
Case Study
How Data-Driven Attribution Model Boosts l'tur's Budget Efficiency & Revenue
L'tur overcame budget allocation challenges by partnering with TRKKN to implement a data-driven attribution model using Google Cloud services. The model, replacing last-click attribution, considered product-specific lookback windows and touchpoint chains, offering a comprehensive understanding of customer journeys. This approach allowed l'tur to improve budget efficiency and traffic quality.
Building a custom attribution model in BigQuery
Automating the model on Google Cloud
Enabling deep-dive customer journey analysis
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