Challenge: Client’s lead campaigns that were humming along perfectly suddenly started delivering junk leads at double the cost. Platform changes killed their targeting precision, and what used to generate $42 CPL quality leads was now burning through budget with $87 worthless inquiries.
Problem Started:
Facebook’s machine learning lost its ability to identify quality prospects. The platform was learning from incomplete data, optimizing for clicks instead of actual customers. Traditional pixel tracking wasn’t feeding enough signals back to the algorithm.
Our Data Recovery Strategy:
CRM Data Deep Dive:
Connected their customer database directly to Facebook, uploading 3 years of client history with purchase values and lifetime worth. Taught the algorithm what a real customer actually looks like.
Offline Events Implementation:
Set up offline conversion tracking for phone calls, in-person consultations, and contract signings. Now Facebook could see the complete customer journey, not just form submissions.
Customer List Upload:
Uploaded existing client lists and created precise lookalike audiences based on actual paying customers rather than random lead form fillers.
The Turnaround:
– CPL reduced to $31 (26% better than original)
– Lead quality score improved 89% based on conversion to customers
– Generated 2,074 high-value prospects
– Total ad investment: $64,300 with improved ROI. Customer acquisition improved 67% through better targeting
– Offline conversion tracking captured 43% more actual business value
What Made The Difference:
Instead of fighting the algorithm changes, we fed it better data. CRM integration, offline events, and customer lists turned Facebook’s machine learning back into a lead-generating machine rather than a budget-burning experiment.

The Problem: This client had been running Google ads since 2002 – that’s 23 years of experience! But they were still stuck paying $17.60 to get each new customer and making only $65K every 6 months. After two decades, their results had plateaued.

What We Found: Most of their $5.7M lifetime revenue came from years of grinding. They tried different strategies and hired multiple agencies, but the issue remains the same: high CPA and non-serious buyers that result in a high return ratio.

Google was showing ads to people who didn’t really in buying mode.

How We Fixed It:

Performance Max with Custom Segments: We rebuilt everything using Google’s smartest campaign type that finds buyers across all Google platforms

Value-Based Bidding: We taught Google to focus on customers who spend more money and come back (high-LTV audiences)

SKU-Level Dynamic Search Ads: We made special ads that automatically show the exact products people are searching for

Smart Bidding with Target ROAS: Used Google’s AI to automatically bid for the best return on ad spend

Audience Stacking Strategy: Combined multiple audience types to find the perfect customers

Cut The Waste: We stopped 847 bad keywords that were eating up 41% of their daily budget

Results Achieved in Just 6 Months:

Revenue JUMPED to $187K (287% increase from previous 6-month periods!)

Cost per customer DROPPED from $17.60 to $8.90 (49% savings)

Return on ad spend IMPROVED to 8.4x for every $1 invested

Generated more profit in 6 months than their best previous year

Total ad spend: $22,300 (with dramatically better efficiency)

The Secret: After 23 years of spreading efforts thin, we focused on what actually worked in just 6 months. Sometimes the biggest breakthroughs come from doing less, but doing it perfectly.

Premium supplement brand struggling with £15+ cost per acquisition and a poor 2.1 ROAS in the ultra-competitive health market. Traditional wellness targeting was attracting bargain hunters instead of customers who could buy.

Strategic Discovery:

Deep-dive analytics revealed game-changing insight: 89% of profitable customers were fitness enthusiasts, health-conscious, aged 25-40, but campaigns were wasting spend on broad wellness audiences seeking generic health products.

Performance Solution:

Advanced targeting:

Built custom intent audiences based on fitness behavior patterns and supplement research activities.

Campaign Architecture:

Deployed Performance Max with first-party data integration, Smart Shopping with precision audience layers, and YouTube Action campaigns delivering educational content to build trust pre-purchase.

Optimization Framework:

Implemented value-based bidding, prioritizing customer lifetime value over basic conversions.

Results:

-Revenue: £132,000+ generated

-ROAS: 9.3x return (342% improvement)

-CPA: £4.37 (71% cost reduction)

-Total Investment so far: £14,100

Strategy Impact:

Transformed Google Ads from a money-losing channel into a primary profit driver. Currently scaling to £100K monthly revenue, maintaining 9+ ROAS through systematic framework expansion.

Challenge: Jack’s e-commerce store hit a brutal revenue plateau after months of struggle. Despite hiring multiple agencies and tried through countless strategies, revenue stayed frozen at the same levels. Every single scaling attempt backfired – when they increased ad spend by even 20%, ROAS crashed and sales plummeted. They had already wasted $7,500 in failed scaling experiments with zero results to show for it.

The Scaling Trap: Their Google and Facebook campaigns were performing well at current levels, but the moment they tried to grow, everything fell apart. This is a scaling dilemma – good performance at small budgets that can’t translate to larger spend without killing profitability.

Our Strategic Solution:

• Manual Bidding Precision: Implemented manual bidding strategies instead of letting algorithms guess, giving us complete control over scaling pace.
• ROAS Targeting Systems: Created sophisticated return-on-ad-spend targets that maintained profitability during growth phases.
• Customer Segregation: Built separate Google campaigns for different customer segments, allowing personalized scaling for each audience type.
• Multi-Audience Facebook Campaigns: Developed distinct campaigns targeting different customer sets instead of broad scaling.
• Cross-Platform Customer Loop: Created a feedback system between Facebook and Google that captured conversions from both platforms, maximizing data for smart scaling.

GAME-CHANGING Results in Just 60 Days:

• Sales SKYROCKETED by 45% while maintaining profitable ROAS.
• RECOVERED the $7,500 they were hemorrhaging on failed scaling attempts.
• ELIMINATED revenue drops that destroyed 100% of previous scaling efforts.
• ACHIEVED 100% sustainable growth without the performance crashes.
• FREED UP 40+ hours/month – Jack now focuses purely on inventory while we manage everything.