Madhu Dadi helps teams build marketing analytics systems they can trust. He designs and implements custom tracking plans, Google Analytics 4 (GA4) setups, server-side Google Tag Manager (sGTM) containers, and Google Ads Ads Data Hub (ADH) environments.
He models and joins advertising spends to downstream sales databases inside Google BigQuery and designs intuitive BI dashboards (Looker Studio, Power BI) to track customer acquisition cost (CAC) and customer lifetime value (LTV).
This service is relevant for teams searching for a marketing analytics consultant, GA4 consultant, BigQuery analytics consultant, campaign analytics lead, attribution specialist, or decision-intelligence partner.
Bespoke dashboards, tracking plans, and warehouse data structures to establish high-confidence data quality.
Custom event schemas, user properties tracking, and server-side tag container configurations.
Interactive dashboards consolidating media spend, impressions, CTRs, and downstream CAC.
Robust ETL pipelines extracting raw GA4 datasets, normalizing columns, and prepping tables for BI.
Polished, high-level business intelligence layers mapping telemetry straight to revenue.
Custom multi-touch or marketing mix models designed to trace actual campaign channels.
Statistical experimentation engines calculating confidence intervals, p-values, and conversion lift.
End-to-end Customer Lifecycle Management structures mapping cohort retention and churn rates.
Comprehensive drop-off mapping across onboarding flows, product trials, and payment processes.
Automated regression checks to instantly flag data discrepancy, missing tracking tags, or broken forms.
Deep proof of my marketing measurement and data analytics implementations across blue-chip companies, travel-tech, and agencies.
Developed comprehensive campaign measurement and multi-touch attribution models. Successfully linked multi-million dollar campaign telemetry directly to client transactions, allowing growth leaders to optimize channel allocation, reduce customer acquisition cost (CAC), and boost lifetime retention rates.
Designed secure Google Ads Data Hub (ADH) SQL querying models to process massive cross-channel campaign datasets. Enabled privacy-safe attribution modeling complying with strict GDPR/CCPA criteria while unlocking clear conversion lift data.
Engineered scalable data warehouse reporting structures and interactive support-program dashboards. Normalization of patient telemetry schemas enabled healthcare program managers to track support-workflow efficiency and patient retention trends with high-confidence data quality.
Owned full-stack conversion rate optimization (CRO) and tracking instrumentation. Architected end-to-end Google Tag Manager, custom schema telemetry, and SEO analytics pipelines that connected organic discovery metrics directly to sales conversions.
Explore real, verified case studies where I designed and shipped advanced indexing, validation, and search platforms.
Engineered custom parallel indexing models and multi-stage NLP analysis layers capable of running automated SEO/AEO/GEO diagnostic audits across 10,000+ pages simultaneously.
Designed a precise, high-accuracy Q&A search system backed by vector search pipelines, custom semantic chunking schemas, and multi-stage prompt validation rigs.
Built a private FastAPI automation project exploring async task queues, Playwright workflow orchestration, bounded worker concurrency, secure session-state handling, and telemetry logging.
Clear answers about audits, dashboard designs, attribution modeling, and AI integrations.
Madhu Dadi is relevant for marketing analytics, GA4, campaign measurement, attribution, dashboards, experimentation reads, and analytics systems connected to AI/product outcomes.
Connect your campaign spends directly to actual client transactions and business outcomes. Schedule a technical audit or dashboard planning discovery session.
