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mkt-ad-optimization

mkt-ad-optimization

Optimize digital advertising campaigns across Google Ads, Meta Ads, and LINE LAP including bidding strategies, audience targeting, creative testing, and ROAS optimization. Use this skill when the user needs to improve ad performance, reduce CPA, select bidding strategies, or allocate budget across platforms — even if they say 'our ads aren't working', 'redu…

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: "mkt-ad-optimization" description: "Optimize digital advertising campaigns across Google Ads, Meta Ads, and LINE LAP including bidding strategies, audience targeting, creative testing, and ROAS optimization. Use this skill when the user needs to improve ad performance, reduce CPA, select bidding strategies, or allocate budget across platforms — even if they say 'our ads aren't working', 'reduce our cost per acquisition', 'Google vs Facebook ads', or 'improve our ROAS'." metadata: category: "WP-09 數位行銷" tags: ["digital-marketing", "advertising", "google-ads", "meta-ads"]

Digital Ad Optimization

Framework

IRON LAW: Optimize for the Business Metric, Not the Ad Metric

High CTR with low conversion = wasted clicks (attracting curiosity, not buyers).
Low CPC with no sales = cheap traffic that doesn't convert.

The only metrics that matter: CPA (Cost Per Acquisition), ROAS (Return On Ad Spend),
and ultimately: profit per ad dollar. Optimize the funnel, not the ad.

Platform Comparison

PlatformBest ForAudienceAvg CPC (Taiwan)Targeting Strength
Google SearchHigh-intent queries, direct responseActive searchersNT$5-30Keyword intent (strongest)
Google DisplayAwareness, retargeting, broad reachPassive browsingNT$1-5Contextual, audience
Meta (FB/IG)Social discovery, visual products, lookalikeSocial usersNT$3-15Interest, behavior, lookalike
LINE LAPTaiwan-specific, broad reachLINE users (95% Taiwan)NT$3-20Demographics, interests
YouTubeVideo branding, considerationVideo viewersNT$1-5 (CPV)Intent, affinity, in-market
TikTokGen Z, viral products, short-form videoYoung demographicNT$2-10Interest, behavior

Bidding Strategies

StrategyHow It WorksWhen to Use
Manual CPCYou set max CPCLearning phase, small budgets, full control
Target CPAAlgorithm optimizes for target cost per acquisition30+ conversions/month, known CPA target
Target ROASAlgorithm optimizes for target return on ad spendE-commerce, known revenue per conversion
Maximize ConversionsSpend full budget to get max conversionsGrowth phase, less concerned about CPA
Maximize ClicksMost clicks for budgetTraffic campaigns, awareness

Optimization Workflow

Phase 1: Audit Current Performance

  • CPA by campaign, ad group, keyword/audience
  • Quality Score (Google) or Relevance Score (Meta)
  • Conversion rate by landing page
  • Wasted spend: search terms with clicks but no conversions

Phase 2: Quick Wins (Week 1-2)

  • Add negative keywords (Google Search)
  • Pause underperforming ad groups/audiences
  • Reduce bids on high-CPA keywords
  • Fix landing page mismatches (ad promise ≠ landing page content)

Phase 3: Structural Improvements (Week 3-4)

  • Audience segmentation: separate cold, warm, hot audiences
  • Creative refresh: new ad copy/images (fatigue sets in after 2-4 weeks)
  • Landing page optimization: speed, mobile, clear CTA

Phase 4: Scaling (Month 2+)

  • Increase budget on winning campaigns (incrementally, +20%/week)
  • Expand to new audiences (lookalikes, new interests)
  • Test new platforms
  • Build retargeting funnel: awareness → consideration → conversion

Creative Testing (A/B)

ElementWhat to TestMinimum Sample
HeadlineBenefit vs feature, question vs statement1,000 impressions each
Image/VideoProduct shot vs lifestyle, static vs video1,000 impressions each
CTA"Shop Now" vs "Learn More" vs "Get Offer"500 clicks each
OfferFree shipping vs % discount vs gift100 conversions each

Output Format

# Ad Optimization Report: {Campaign/Account}

## Performance Summary
| Metric | Current | Target | Status |
|--------|---------|--------|--------|
| Spend | NT${X}/month | — | — |
| CPA | NT${X} | NT${X} | 🟢/🟡/🔴 |
| ROAS | {X}x | {X}x | 🟢/🟡/🔴 |
| CVR | {%} | {%} | 🟢/🟡/🔴 |

## Top Performing
| Campaign/Ad | CPA | ROAS | Action |
|------------|-----|------|--------|
| {name} | NT${X} | {X}x | Scale +20% |

## Underperforming
| Campaign/Ad | CPA | Issue | Action |
|------------|-----|-------|--------|
| {name} | NT${X} | {diagnosis} | Pause/Optimize/Restructure |

## Optimization Plan
| Priority | Action | Expected Impact | Timeline |
|----------|--------|----------------|----------|
| 1 | {action} | CPA -{X%} | {weeks} |

Gotchas

  • Learning phase needs patience: Google/Meta algorithms need 50+ conversions per week per ad group to optimize. Restructuring too frequently resets learning.
  • Attribution isn't perfect: Google takes credit for Google, Meta takes credit for Meta. Use UTM parameters and a neutral analytics tool (GA4) for cross-platform attribution.
  • Creative fatigue is real: Even winning ads degrade over 2-4 weeks as the same audience sees them repeatedly. Refresh creatives regularly.
  • Taiwan ad market specifics: LINE LAP reaches demographics that Facebook is losing (older users). Google is dominant for search intent. Mix platforms based on your audience.
  • iOS privacy (ATT): Since iOS 14.5, Meta tracking is limited. Expect less accurate reporting for iOS users. Use conversion API and model-based attribution.

References

  • For Google Ads account structure best practices, see references/google-ads-structure.md
  • For Meta Ads creative guidelines, see references/meta-creative.md
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