Data
Marketing Mix Modeling: Practical Setup with Robyn
Build attribution models with Meta's Robyn framework using saturation curves, adstock decay, and holdout validation. SQL, R, and production pipeline.
data
Analytics, tracking, BigQuery and data architecture.
13 posts
Data
Build attribution models with Meta's Robyn framework using saturation curves, adstock decay, and holdout validation. SQL, R, and production pipeline.
verianalizi
Hightouch, Census, Segment Reverse ETL — production architectures, design tradeoffs, and CDP integration comparison.
Data
Engineering customer identity unification using hash matching, probabilistic linking, and household clustering. BigQuery + CDP implementation guide.
Data
From source mapping to semantic layer: how to turn marketing data into a decision engine. dbt modeling layers, exposure definitions, and production pipeline architecture.
Data
Cloud Run/Workers deployment, container templates, deduplication strategies. Technical roadmap for shipping server-side measurement to production.
verianalizi
Materialized views, partitioning, and query cost optimization design for querying 100M+ daily events in cohort tables in 5 seconds.
verianalizi
Cookieless measurement architecture: GDPR/KVKK-compliant tracking with Plausible Analytics, server-side aggregation, and a practical GA4 alternative.
Data
Meta's open-source MMM framework Robyn enables saturation, adstock, and holdout validation with practical R code and correct data structures for post-cookie measurement.
Data
Technical architecture for unifying fragmented signals into one customer profile using hash matching, probabilistic linking, and household identity.
Data
Source mapping, modeling layers, semantic layer, and exposures: production-ready architecture connecting marketing data to decision-making with dbt and BigQuery.
verianalizi
KVKK/GDPR-compliant measurement: Plausible + server-side aggregation for cookieless tracking, GA4 comparison, and production architecture.
Data
Deploy Meta's open-source MMM library Robyn on BigQuery to model saturation curves, adstock decay, and holdout validation for accurate channel ROI attribution.
Data
Modern solution architectures transforming scattered signals into single customer identity through hash matching, probabilistic linking, and household identity.