Apple Search Ads (ASA) Deep Analysis

Process

1. Collect ASA account data (exports from Apple Search Ads dashboard or pasted metrics)
2. Identify active placement types (Search Results, Search Tab, Today Tab, Product Pages)
3. Evaluate all applicable checks as PASS, WARNING, or FAIL
4. Calculate ASA Health Score (0-100)
5. Generate findings report with action plan

What to Analyze

Campaign Structure (25% weight)

• Brand keyword campaign present (own app name + misspellings)
• Competitor campaign present (competitor app names as keywords)
• Category campaigns targeting high-intent generic terms (e.g. "workout app", "budget tracker")

• Search Match campaigns active in at least one ad group for discovery
• Search Match ad groups isolated from Exact Match (separate ad groups — never mix)
• Search Terms Report reviewed to mine converting queries for Exact Match promotion

• Brand / Category / Competitor should be separate campaigns (different CPT bids, budgets)
• Search Match ad groups isolated from manual keyword ad groups — NEVER mix in same ad group
• Goal: let Search Match discover, then promote winners to Exact Match campaigns

Bid Health (20% weight)

• CPT vs category benchmarks (see Benchmarks section below)
• TTR (Tap-Through Rate): benchmark >2.5% for Search Results, >1.5% for Search Tab
• Conversion Rate (tap → install): benchmark 50-65% for brand terms, 20-40% for category
• CPT/CPG (Cost Per Goal): compare against target CPI/CPA from MMP

• Manual CPT bidding appropriate? (Or use Apple's CPA Goals auto-bidding for scaled accounts)
• CPA Goals available at campaign level — evaluate if conversion volume supports it (>100 installs/month per campaign)
• Are bids differentiated by match type? (Brand Exact > Category Exact > Search Match)
• Keyword-level CPT bids set, not just ad group default?

• Irrelevant Search Terms (from Search Match) identified and excluded via negative keywords
• Low-performing keywords paused or bid reduced (TTR <1% + high CPT)
• High-volume generic terms checked for intent quality (avoid "free apps" type queries)

Creative Sets (15% weight)

• Custom Product Pages created in App Store Connect? (ASA Creative Sets pull from CPPs)
• At least 3 CPP variants tested per campaign type (different value props per audience)
• Creative Sets assigned to high-spend ad groups
• Screenshot/preview variations aligned with keyword intent (e.g. fitness keywords → fitness screenshots)

• App icon, subtitle, and first 3 screenshots optimized — these show in ads by default
• Short description (170 chars) compelling and keyword-rich
• Preview video present (strongly recommended for TTR improvement)

• Are different Creative Sets being A/B tested within ad groups?
• CPP performance compared: which Creative Set has highest TTR and lowest CPI?

Attribution & MMP Health (15% weight)

• MMP (AppsFlyer / Adjust / Branch / Singular) integrated with ASA via SKAdNetwork + ATT
• ASA is properly connected as a partner in MMP dashboard
• In-app events being sent back to ASA (enables CPA Goals and ROAS optimization)
• Post-install event quality: are purchase, subscription_start, or other revenue events tracked?

• SKAdNetwork conversion values configured in MMP (maps user actions to conversion windows)
• ATT opt-in rate monitored (low ATT rate = less MMP data, more reliance on SKAN)
• Privacy threshold considerations: are campaigns getting SKAN postbacks or null reports?

• Default ASA attribution: 30-day click, 1-day view — appropriate for app install goals?
• For re-engagement or subscription goals: evaluate longer lookback windows

Budget Pacing (10% weight)

• Daily cap set at campaign level (budget pacing in ASA is daily, not monthly)
• Actual daily spend vs daily cap ratio: flag if consistently hitting cap (could be missing volume)
• Conversely: flag if spend is <50% of daily cap (creative or bid issue, not budget)
• Budget split across placement types aligned with performance (don't over-invest in underperforming placements)
• Lifetime budget campaigns (if used): check end dates and pacing curves

TAP Coverage — Placement Types (10% weight)

• Search Results: must be active (highest intent placement)
• Search Tab: active for scale? Evaluate CPT and TTR vs Search Results
• Today Tab: only if budget >$3k/month and brand awareness is a goal (high CPT, low intent)
• Product Pages: competitive opportunity — are competitor CPPs being targeted?

Goal CPA / KPI Assessment (5% weight)

• Tier 1 (US, UK, AU, CA, JP): CPT 2-3× above global average; highest LTV
• Tier 2 (DE, FR, KR, SG, HK): CPT 1-1.5× above global average
• Tier 3 (BR, IN, MX): CPT 30-60% below Tier 1; high volume, lower LTV

• Actual CPI vs target CPI (from MMP) — flag if >2x target
• CPI trend over 30 days (improving or worsening?)
• Revenue events: is ROAS positive within MMP attribution window?

Output Format

## Apple Search Ads Audit

**ASA Health Score: [X]/100**

### Critical Issues ([count])
- [Issue with specific impact and fix]

### High Priority ([count])
- [Issue]

### Campaign Structure
PASS/WARNING/FAIL for each check category

### Benchmark Comparison
[Metric] | Your Account | ASA Benchmark | Status

### Quick Wins (do this week)
1. [Most impactful fix with expected outcome]
2.
3.

### Recommended Next Steps
[Prioritized action plan]

Scoring Weights

Data to Request from User

• Campaign list with spend, installs, CPT, TTR, CVR (last 30 days)
• Active placement types
• MMP being used (AppsFlyer, Adjust, Branch, Singular, or none)
• Target CPI / CPA and app category
• Countries/regions active
• Whether Custom Product Pages are set up in App Store Connect