Marketing Analytics and Attribution

Build and interpret cohort analyses to track retention, revenue, and engagement trends across customer acquisition groups and marketing campaigns.

Model, predict, and grow customer lifetime value (CLV/LTV) using data-driven segmentation, retention strategies, and revenue forecasting frameworks.

Design and interpret incrementality tests and geo-based experiments to measure the true causal impact of marketing campaigns and ad spend.

Design executive-ready marketing attribution reports that communicate channel contribution, ROI, and budget performance clearly to non-technical stakeholders.

Design and audit marketing data pipelines to ensure clean, reliable data flows from ad platforms, CRMs, and analytics tools into reporting systems.

Build and interpret marketing mix models (MMM) to measure channel effectiveness, quantify incrementality, and guide strategic budget allocation.

Model and analyze multi-touch attribution across marketing channels to understand true conversion drivers and optimize budget allocation.

Measure and optimize return on investment across paid media channels — search, social, display, and video — using advanced analytics and attribution frameworks.

Design and govern UTM tracking taxonomies and campaign tagging frameworks to ensure clean, consistent marketing attribution data across all channels.