I have managed over $2M+ in Facebook & Instagram ad spend, driving more than $20M+ in tracked revenue and business impact across multiple industries.

Through a structured, data-driven approach, I have helped businesses:

• Scale from low-performing campaigns to consistent, profitable growth
• Reduce customer acquisition costs while increasing overall revenue
• Build predictable lead generation and sales systems
• Turn ad spend into measurable business outcomes, not just traffic

Business Impact Delivered

• Generated high-quality leads at optimized cost for service-based businesses
• Scaled ecommerce brands with low cost per purchase and high volume sales
• Helped local businesses transition into system-driven customer acquisition
• Improved campaign performance through creative testing and funnel optimization

What Makes the Difference

My approach focuses on:

Not just running ads
But building scalable growth systems

• Strategic funnel planning
• Continuous creative optimization
• Data-backed scaling decisions
• Full tracking and performance visibility

Core Expertise

Full-Funnel Campaign Strategy

Designing and executing complete customer journeys from Awareness → Consideration → Conversion to ensure consistent lead flow and revenue generation.

Performance-Driven Creative Strategy

Developing and testing high-converting creatives (UGC, static, video, hooks, angles) to improve CTR, engagement, and conversion rates.

Advanced Audience Targeting

Building and scaling:

• Custom Audiences
• Lookalike Audiences (LLA)
• Interest & behavior-based targeting

To reach high-intent users and improve conversion efficiency.

Conversion Optimization

Improving landing pages, funnels, and user journeys to maximize:

• Conversion rate
• Average order value
• Lead quality

Retargeting & Funnel Optimization

Creating structured retargeting systems to:

• Recover lost customers
• Increase repeat conversions
• Improve overall ROAS

Tracking & Data Analytics

Implementing and managing:

• Meta Pixel
• GA4
• UTM tracking

Ensuring accurate data for decision-making and performance scaling.

Scaling & Budget Optimization

Scaling campaigns using:

• CBO & ABO strategies
• Manual scaling
• Automated rules

While maintaining stable CPA and profitability.

Performance Analysis & Decision Making

Analyzing campaign data to:

• Identify winning patterns
• Cut underperforming segments
• Reallocate budget effectively

Focused on profit, not vanity metrics

Tools & Platforms

Meta Ads Manager | GA4 | Shopify | Canva | Zapier | Meta Business Suite | Looker Studio

Industries Worked With

• Software & SaaS
• Electronics & Gadgets
• Organic Food & Health Products
• Roofing & Local Services
• Education & Consultancy
• Digital Marketing Agencies
• Ecommerce Brands
• Law Firms

Approach

I focus on building scalable and predictable growth systems, not just running campaigns.

My approach is based on:

• Data-driven decision making
• Clear funnel structure
• Continuous creative testing
• Iteration and optimization
• Profit-focused scaling

What Makes This Different

Most advertisers focus on:
– Clicks
– Impressions

I focus on:
Revenue, leads, and business growth

Result

BuBusinesses I work with don’t just get campaigns
They get a repeatable system for growth, profitability, and long-term scaling

• Consistent and predictable lead generation & sales flow
• Improved return on ad spend (ROAS) and reduced acquisition costs
• Scalable campaigns that grow without breaking performance
• Higher quality leads and better conversion rates
• Strong retargeting systems for repeat purchases and conversions
• Clear data tracking for smarter, faster decision-making
• Structured funnels that turn traffic into revenue
• Long-term growth systems, not short-term results 

Company 1: Roofing & Local Business

Objective:

• Generate high-quality local leads consistently
• Reduce cost per lead (CPL)
• Build a predictable lead generation system

Budget:

• Total Ad Spend: $390,000+ managed (account-level)
• Campaign-level optimization across multiple periods

Strategy:

• Full-funnel structure:
• Awareness (local targeting + problem-based creatives)
• Consideration (engagement & video viewers)
• Conversion (lead form campaigns)
• Hyper-local targeting (geo + service area focused)
• Lead form optimization (high intent questions)
• Creative testing (multiple hooks, offers, angles)
• Retargeting system:
• Page engagement
• Video viewers
• Previous leads
• Scaling approach:
• Budget scaling on winning ad sets
• CBO + manual optimization
• Continuous performance monitoring

Result:

• Generated consistent high-quality leads monthly
• Achieved significant growth in lead volume (+400% increase)
• Maintained optimized cost per lead (~$45–$60 range)
• Built a scalable and repeatable lead generation system
• Improved lead quality and conversion rate

ROAS:

• Lead generation focused (service business)
  Performance measured by:
• Cost per lead
• Lead-to-sale conversion rate
• Revenue impact

CPA (Cost Per Lead):

$45 – $77 (optimized across campaigns)

Business Impact

• Increased qualified inbound inquiries
• Helped business generate consistent project pipeline
• Reduced dependency on manual/referral-based leads
• Enabled scalable local growth through ads system

Company 2: Interior Design Firm – USA

Objective:

• Generate consistent, high-quality local leads
• Reduce cost per lead (CPL)
• Build a predictable lead acquisition system

Budget:

• Total Ad Spend (tracked period): $117,000+
• Monthly scaling with continuous optimization

Strategy:

• Full-funnel campaign structure:
• Awareness (problem-aware creatives)
• Consideration (engagement & traffic campaigns)
• Conversion (lead form campaigns)
• Hyper-local targeting (service area focused)
• Lead form optimization to increase intent quality
• Creative testing system:
• Multiple hooks
• Service-based angles
• Offer variations
• Retargeting funnel:
• Engaged users
• Video viewers
• Previous interactions
• Scaling approach:
• Budget increase on winning campaigns
• CBO + manual optimization
• Performance-based iteration

Result:

• Generated consistent monthly lead flow (30–40+ leads per period)
• Achieved 428% growth in lead volume
• Maintained cost per lead around $45–$60
• Built a stable and scalable lead generation system
• Improved lead quality and conversion consistency

ROAS:

• Service-based (lead gen)
  Measured through:
• Lead quality
• Conversion to paying customers
• Revenue impact from jobs/projects

CPA (Cost Per Lead):

$45 – $77 (optimized across campaigns)

Business Impact:

• Increased qualified inbound calls and inquiries
• Helped generate a consistent pipeline of roofing projects
• Reduced dependency on manual/referral-based leads
• Enabled predictable and scalable local business growth

Company 3: Electronics & Gadgets (Ecommerce)

Objective:

• Drive high-volume sales & messaging conversions

• Reduce cost per conversation & purchase intent

• Build a scalable ecommerce acquisition system

Budget:

• Total Ad Spend: RM 26,950+ (~$5,700+)

• Managed across 64+ campaigns

• Long-term scaling campaigns (multi-phase)

Strategy:

• Full-funnel structure:
• Awareness (mass reach campaigns for products)
• Engagement (video + post engagement scaling)
• Conversion (messaging + website purchase campaigns)
• Product-based campaign segmentation:
• iPhone / MacBook / Accessories
• Offer-based campaigns (discounts, pre-orders, bundles)
• Creative strategy:
• Product-focused creatives
• Offer-driven hooks (price, urgency, deals)
• High-volume engagement creatives
• Messaging funnel optimization:
• Click-to-Messenger campaigns
• Conversion-focused conversation flows
• Retargeting system:
• Engaged users
• Product viewers
• Previous interactions
• Scaling approach:
• High-performing creatives scaled aggressively
• Budget allocation based on cost efficiency
• Continuous iteration on winning campaigns

Result:

• Generated 1,000+ messaging conversations per campaign cycle
• Achieved as low as RM0.46 – RM1.43 per conversation
• Delivered millions of reach (2M+ per campaign)
• Generated 100K+ engagements & high user interaction
• Built a high-volume traffic & conversion system

ROAS:

Measured through:

• Messaging conversion → Sales

• Product-level profitability

• Customer acquisition efficiency

CPA (Cost Per Result):

• Messaging CPA: RM0.46 – RM1.43 (~$0.10–$0.30)

• Engagement cost: Extremely low (high scalability campaigns)

Business Impact:

• Enabled high-volume product demand generation
• Increased daily inbound customer inquiries
• Built a scalable sales pipeline through messaging
• Improved conversion opportunities with low acquisition cost
• Created repeatable campaign structures for product launches

Company 4: Education Consultancy Agency

Objective:

• Generate high-quality student leads for international study programs
• Reduce cost per lead (CPL)
• Build a consistent and scalable lead generation funnel

Budget:

• Total Ad Spend: RM 26,950+ (~$5,700+)
• Total Reach: 2.3M+ users reached
• Total Impressions: 4.8M+ impressions generated
• Managed across 60+ ads & multiple campaigns

Strategy:

• Full-funnel lead generation system:
• Awareness (video + reach campaigns for program awareness)
• Engagement (social proof, student success content)
• Conversion (lead form campaigns)
• Offer-driven campaigns:
• Study abroad programs
• Expo / event-based campaigns
• Country-specific targeting (Malaysia, UK, etc.)
• Creative strategy:
• University-based creatives
• Visa & admission messaging
• Authority positioning (top-ranked universities)
• Lead form optimization:
• Pre-qualified questions
• Intent-based filtering
• Audience strategy:
• Interest targeting (study abroad, universities)
• Lookalike audiences
• Retargeting engaged users
• Scaling approach:
• Budget scaling on winning ads
• Duplicate + optimize strategy
• Continuous testing of creatives

Result:

• Generated 100+ leads per campaign (high-performing sets)
• Achieved cost per lead as low as RM1.85 – RM4.00
• Scaled campaigns to hundreds of leads consistently
• Maintained high lead intent & quality
• Built a predictable student acquisition system

ROAS:

Measured through:

• Lead → Enrollment conversion
• Cost per enrolled student
• Overall revenue per intake

CPA (Cost Per Lead):

RM1.85 – RM12 (depending on campaign & targeting)

Business Impact:

• Increased qualified student inquiries significantly
• Helped scale student recruitment campaigns globally
• Enabled consistent intake pipeline for each admission cycle
• Reduced dependency on offline events & manual sourcing
• Created repeatable lead generation system for future intakes