Our Strategy

To achieve BingX’s growth and revenue goals, we implemented a performance-driven acquisition strategy focused on high-value GEOs, behavioral segmentation, and real-time revenue optimization. Our approach balanced global reach with local precision, ensuring scalable results under a rev-share model.

• Performance-Based GEO Targeting

  To unlock trading volume at scale, we began by running geo-performance analyses across a wide range of markets. These tests evaluated brand familiarity, average trading volume per user, and commission potential across regions. The insights allowed us to build a tiered GEO strategy focused on countries with high trading activity and efficient acquisition costs. This localized, data-driven approach gave us the ability to scale global reach while prioritizing performance and ROI.

• Behavioral Segmentation to Optimize for Trading Intent

  Beyond user acquisition, our efforts concentrated on identifying and nurturing high-value traders. We segmented users by their trading behavior — distinguishing first-time from returning traders, mapping conversion lag from registration to first trade, and evaluating trading volume tiers. These insights enabled us to tailor bidding strategies and campaign messaging to attract users most likely to engage deeply and trade consistently.

• Revenue-Focused Campaign Optimization

  With a rev-share model in place, profitability depended not just on acquisition volume, but on the revenue users generated after onboarding. We aligned campaign optimization around volume per user, time-to-first trade, and net commission return. Using continuous performance analysis and in-house analytics, we refined campaigns in real time to accelerate time-to-profitability and maximize long-term value — without exposing BingX to upfront financial risk.