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 substantial annual ad spend across platforms

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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

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  Built the marketing data warehouse from scratch, consolidating data sources into a single reliable foundation

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  Set up an SEO program structured around the long, considered search journey of lease-to-own customers

Outcomes

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  Significant increase in marketing ROI through accurate attribution

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  Major reduction in wasted ad spend through optimised allocation

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

Stack & Tools