[Case Study] 637K Conversions: How a SEA iGaming Campaign Scaled with Low CPA
What does it take to scale a Southeast Asia campaign without blowing up CPA? This case breaks down how a simple funnel and smart optimization led to 637K conversions and $222K in revenue.
The first quarter (Q1) of 2026 turned into a strong scaling window for a Southeast Asia iGaming campaign that focused on one simple idea: volume first, efficiency second.
Instead of chasing quick wins, the team built a
system that could absorb large volumes of traffic while staying within strict CPA limits (and it paid off).
Over the quarter, the campaign reached considerable heights:
Setup
The setup was intentionally kept simple so that there was no over-engineering nor unnecessary complexity.
Strategy
The
strategy followed a very practical logic: build volume fast, then shape performance around it.
Multi-brand rotation:
Rather than betting on one “perfect” offer, the team rotated multiple brands at the same time. This made testing faster, reduced risk, and helped keep traffic stable even when individual creatives or funnels started to fatigue.
Pre-landing + PWA (Progressive Web App) flow:
At the same time, the funnel itself did most of the heavy lifting. Instead of sending users directly to the product, the traffic first went through a
gamified pre-landing. This strategy allowed users to warm up and made the transition to installation feel like a natural next step.
Web-focused traffic:
From there on, users first moved from prelander to PWA install and then into the product itself. This user journey included no unnecessary steps, but a smooth path designed to convert at scale.
Optimization
Instead of trying to optimize everything at once, they focused on what actually mattered: keeping CPA within KPI while improving post-install performance.
Results
The campaign achieved full KPI compliance and strong scalability
By the end of the period, the campaign wasn’t just profitable but was stable and scalable. Most importantly, it fully met the advertiser’s KPI and proved strong enough to be scaled further into new regions.
Read the full case study via the link and
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