Optimizing Acquisition Systems for Financial Marketplaces
// CLIENT: Regional Fintech Aggregator
Our team conducted a performance audit for a financial services marketplace operating in the Philippines. The objective was to acquire qualified applicants for Overseas Filipino Worker (OFW) loans. The existing acquisition architecture suffered from significant inefficiency.
We identified the following structural failures:
- Geographic Aggregation: Campaign targeting was clumped into broad, monolithic ad sets. This prevented granular control over ad spend, causing the budget to flow indiscriminately into underperforming locations.
- High Acquisition Costs: These inefficiencies resulted in a high cost per lead (CPL), hovering between 300 and 320 PHP for qualified applicants.
- Scale Limitation: The inefficient allocation of funds served as a hard ceiling, preventing the client from scaling applicant volume despite consistent demand in the market.
Our team deployed a strategy focused on geographic segmentation and creative personalization. We did not merely adjust bids; we re-engineered the campaign architecture to prioritize high-intent data.
The implementation included the following steps:
- Geographic Deconstruction: We performed a forensic audit of the Facebook Ads data to identify top-converting locations. We systematically removed underperforming regions from the main campaign to prevent budget leakage.
- Ad Set Architecture: We migrated top-performing locations into dedicated, isolated ad sets. This allowed us to tailor specific messaging and creative assets to the unique behaviors of each high-value location.
- Algorithmic Optimization: By isolating these segments, we allowed the ad platforms to optimize more effectively, as the data signals became cleaner and more predictable.
- Knowledge Transfer: Following the successful optimization, our team developed a comprehensive operational checklist for the internal team to monitor, analyze, and maintain the campaign health long term.
The restructuring of the campaign architecture delivered immediate efficiency gains and long-term volume growth.
| Metric | Pre-Optimization | 7-Day Optimization | 3-Month Optimization |
|---|---|---|---|
| Cost Per Lead (CPL) | 300 - 320 PHP | 120 - 150 PHP | 60 - 100 PHP |
| Volume Scaling | Baseline | Increased | 2x Original Volume |
Within one week, our team reduced the CPL by over 50%. Over the following three months, we successfully drove the CPL down to 60-100 PHP, effectively doubling the loan applicant volume while maintaining the same monthly budget.