An e-commerce fashion brand was struggling with inconsistent paid advertising results, wasting 40% of ad spend on poor-performing campaigns, and achieving only 180% ROAS. After implementing our data-driven multi-channel advertising strategy with advanced audience targeting and creative optimization, they achieved 580% ROAS, generated $18M in revenue, reduced cost per acquisition by 67%, and profitably scaled monthly ad spend from $45K to $280K in 15 months.
Client Overview
Company: [Confidential - Women's Fashion E-commerce Brand] Industry: E-commerce / Fashion & Apparel Business Model: Direct-to-consumer (D2C) Average Order Value: $120 Target Market: Women aged 25-45, US market Challenge: Inefficient paid advertising with poor ROAS
The Problem
Inefficient Ad Spending:
Current Advertising (Inefficient):
Monthly Ad Spend: $45,000
Channels:
- Facebook Ads: $28,000 (62%)
- Google Ads: $12,000 (27%)
- Instagram Ads: $5,000 (11%)
Performance:
Monthly Revenue: $81,000
ROAS: 180%
Cost Per Acquisition: $87
Conversion Rate: 1.8%
Customer Lifetime Value: $340
LTV:CAC Ratio: 3.9:1
Problems Identified:
- No clear attribution model
- Poor audience targeting
- Weak creative testing
- No funnel optimization
- Limited retargeting
- Inefficient budget allocation
- No cross-channel strategy
Wasted Ad Budget:
Budget Waste Analysis:
Total Waste: $18,000/month (40%)
Breakdown:
Poor Targeting: $7,200 (16%)
- Wrong demographics
- Broad interest targeting
- No exclusions
- Low-intent audiences
Weak Creative: $5,400 (12%)
- Outdated ad copy
- Poor images
- No video ads
- Generic messaging
Technical Issues: $3,600 (8%)
- Tracking problems
- Conversion tracking errors
- Attribution gaps
- Data discrepancies
Poor Landing Pages: $1,800 (4%)
- Slow load times
- Low conversion rates
- Poor mobile experience
- Weak value propositions
Recoverable Budget: $18,000/month
Annual Impact: $216,000 wasted
Limited Channel Strategy:
Channel Performance:
Facebook/Instagram (73% of budget):
- Ad fatigue
- Increasing CPMs
- Declining performance
- Limited audience expansion
Google Ads (27% of budget):
- Only Search campaigns
- No Shopping ads
- No Display campaigns
- No YouTube ads
- Missing bottom-funnel keywords
Missing Channels:
- Google Shopping: Not running
- YouTube Ads: Not explored
- Pinterest Ads: Not tested
- TikTok Ads: Not considered
- Retargeting: Basic only
Business Impact:
Financial:
Monthly Revenue: $81,000
Annual Revenue: $972,000
Marketing Efficiency Ratio: 1.8:1
Profitable: Yes, but inefficient
Growth Limited: Can't scale profitably
Cash Flow: Constrained
Strategic Concerns:
- Can't increase ad spend profitably
- Limited customer acquisition
- High dependency on 2 channels
- Vulnerable to platform changes
- Losing market share
- Competitors outspending
Growth Constraints:
Revenue Goal: $5M annually
Current Trajectory: $972K
Gap: $4M+ (can't bridge without better ROAS)
Our Multi-Channel Advertising Strategy
Phase 1: Comprehensive Audit & Strategy (Week 1-3)
Deep Dive Analysis:
Account Audits:
Facebook Ads Account:
- 47 active campaigns (too many)
- 180+ ad sets (fragmented)
- 340+ ads (poor organization)
- Budget: Spread too thin
- Audience overlap: 67%
- Creative refresh: Every 2-3 months
- Attribution: Last-click only
Google Ads Account:
- Search campaigns only
- 12 campaigns (underutilized)
- Poor keyword structure
- No negative keywords
- Quality Score: 5.2 avg
- No Shopping campaigns
- No Display campaigns
Instagram Ads:
- Bundled with Facebook
- No separate strategy
- Limited Stories ads
- No Reels ads
Analytics Review:
- Google Analytics: Basic setup
- Conversion tracking: Incomplete
- Attribution: Last-click
- Customer journey: Not mapped
- Lifetime value: Not tracked properly
Key Findings:
Opportunities:
- $18K monthly waste identifiable
- Google Shopping: Huge potential
- YouTube: Untapped channel
- Retargeting: Significant upside
- Creative refresh: Urgent need
- Audience targeting: Major improvements
- Landing pages: Optimization needed
Threats:
- iOS 14 attribution issues
- Rising CPMs
- Ad fatigue
- Competitive pressure
Strategic Framework:
15-Month Roadmap:
Phase 1 (Month 1-3): Foundation
Objectives:
- Fix tracking and attribution
- Consolidate Facebook campaigns
- Launch Google Shopping
- Implement creative testing
- Build retargeting audiences
Targets:
- ROAS: 180% → 280%
- CPA: $87 → $65
- Monthly revenue: $81K → $150K
Phase 2 (Month 4-8): Scale
Objectives:
- Launch YouTube ads
- Expand Google Search
- Test new audiences
- Scale winners
- Implement automation
Targets:
- ROAS: 280% → 400%
- CPA: $65 → $48
- Monthly ad spend: $45K → $120K
- Monthly revenue: $150K → $550K
Phase 3 (Month 9-15): Optimize
Objectives:
- Multi-touch attribution
- Advanced audience segmentation
- Omnichannel strategy
- Predictive bidding
- Customer journey optimization
Targets:
- ROAS: 400% → 500%+
- CPA: $48 → $35
- Monthly ad spend: $120K → $280K
- Monthly revenue: $550K → $1.6M
Phase 2: Foundation & Tracking (Month 1-2)
Conversion Tracking Setup:
Enhanced Tracking Implementation:
Technical Infrastructure:
Google Tag Manager Setup:
- Container structure
- Tag organization
- Trigger configuration
- Variable setup
- Data layer implementation
Conversion Events:
Macro Conversions:
- Purchase (primary)
- Add to cart
- Initiate checkout
- Sign up
Micro Conversions:
- Product view
- Collection view
- 30+ seconds on site
- Scroll depth (50%, 75%)
- Video views (25%, 50%, 75%, 100%)
- Email capture
- Social follow
Enhanced E-commerce:
- Product impressions
- Product clicks
- Add to cart
- Remove from cart
- Checkout steps
- Purchase
- Refunds
Server-Side Tracking:
- Facebook Conversions API
- Google Enhanced Conversions
- First-party cookies
- Deduplication logic
- Better iOS 14+ attribution
Cross-Domain Tracking:
- Main site
- Checkout domain
- Blog
- Landing pages
Results:
Tracking Accuracy: 68% → 97%
Attribution Data: +340% improvement
iOS 14 Recovery: 78% event capture
Data Quality: Significantly improved
Attribution Modeling:
Multi-Touch Attribution:
Attribution Models Implemented:
1. Data-Driven Attribution (Primary)
- Machine learning model
- Credit distribution by actual impact
- Considers all touchpoints
- Most accurate
2. Position-Based (40-20-40)
- 40% credit: First touch
- 20% credit: Middle touches
- 40% credit: Last touch
3. Time Decay
- More credit to recent touches
- Exponential decay function
- 7-day half-life
Analysis Setup:
- Customer journey mapping
- Touchpoint analysis
- Channel contribution
- Assisted conversions
- Cross-device tracking
Insights Gained:
Facebook Role:
- Strong at awareness
- Drives initial consideration
- Assists 67% of conversions
- ROAS understated by 40%
Google Role:
- Strong at conversion
- Bottom-funnel capture
- Direct response
- ROAS overstated by 25%
Adjusted Strategy:
- Reallocated budgets
- Different KPIs per channel
- Funnel-stage targeting
- Complementary approach
Phase 3: Google Ads Optimization (Month 1-4)
Google Shopping Campaigns:
Shopping Campaign Structure:
Campaign Setup:
High Priority Campaign:
- Budget: $8,000/month
- Target ROAS: 400%
- Products: Best sellers (top 20%)
- Bid adjustment: +50% mobile
- Goal: Maximum profitability
Medium Priority Campaign:
- Budget: $6,000/month
- Target ROAS: 300%
- Products: Mid-tier (next 30%)
- Standard bidding
- Goal: Balanced growth
Low Priority Campaign:
- Budget: $4,000/month
- Target ROAS: 200%
- Products: Long-tail (bottom 50%)
- Discovery/testing
- Goal: Market coverage
Product Feed Optimization:
Title Optimization:
- [Brand] [Product Type] [Key Attribute] [Style] [Color] [Size]
- Example: "BrandName Floral Maxi Dress Summer Boho Red Size M"
- Keyword rich
- 150 character max
Description Enhancement:
- Detailed product features
- Size/fit information
- Material composition
- Care instructions
- Use case scenarios
- Benefits focus
Image Quality:
- Professional photography
- White background
- Multiple angles
- Lifestyle images
- 1200x1200px minimum
- Compressed for speed
Attributes Completed:
- Color
- Size
- Material
- Pattern
- Age group
- Gender
- Custom labels (margin, season, collection)
Results (Month 4):
Shopping Revenue: $0 → $28,000/month
Shopping ROAS: 550%
CPA: $32
Conversion Rate: 4.2%
Market Share: Top 3 in category
Search Campaign Restructuring:
New Campaign Structure:
Brand Campaigns (Defensive):
- Budget: $2,000/month
- Exact match brand terms
- High bids (position 1)
- ROAS: 800%+
- Protect brand searches
High-Intent Campaigns:
- Budget: $12,000/month
- Bottom-funnel keywords
- "buy", "shop", "best"
- Product-specific
- ROAS Target: 450%
Mid-Funnel Campaigns:
- Budget: $8,000/month
- "how to", "tips", "guide"
- Educational intent
- ROAS Target: 300%
Competitor Campaigns:
- Budget: $3,000/month
- Competitor brand terms
- Conquest strategy
- ROAS Target: 250%
Dynamic Search Ads:
- Budget: $4,000/month
- Auto-target entire site
- Catch long-tail queries
- Fill gaps
- ROAS Target: 350%
Keyword Strategy:
Total Keywords: 2,400+
Structure:
- Exact match: 40%
- Phrase match: 35%
- Broad match modified: 25%
Negative Keywords: 840+
- Competitor names (not targeting)
- "free", "cheap", "knockoff"
- Irrelevant terms
- Job searches
- DIY/sewing
Ad Copy Testing:
Frameworks:
- Problem-Solution
- Social Proof
- Urgency
- Value Proposition
- Feature-Benefit
RSAs (Responsive Search Ads):
- 15 headlines per ad
- 4 descriptions per ad
- AI optimization
- Continuous testing
Extensions:
- Sitelinks (8 per campaign)
- Callouts (10 per campaign)
- Structured snippets
- Price extensions
- Promotion extensions
- Image extensions
Results (Month 4):
Search Revenue: $18,000/month → $62,000/month
Search ROAS: 150% → 485%
Quality Score: 5.2 → 8.4
CPC: -34%
Conversion Rate: 2.1% → 5.8%
Phase 4: Facebook/Instagram Optimization (Month 2-5)
Campaign Consolidation:
Simplified Campaign Structure:
Before: 47 campaigns, 180 ad sets, 340 ads
After: 12 campaigns, 38 ad sets, 120 ads
New Structure:
Prospecting Campaigns:
1. Cold - Top of Funnel (Awareness)
- Budget: $15,000/month
- Objective: Reach
- Audiences: Broad targeting (Advantage+)
- Creative: Brand storytelling
- Goal: Build awareness
2. Cold - Interest-Based (Consideration)
- Budget: $18,000/month
- Objective: Traffic
- Audiences: Interest targeting
- Creative: Product-focused
- Goal: Drive site visits
3. Cold - Lookalike (Acquisition)
- Budget: $22,000/month
- Objective: Conversions
- Audiences: LAL 1-3%
- Creative: Direct response
- Goal: New customers
Retargeting Campaigns:
4. Website Retargeting - 7 days
- Budget: $8,000/month
- High intent visitors
- Dynamic product ads
5. Website Retargeting - 30 days
- Budget: $6,000/month
- Warm audience nurturing
- Collection ads
6. Cart Abandonment
- Budget: $9,000/month
- Left items in cart
- Urgency messaging
- Discount offers
7. Email List Retargeting
- Budget: $4,000/month
- Customer file upload
- Loyalty focus
8. Video View Retargeting
- Budget: $3,000/month
- Engaged video viewers
- 50%+ video view
Retention Campaigns:
9. Past Purchaser - 30-90 days
- Budget: $5,000/month
- Recent customers
- Cross-sell/upsell
10. Past Purchaser - 90+ days
- Budget: $4,000/month
- Win-back campaigns
- Special offers
Testing Campaigns:
11. Creative Testing
- Budget: $3,000/month
- New ad concepts
- A/B testing
12. Audience Testing
- Budget: $2,000/month
- New audience segments
- Interest discovery
Total: $99,000/month Facebook/Instagram
Efficiency: +67% vs. previous structure
Audience Strategy:
Audience Segmentation:
Custom Audiences:
Website Visitors (8 segments):
- All visitors - 180 days
- Product viewers - 30 days
- Cart abandoners - 7 days
- Category browsers - 14 days
- High-value page visitors
- 3+ page views - 30 days
- Checkout initiators - 7 days
- Past purchasers - by timeframe
Engagement Audiences:
- Instagram profile visitors
- Instagram engagers (90 days)
- Facebook page engagers
- Video views (25%, 50%, 75%, 95%)
- Lead form openers
- Instagram Shopping engagers
Customer File:
- Email subscribers
- Past customers
- VIP customers (LTV $500+)
- Segmented by purchase category
Lookalike Audiences (36 total):
Value-Based LAL:
- Top 1% customers (LTV)
- Top 5% customers
- Top 10% customers
- Recent purchasers (30 days)
Percentage:
- 1% LAL (closest match)
- 2-3% LAL (expansion)
- 4-6% LAL (broader reach)
- 7-10% LAL (prospecting)
Exclusions:
- Existing customers (prospecting)
- Recent converters (24-48 hours)
- Low-quality traffic
- Cart abandoners (separate campaign)
Interest Targeting:
Fashion Interests (40+ tested):
- Competitor brands
- Fashion magazines
- Fashion influencers
- Fashion events
- Style categories
- Shopping behaviors
Behavioral:
- Online shoppers
- Engaged shoppers
- Purchase behavior
- Device usage
Demographic:
- Women 25-45
- Income: Top 30%
- Location: Tier 1-2 cities
- Interests: Fashion, lifestyle
Results:
Audience Overlap: 67% → 8%
Targeting Efficiency: +89%
Wasted Impressions: -78%
CPM: -23%
Creative Strategy:
Creative Framework:
Ad Formats:
Single Image Ads:
- Product showcases
- Lifestyle photography
- Before/after
- User-generated content
Carousel Ads:
- Multiple products
- Product features
- How-to guides
- Customer stories
Video Ads:
- Product demos (15-30 sec)
- Unboxing videos
- Styling tips
- Customer testimonials
- Behind-the-scenes
Collection Ads:
- Instant experience
- Product browsing
- Storytelling
- Native shopping
Stories Ads:
- Vertical format
- Interactive elements
- Swipe-up
- Polls/questions
Reels Ads:
- Short-form content
- Trending audio
- Entertainment value
Creative Testing Framework:
Variables Tested:
- Images (product vs. lifestyle)
- Headlines (12 variations)
- Body copy (8 variations)
- CTAs (6 options)
- Video length (15s vs. 30s vs. 60s)
- Music (with vs. without)
- Colors (background, text)
- Format (image vs. video vs. carousel)
Testing Method:
- Dynamic Creative Testing
- A/B split testing
- Sequential testing
- Multivariate testing
Creative Refresh:
- New ads every 2 weeks
- Rotate top performers
- Retire fatigued ads (frequency 3+)
- Seasonal updates
- Trend incorporation
UGC Strategy:
- Customer photo requests
- Incentivized sharing
- Permission requests
- Content curation
- Ad integration
Results:
Creative Performance:
Top Performers:
- Video ads: 340% higher engagement
- UGC: 180% better conversion
- Carousel: 125% higher AOV
- Stories: 67% lower CPA
Creative Fatigue: Managed
Ad Lifespan: 14 days → 28 days
Click-Through Rate: 1.2% → 3.8%
Cost Per Click: -45%
Phase 5: YouTube Ads Launch (Month 5-8)
YouTube Strategy:
Campaign Setup:
YouTube Campaigns:
1. Skippable In-Stream Ads
- Budget: $12,000/month
- Objective: Conversions
- Placement: Pre-roll
- Duration: 15-30 seconds
- Targeting: In-market audiences
2. Discovery Ads
- Budget: $8,000/month
- Objective: Consideration
- Placement: Search results, related videos
- Targeting: Interest-based
3. Bumper Ads (6 seconds)
- Budget: $5,000/month
- Objective: Brand awareness
- Placement: Pre-roll (non-skippable)
- Targeting: Broad reach
4. YouTube Shorts Ads
- Budget: $6,000/month
- Objective: Engagement
- Format: Vertical video
- Targeting: Younger demographic
Total YouTube Budget: $31,000/month
Video Content:
Product Showcases:
- New arrivals
- Best sellers
- Style guides
- Outfit ideas
- 15-30 seconds
Educational Content:
- Fashion tips
- Styling advice
- Trend reports
- Care instructions
- 45-60 seconds
Social Proof:
- Customer testimonials
- Reviews
- Unboxing
- Influencer content
- 20-30 seconds
Brand Stories:
- Company mission
- Behind-the-scenes
- Sustainability
- Craftsmanship
- 30-60 seconds
Targeting Strategy:
Demographic:
- Women 25-45
- Household income: $50K+
- US-based
Interests:
- Fashion & beauty
- Shopping
- Lifestyle content
- Fashion influencers
- Competitor channels
Custom Intent:
- Search behavior
- Shopping signals
- Fashion keywords
- Competitor searches
Placements:
- Fashion YouTubers
- Lifestyle channels
- Beauty channels
- Relevant content
Results (Month 8):
YouTube Revenue: $0 → $42,000/month
YouTube ROAS: 420%
View Rate: 34%
View-Through Conversions: 18%
CPA: $38
New Channel Contribution: 12% of total revenue
Phase 6: Retargeting Optimization (Month 3-10)
Advanced Retargeting:
Segmented Retargeting:
Funnel-Based Retargeting:
Top of Funnel:
Audience: Homepage visitors, blog readers
Recency: 7-30 days
Message: Brand awareness, value proposition
CTA: "Learn More", "Shop Collection"
Budget: $4,000/month
Middle of Funnel:
Audience: Category browsers, multiple pages
Recency: 3-14 days
Message: Product benefits, social proof
CTA: "See Styles", "Shop Now"
Budget: $6,000/month
Bottom of Funnel:
Audience: Product viewers, cart abandoners
Recency: 0-7 days
Message: Urgency, incentives
CTA: "Complete Purchase", "Get 10% Off"
Budget: $12,000/month
Dynamic Retargeting:
Product-Specific:
- Show exact products viewed
- Similar products
- Complementary items
- Related collections
Dynamic Creative:
- Personalized headlines
- Custom product feeds
- Price display
- Stock status
- Countdown timers
Platform: Facebook/Instagram/Google Display
Cart Abandonment Strategy:
Sequence:
Hour 1: Browser push notification
Hour 3: Email reminder
Hour 6: Facebook/Instagram ad
Day 1: Google Display ad
Day 2: Email with 10% discount
Day 3: SMS (opt-in customers)
Day 7: Final email (15% discount)
Messaging:
- "You left items behind"
- Free shipping offer
- Limited time discount
- Stock scarcity
- Customer reviews
Results:
Cart Recovery Rate: 12% → 38%
Revenue from Abandoned Carts: $78,000/month
ROAS: 920%
Cross-Platform Retargeting:
Unified Audience Strategy:
Audience Syncing:
- Facebook Custom Audiences
- Google Remarketing Lists
- Coordinate messaging
- Frequency capping
- Sequential messaging
Customer Journey:
Touch 1: Facebook/Instagram (awareness)
Touch 2: Google Display (consideration)
Touch 3: YouTube (engagement)
Touch 4: Google Search (conversion)
Touch 5: Email (retention)
Frequency Management:
Global Frequency Cap: 10 impressions/week
Per Platform:
- Facebook: 5/week
- Google Display: 3/week
- YouTube: 2/week
Exclusions:
- Recent converters (48 hours)
- Active customers (30 days)
- High frequency users (burnt out)
Results:
Retargeting Revenue: $18,000/month → $124,000/month
Retargeting ROAS: 380% → 780%
Cost Per Retargeting Conversion: $24
Cross-Device Attribution: Improved 89%
Phase 7: Automation & AI (Month 8-15)
Smart Bidding:
Automated Bidding Strategy:
Google Ads Automation:
Target ROAS Bidding:
- Campaign-level targets
- Historical data (60+ days)
- Seasonal adjustments
- Portfolio bid strategies
Maximize Conversion Value:
- Budget optimization
- AI-powered bidding
- Real-time adjustments
- Cross-device optimization
Enhanced CPC:
- Manual bid control
- AI adjustments ±30%
- Auction-time optimization
Smart Shopping:
- Automated bidding
- Automated targeting
- Dynamic remarketing
- Simplified management
Facebook Automation:
Campaign Budget Optimization:
- Automatic budget distribution
- Best-performing ad sets
- Real-time reallocation
Advantage+ Shopping:
- Automated targeting
- Machine learning optimization
- Simplified campaign structure
- Broader reach
Automated Rules:
Pause Rules:
- CPA > $100 for 3 days
- ROAS < 150% for 5 days
- Frequency > 4.0
- CTR < 0.5%
Increase Budget Rules:
- ROAS > 600% for 2 days
- CPA < $30 for 3 days
- Conversion rate > 5%
Alert Rules:
- Daily spend > 120% of budget
- Conversions = 0 for 24 hours
- CPC increase > 50%
Results:
Time Saved: 15 hours/week
Performance: +23% vs. manual
Efficiency: +18% budget utilization
Scalability: Increased
Phase 8: Landing Page Optimization (Month 4-12)
Conversion Rate Optimization:
Landing Page Strategy:
Page Types:
Product Pages:
- High-quality images
- Detailed descriptions
- Customer reviews
- Size guides
- Related products
- Trust badges
- Urgency elements
Collection Pages:
- Filtering options
- Sort functionality
- Quick view
- Comparison tools
- Inspiration content
Campaign-Specific Landing Pages:
- Match ad messaging
- Consistent design
- Clear value proposition
- Prominent CTA
- Social proof
- Mobile-optimized
Optimization Elements:
Above the Fold:
- Clear headline
- Hero image
- Value proposition
- Primary CTA
- Trust indicators
Trust Building:
- Customer reviews (4.8/5)
- Security badges
- Free shipping banner
- Money-back guarantee
- "As seen in" logos
Urgency/Scarcity:
- Limited stock alerts
- Countdown timers
- "X people viewing"
- Sale end date
- Popular items badge
Mobile Optimization:
- Thumb-friendly design
- Fast loading (<2s)
- Simplified navigation
- Large touch targets
- Sticky CTA button
A/B Testing:
Variables Tested:
- Headline variations (12)
- Hero image (8)
- CTA button text (6)
- Button color (5)
- Page layout (4)
- Trust badges placement (3)
- Review display (3)
Testing Frequency: Continuous
Statistical Significance: 95%
Winner Implementation: Immediate
Results:
Conversion Rate: 1.8% → 4.7%
Bounce Rate: 58% → 34%
Average Time on Page: +78%
Add to Cart Rate: 3.2% → 7.8%
Mobile Conversion: 1.2% → 4.1%
Revenue Lift: $340,000 from CRO alone
Results
Phase 1 Results (Month 1-4)
Initial Improvements:
Metric Before Month 4 Change
Monthly Ad Spend $45,000 $68,000 +51%
Monthly Revenue $81,000 $285,000 +252%
ROAS 180% 419% +133%
Cost Per Acquisition $87 $48 -45%
Conversion Rate 1.8% 3.9% +117%
Average Order Value $120 $135 +13%
Channel Performance:
Google Ads:
Spend: $12,000 → $29,000
Revenue: $18,000 → $141,000
ROAS: 150% → 486%
Facebook/Instagram:
Spend: $33,000 → $37,000
Revenue: $63,000 → $136,000
ROAS: 191% → 368%
YouTube:
Spend: $0 → $2,000 (testing)
Revenue: $0 → $8,000
ROAS: 400%
Phase 2 Results (Month 5-10)
Scaling Success:
Metric Month 4 Month 10 Change
Monthly Ad Spend $68,000 $185,000 +172%
Monthly Revenue $285,000 $998,000 +250%
ROAS 419% 539% +29%
Cost Per Acquisition $48 $34 -29%
New Customers 2,188 9,240 +322%
Channel Expansion:
Google Ads:
Shopping: $28,000/mo → $89,000/mo revenue
Search: $62,000/mo → $184,000/mo revenue
Display: $0 → $28,000/mo revenue
YouTube: $8,000/mo → $72,000/mo revenue
Total Google: $141,000 → $373,000
Facebook/Instagram:
Prospecting: $136,000 → $378,000
Retargeting: $48,000 → $187,000
Total Meta: $136,000 → $565,000
Other Channels:
Pinterest: $0 → $18,000 (launched Month 9)
TikTok: $0 → $12,000 (testing Month 10)
Final Results (Month 15)
Performance Achievement:
Metric Before Month 15 Total Growth
Monthly Ad Spend $45,000 $280,000 +522%
Monthly Revenue $81,000 $1,624,000 +1,905%
Annual Revenue $972,000 $18,240,000 +1,777%
ROAS 180% 580% +222%
Cost Per Acquisition $87 $29 -67%
Conversion Rate 1.8% 5.2% +189%
Average Order Value $120 $142 +18%
Customer Acquisition:
Metric Before After Growth
Monthly New Customers 930 15,680 +1,586%
Customer Lifetime Value $340 $487 +43%
LTV:CAC Ratio 3.9:1 16.8:1 +331%
Repeat Purchase Rate 23% 38% +65%
Channel Mix (Month 15):
Google Ads: $145,000/month spend
- Shopping: $58,000 → $318,000 revenue (ROAS: 548%)
- Search: $52,000 → $312,000 revenue (ROAS: 600%)
- Display: $18,000 → $67,000 revenue (ROAS: 372%)
- YouTube: $17,000 → $89,000 revenue (ROAS: 524%)
Total Google Revenue: $786,000 (ROAS: 542%)
Facebook/Instagram: $115,000/month spend
- Prospecting: $68,000 → $397,000 (ROAS: 584%)
- Retargeting: $47,000 → $385,000 (ROAS: 819%)
Total Meta Revenue: $782,000 (ROAS: 680%)
Other Channels: $20,000/month spend
- Pinterest: $12,000 → $34,000 (ROAS: 283%)
- TikTok: $8,000 → $22,000 (ROAS: 275%)
Total Other Revenue: $56,000 (ROAS: 280%)
Total Revenue: $1,624,000/month
Total ROAS: 580%
Financial Impact:
15-Month Performance:
Total Ad Spend: $2,835,000
Total Revenue Generated: $18,240,000
Gross Profit (45% margin): $8,208,000
Net Profit (after ad spend): $5,373,000
Before Strategy:
Annual Ad Spend: $540,000
Annual Revenue: $972,000
Net Profit: $437,400 (45% margin)
Improvement:
Additional Revenue: $17,268,000
Additional Profit: $4,935,600
Growth: 1,777%
ROI Analysis:
Investment:
Strategy & Setup: $42,000
Management Fees (15 months): $285,000
Tools & Technology: $38,000
Creative Production: $95,000
Landing Page Development: $52,000
Total Investment: $512,000
Returns:
Additional Profit: $4,935,600
Less Investment: $512,000
Net Gain: $4,423,600
ROI: 864%
Monthly Average ROI: 580%
Payback Period: 1.2 months
Efficiency Metrics:
Cost Efficiency:
CPA: $87 → $29 (-67%)
CPC: $2.40 → $0.82 (-66%)
CPM: $18.50 → $12.30 (-34%)
Cost Per Click: -66%
Performance Metrics:
Click-Through Rate: 1.2% → 3.8% (+217%)
Conversion Rate: 1.8% → 5.2% (+189%)
Quality Score: 5.2 → 8.7 (+67%)
Relevance Score: 6.1 → 9.2 (+51%)
Scale Metrics:
Ad Spend: 6.2x increase
Revenue: 20x increase
Profit: 12.3x increase
New Customers: 16.9x increase
Client Testimonial
"CentoSquare transformed our paid advertising from a money pit into a profit machine. We went from struggling at 180% ROAS to achieving 580% ROAS while scaling ad spend 6x. The data-driven approach, multi-channel strategy, and creative excellence delivered results beyond our wildest expectations. We've grown from less than $1M to over $18M in annual revenue. The ROI speaks for itself—this partnership changed our entire business trajectory."
— Founder, Fashion E-commerce Brand
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