Our Three Step Process
Transforming DeeMoney's Marketing Efficiency Through Automation and Data-Led Strategy
Our Three Step Process
Transforming DeeMoney's Marketing Efficiency Through Automation and Data-Led Strategy
DeeMoney restructured its marketing approach by shifting from offline-heavy spending to automation-driven performance systems, reducing acquisition costs and improving operational efficiency.
DeeMoney, a leading cross-border payment brand, faced a challenge where its marketing spend—dominated by offline channels such as PR and events—wasn’t delivering proportional value. With roughly 70% of its budget tied to offline and install-focused campaigns, the team lacked clarity on true customer acquisition cost (CAC) versus lifetime value (CLTV).
The initiative began with identifying the real CAC-to-CLTV ratio, streamlining processes, and replacing expensive tools with scalable automation. The team built AI-generated user content (UGC) videos, leveraged automated SEO blogs, and optimized tracking systems for better attribution accuracy.
This shift moved the company away from vanity metrics like installs and ad impressions, aligning all efforts toward measurable profitability. The transformation reduced overall CAC by 60%, decreased tool and manpower costs, and built a leaner, data-informed growth system—without compromising revenue.
Significant Numbers
60% reduction in customer acquisition cost (CAC)
50% reduction in team size with no revenue impact
50% reduction in MMP tool costs
Transitioned focus from install-based KPIs to CLTV-driven growth metrics
DeeMoney, a leading cross-border payment brand, faced a challenge where its marketing spend—dominated by offline channels such as PR and events—wasn’t delivering proportional value. With roughly 70% of its budget tied to offline and install-focused campaigns, the team lacked clarity on true customer acquisition cost (CAC) versus lifetime value (CLTV).
The initiative began with identifying the real CAC-to-CLTV ratio, streamlining processes, and replacing expensive tools with scalable automation. The team built AI-generated user content (UGC) videos, leveraged automated SEO blogs, and optimized tracking systems for better attribution accuracy.
This shift moved the company away from vanity metrics like installs and ad impressions, aligning all efforts toward measurable profitability. The transformation reduced overall CAC by 60%, decreased tool and manpower costs, and built a leaner, data-informed growth system—without compromising revenue.
Significant Numbers
60% reduction in customer acquisition cost (CAC)
50% reduction in team size with no revenue impact
50% reduction in MMP tool costs
Transitioned focus from install-based KPIs to CLTV-driven growth metrics
DeeMoney restructured its marketing approach by shifting from offline-heavy spending to automation-driven performance systems, reducing acquisition costs and improving operational efficiency.
DeeMoney, a leading cross-border payment brand, faced a challenge where its marketing spend—dominated by offline channels such as PR and events—wasn’t delivering proportional value. With roughly 70% of its budget tied to offline and install-focused campaigns, the team lacked clarity on true customer acquisition cost (CAC) versus lifetime value (CLTV).
The initiative began with identifying the real CAC-to-CLTV ratio, streamlining processes, and replacing expensive tools with scalable automation. The team built AI-generated user content (UGC) videos, leveraged automated SEO blogs, and optimized tracking systems for better attribution accuracy.
This shift moved the company away from vanity metrics like installs and ad impressions, aligning all efforts toward measurable profitability. The transformation reduced overall CAC by 60%, decreased tool and manpower costs, and built a leaner, data-informed growth system—without compromising revenue.
Significant Numbers
60% reduction in customer acquisition cost (CAC)
50% reduction in team size with no revenue impact
50% reduction in MMP tool costs
Transitioned focus from install-based KPIs to CLTV-driven growth metrics
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Check our other project case studies with detailed explanations