Case studies

Performance work should be easy to judge.

These examples show the result first, then the reason behind it. Clear problem. Clear intervention. Clear outcome.

What to expect

Each case starts with the headline result.

Then it shows what was fixed and why performance improved.

Selected wins

Big result first. Clear explanation after that.

That is usually the fastest way to understand whether the work is relevant to your business.

Case 1

Nissan

Automotive Lead Generation

Reduced CPL from R2,500 → R60

Achieved by improving tracking signals and consolidating conversion events to give Meta better optimization data.

Cost per lead

R2,500

→ R60

Signal quality

Fragmented

→ Unified

Challenge

Lead generation was being held back by fragmented conversion signals and weak optimization data.

What I changed

Rebuilt GTM logic with cleaner event mapping.

Consolidated multiple conversion events into one stronger signal.

Improved the quality of data sent back into Meta.

Outcome

Lead costs dropped sharply and the account became far easier to scale with confidence.

Case 2

Scotch & Soda

E-commerce Growth

Scaled ROAS from 6.0 → 12.8

Achieved by scaling profitable segments carefully and protecting efficiency as spend increased.

ROAS

6.0

→ 12.8

Scaling posture

Profitable

→ Scaled profitably

Challenge

The goal was not to spend more for the sake of it. The goal was to scale while keeping returns healthy.

What I changed

Shifted budget into the segments already proving profitable.

Protected efficiency thresholds during scale-up.

Kept focus on purchase intent and revenue quality.

Outcome

Revenue grew from a strong base without sacrificing discipline or margin awareness.

Case 3

Denham

E-commerce Optimization

Improved ROAS from 2.5 → 4.9

Achieved by tightening campaign structure, improving optimization decisions, and scaling with better guardrails.

ROAS

2.5

→ 4.9

Scaling posture

Cautious

→ Confident

Challenge

The account needed clearer focus and better optimization discipline to move past average performance.

What I changed

Refined campaign and audience structure.

Optimized around the combinations with the clearest return.

Scaled in a controlled way instead of chasing spend volume.

Outcome

The account moved from mediocre efficiency to a stronger and more dependable return profile.

Next step

Want to scale revenue and lower your CPA?

If the issue is weak tracking, poor efficiency, or stalled scale, I can review the account with you.

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