Architecture · PREDICTif Solutions for Wilsonart

Marketing Analytics Lakehouse on AWS

End-to-end multi-channel campaign tracking: ad platforms, website, CRM, and marketing tools unified into reporting-ready models. Later brought in-house.

Source

Ad platforms

Source

Website

GA4 / GTM

Source

CRM

Source

Marketing tools

Ingestion & transform

Lambda + Glue

Event-driven pipelines into the lakehouse

Governed storage

S3 + Lake Formation

Customer data foundation for Marketing

Warehouse

Redshift

Reporting-ready models for attribution, funnel analysis, and planning

Use

Attribution

Use

Funnel analysis

Use

Planning

Use

Tableau / KPIs

The infrastructure layers are bought commodity; the joins and the lifecycle model are the build — the composable pattern from Buy vs. Build for the GTM Stack.

Result

~90% of marketing spend attributable across the customer lifecycle — cost per lead, opportunity, and closed-won pipeline by channel and campaign.