Digital Campaign Optimization Algorithms Reduce Customer Acquisition Costs By 50%

Business Objective

Our client is a global multinational financial services corporation, headquartered in the US.

Their key business need was to bring down customer acquisition costs for social media campaigns while also achieving new customer growth targets. Previous attempts had yielded less than desired results in this direction. They wanted to do Digital Campaign Optimization.

Solution Methodology

Developed an analytics framework to:
- Identify high performing segments
- Identify ad creatives with high ROI
- Determine optimal bidding price – CPC vs CPM
- Allocate budgets across segments and ad creatives
- Optimize spend based on time of day and day of week
Classified the audience into tens of thousands of segments based on factors such as granular geographies, demographics, interests, etc.
Identified, statistically, high-performing segments based on parameters such as CTR, CPC, CPA, etc.
Aligned ad bidding to segment performance
Used bandit strategies to allocate budget toward relevant audience segments and ad creatives. Optimized campaigns by time of day and day of week.

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Digital Campaign Optimization Algorithms Reduce Customer Acquisition Costs By 50%

Business Objective

Challenges

Solution Methodology

Business Impact

Digital Campaign Optimization Algorithms Reduce Customer Acquisition Costs By 50%

Business Objective

Challenges

Solution Methodology

Business Impact

Thank you!