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유료 증폭 트랙

광고비를 예측 가능한 매출로

전환되지 않는 광고비를 줄이고, 투자 대비 효율을 끌어올려요.

트랙 개요

3.2x
Average ROAS
-42%
Cost Per Acquisition
250%
Conversion Volume

주차별 구성

1주차: 계정 감사 및 전략

  • • Full account audit (structure, targeting, creative)
  • • Competitor ad analysis
  • • Conversion tracking validation
  • • Budget allocation review

산출물:

Audit report, competitive analysis, media plan

2주차: 계정 재구성

  • • Campaign architecture rebuild
  • • Audience segmentation
  • • Negative keyword lists
  • • Bid strategy optimization

산출물:

New account structure, audience framework

3~4주차: 크리에이티브·카피 테스트

  • • Ad creative production
  • • Copy variations and hooks
  • • Landing page optimization
  • • A/B testing framework

산출물:

Creative library, testing roadmap, optimized landing pages

5~6주차: 스케일·자동화

  • • Scaling winning campaigns
  • • Automated bidding rules
  • • Cross-channel expansion
  • • Performance monitoring setup

산출물:

Scaling plan, automation rules, performance dashboards

주요 채널

Google Ads

Capture high-intent searches at the perfect moment.

  • • Search campaigns (text & shopping)
  • • Performance Max
  • • YouTube ads
  • • Display remarketing
  • • Discovery campaigns

Meta Ads

Scale with sophisticated audience targeting.

  • • Facebook & Instagram ads
  • • Advantage+ campaigns
  • • Dynamic product ads
  • • Lead generation forms
  • • Messenger campaigns

TikTok Ads

Reach younger audiences with engaging creative.

  • • In-feed ads
  • • Spark ads
  • • Collection ads
  • • Lead generation
  • • Shopping ads

LinkedIn Ads

Target decision-makers in B2B markets.

  • • Sponsored content
  • • Message ads
  • • Lead gen forms
  • • Account-based marketing
  • • Retargeting campaigns

Our Optimization Framework

Targeting Precision

Demographics
Age, gender, income
Interests
Behaviors, affinities
Intent
In-market, custom

Creative Excellence

Formats
Video, carousel, static
Copy
Headlines, CTAs, hooks
Testing
A/B, multivariate

Data-Driven Decisions

Attribution
Multi-touch, view-through
Testing
Statistical significance
Optimization
ML bidding, rules

Performance Metrics

KPIs We Optimize For

ROAS
Return on Ad Spend
3.2x avg
CPA
Cost Per Acquisition
-42% avg
CVR
Conversion Rate
+65% avg
CTR
Click-Through Rate
+120% avg

Budget Allocation Strategy

Smart Budget Distribution

Testing Budget (20%)

New audiences, creatives, channels

Always innovating

Proven Winners (60%)

Scaling what works consistently

Maximum ROAS

Retargeting (20%)

Warm audiences, cart abandoners

High conversion

Creative Testing Playbook

What We Test

  • Headlines and hooks
  • Visual styles and formats
  • Value propositions
  • Call-to-action buttons
  • Social proof elements
  • Offer structures

Testing Methodology

  • Minimum 1,000 impressions per variant
  • 95% statistical confidence
  • 7-14 day test periods
  • Control vs. challenger format
  • Weekly iteration cycles
  • Winner scaling framework

Expected Timeline & Results

1w

Week 1

Complete audit, quick wins implemented, bleeding stopped

2w

Week 2

New structure live, performance improving, costs dropping

1m

Month 1

ROAS positive, scaling winners, consistent conversions

3m

Month 3

3x+ ROAS achieved, predictable growth, expansion ready

Ready to Scale Profitably?

Stop wasting money on ads that don't work. Let's build a paid media machine that predictably turns ad spend into revenue.

유료 증폭 트랙 · 온보딩 | Prime Chase Data