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Performance Marketing
Lucky Spin Gaming needed to scale from a single-market operator to a multi-regional powerhouse — fast. Their existing ad accounts were hitting ceiling effects at $50K/month, and every attempt to scale further destroyed their unit economics. We rebuilt their entire paid acquisition infrastructure with a custom attribution model, automated bidding system, and market-specific creative frameworks that enabled 40x spend scaling while cutting CPA by 45%.
Lucky Spin Gaming was stuck in a growth trap. Their performance marketing team had successfully built paid acquisition to $50K/month with a $180 CPA — but every attempt to scale beyond that threshold destroyed their unit economics. CPAs would spike to $300+ within days of budget increases, and quality metrics (FTD rate, 30-day retention) deteriorated sharply at higher volume. The root problem ran deeper than bidding strategy: their attribution model was last-click only, missing the 60% of conversions that involved 3+ touchpoints. They were optimizing toward the wrong signals, over-spending on bottom-funnel channels and starving the top-of-funnel activity that actually drove awareness. With expansion targets in 12 new markets — each with unique regulations, languages, and player behaviors — they needed a fundamentally different approach to paid acquisition.
We rebuilt Lucky Spin's entire paid acquisition infrastructure from the ground up. Phase 1 (weeks 1-4) focused on measurement: we implemented a custom multi-touch attribution model tracking 14 touchpoints across the player journey, replacing last-click with a data-driven model that revealed the true value of each channel. Phase 2 (weeks 5-12) restructured campaign architecture: instead of organizing by channel, we segmented by player value potential — high-LTV, medium-LTV, and acquisition — with separate budgets and KPIs for each. We built automated bidding rules that adjusted bids in real-time based on 23 signals including time of day, device, market, and player behavior patterns. Phase 3 (months 4-8) was the scaling engine: we expanded to 12 markets, producing 2,400+ creative variants with AI-assisted localization and market-specific compliance. Each market had its own creative testing framework running 50-100 variants simultaneously. The result: spend scaled from $50K to $2M/month over 8 months while CPA dropped 45% — from $180 to $99. ROAS improved from 2.1x to 4.2x, and the attribution model identified $340K/month in previously wasted spend.