Snap Finance

A fast-growing US fintech needed enterprise-grade analytics infrastructure built from scratch, including attribution modeling that could connect offline loan applications to digital marketing spend across multiple ad platforms.

Approach

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  Designed and built GA4 implementation with server-side tagging for accurate, privacy-compliant data collection

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  Built custom multi-touch attribution models on BigQuery to analyse $15M+ in annual ad spend

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  Developed logistic regression models to predict and model untrackable offline finance applications

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  Implemented Conversion API integrations for Google Ads, Meta, Basis, and StackAdapt for offline conversion tracking

Outcomes

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  46% increase in marketing ROI through accurate attribution

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  $2.3M in annual savings from optimised ad spend allocation

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  Full offline-to-online data bridge enabling true performance measurement

Stack & Tools