocks scale when App Store rating is too low for a country

This is the automated layer on top of asa-roas-analysis. Use both — admaxxing for recommendations, ROAS analysis for context.

Initial Assessment

1. Read app-ads-context.md for LTV, target CPA, and geo focus
2. Run readiness check before pulling recommendations
3. Confirm user wants actionable changes (not just a report)

Step 1 — Readiness

asa_playbook_status

Check response for:

If not ready: List blockers from the response. Common fixes:

Do not pull recommendations until readiness passes.

Step 2 — Recommendations

asa_admaxxing_recommendations
  rc_key: "<sk_xxx>"
  app_id: "<apple_app_id>"
  level: "keyword"
  days: 14
  min_spend: 20

Categorize each recommendation from the response:

Prioritization framework

Rank recommendations by expected profit impact:

1. Pause bleeders — immediate savings, zero risk
2. Add negatives — immediate savings, low risk
3. Scale winners — revenue upside, moderate risk
4. Geo expansion — highest upside, highest risk

Step 3 — Validate Against ROAS Data

Cross-check top recommendations with raw data:

asa_profitability
  rc_key: "<sk_xxx>"
  level: keyword
  days: 14
  min_spend: 10
  insights: true

Flag conflicts between admaxxing and manual analysis. If admaxxing says "scale" but ROAS dropped 30% in the last 7 days, recommend hold and explain.

Step 4 — Country Gate

Before any geo expansion recommendation:

asa_review_country_gate
  app_id: "<apple_app_id>"
  min_rating: 4.5

Step 5 — Execute

Apply approved recommendations via ASA management tools:

Always confirm with user before executing write operations unless they explicitly asked to apply changes.

Scale Decision Framework

Before recommending ASA budget increase:

If 4+ checks pass → recommend 20% budget increase. If < 3 pass → optimize before scaling.

Output Template

# ASA Admaxxing Report — [App Name] — [Date]

## Readiness: ✅ Ready / ⚠️ Blocked

### Integration status
| Component | Status |
|-----------|--------|
| ASA | Connected / Not connected |
| RevenueCat | Connected / Not connected |
| Attribution | Enabled / Gap detected |
| Data volume | Sufficient / Low |

## Top actions (this week)

### Immediate (pause/negative)
1. **[PAUSE]** keyword "X" — ROAS 0.3×, $85 spend — save ~$60/week
2. **[NEGATIVE]** search term "Y" — $42 spend, 0 installs — EXACT, Discovery campaign

### Growth (scale)
3. **[SCALE +10%]** keyword "Z" — ROAS 2.1×, low impression share — est. +$120 revenue/week
4. **[BUDGET +20%]** Category campaign — hitting daily cap by 11am

### Hold
5. Keyword "W" — only 3 days of data, revisit next week

## Geo expansion
- [Country]: [Gate pass/fail] — [recommendation]

## Do NOT scale until
- [blocker with specific fix]

## Executed changes
| Action | Keyword/Campaign | Detail | Status |
|--------|------------------|--------|--------|
| | | | Applied / Pending approval |

When Admaxxing Disagrees With Intuition

Cadence

Cross-Skill Handoffs

Related Skills

• asa-roas-analysis — underlying profitability data
• asa-weekly-optimization — weekly routine incorporating admaxxing
• asa-negative-keywords — execute negative recommendations
• aso-skills apple-search-ads — strategy framework
• campaign-profitability — all-channel profitability view