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Identity Resolution: Unifying Six Signals Into One Customer Identity
Hash matching, probabilistic linking, and household identity—connecting fragmented signals and binding marketing data to decision engines.
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Analytics, tracking, BigQuery and data architecture.
18 posts
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Hash matching, probabilistic linking, and household identity—connecting fragmented signals and binding marketing data to decision engines.
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Source mapping, modeling layer, semantic layer, exposures — architecture and practical dbt implementation connecting marketing data to decision-making.
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Practical guide to deploying sGTM container on Cloud Run, setting up Meta CAPI integration, and improving measurement quality through event deduplication.
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Learn how to scale cohort analysis tables in production using materialized views, partitioning, and query cost optimization techniques.
verianalizi
Cookieless tracking, GDPR/KVKK compliance, and GA4 alternative: rebuilding user measurement with Plausible + server-side aggregation architecture.
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Meta's Robyn framework for MMM implementation: saturation curves, adstock decay, holdout validation. R code and BigQuery integration included.
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How Hightouch, Census, and Segment move enriched customer data from BigQuery/Snowflake to CRM, ad platforms, and email services. Use case comparison and architectural trade-offs.
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How to unify fragmented touchpoints into one customer identity using hash matching, probabilistic linking, and household identity. Server-side pipeline and practical schema.
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Technical guide to deploying server-side GTM containers on Cloud Run or Workers, establishing Conversion API deduplication, and designing production-ready monitoring.
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Cookieless measurement architecture: Plausible, server-side aggregation, and GDPR/KVKK-compliant tracking. GA4 comparison and first-party data integration.
verianalizi
Meta's open-source MMM library Robyn demonstrated on production data, covering saturation curves, adstock decay, and holdout validation.
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Hash matching, probabilistic linking, and household clustering to unify fragmented touchpoints into one customer identity. Production identity graph architecture essentials.
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Build attribution models with Meta's Robyn framework using saturation curves, adstock decay, and holdout validation. SQL, R, and production pipeline.
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Engineering customer identity unification using hash matching, probabilistic linking, and household clustering. BigQuery + CDP implementation guide.
verianalizi
Cookieless measurement architecture: GDPR/KVKK-compliant tracking with Plausible Analytics, server-side aggregation, and a practical GA4 alternative.
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.
Data
Modern solution architectures transforming scattered signals into single customer identity through hash matching, probabilistic linking, and household identity.