Building a Unified Marketing Data Ecosystem for a Leading Destination Marketing Organization

The Client

A Miami-based destination marketing organization with over $1.4 billion in annual revenue needed to replace a fragmented, manually maintained marketing data ecosystem that was limiting campaign agility, data reliability, and analytical capability.

The Foundation

The organization maintained marketing and operational data across five source platforms including Basis, Act-On, Simpleview, Nativo, and Gravity Forms, with Snowflake available as the central data platform and Simon used for downstream campaign activation. The raw data existed but was siloed and required constant manual intervention to manage schema changes and pipeline maintenance.

The Constraint

Frequent schema changes in source systems broke pipelines and required constant manual fixes, creating operational overhead and delays. Without a clean, centralized data foundation, accurate data could not be pushed reliably into downstream activation systems for targeted campaigns and personalized customer experiences.

The Multiplier

Logic Pursuits designed schema-aware ingestion pipelines to consolidate data from all five source platforms into Snowflake with automated schema handling, built robust logging, monitoring, and alerting for pipeline health and data reliability, and transformed raw source data into structured, analytics-ready models to support business intelligence and campaign activation.

What Changed

The organization moved from a manually patched, fragile data ecosystem to a resilient, automated marketing data foundation. Campaign data became reliable and consistent, activation timelines shortened substantially, and the team was freed from constant pipeline maintenance to focus on analytical and strategic work.

What Multiplied

The organization moved from a manually patched, fragile data ecosystem to a resilient, automated marketing data foundation. Campaign data became reliable and consistent, activation timelines shortened substantially, and the team was freed from constant pipeline maintenance to focus on analytical and strategic work.

Manual Data
Handling

80% reduction through schema automation and proactive monitorin

Time-to-Insights

70% faster, enabling significantly improved campaign agility

Campaign
Activation

Activation time cut in half through CDP-ready data pipelines

Architecture
Resilience

Future-ready foundation established to support ongoing marketing and analytics growth