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Medallion architecture

As explained in First-Party Data Activation

Medallion architecture is a layered data-organization pattern that progressively refines data through bronze, silver, and gold layers.

Medallion architecture organizes data into progressive layers, moving from raw capture to consistent, analytics-ready information and finally to campaign-ready datasets. It gives fragmented marketing data a controlled path from collection to action. section 5.3.1 section 5.5

Use the layers to assign each stage a clear responsibility:

Abandoned cart recovery

An abandoned-cart interaction enters the bronze layer as raw activity, is cleaned and unified in silver, and reaches gold as a dataset that can power a real-time campaign through a composable CDP. section 5.3.1 section 5.3.5

First-party audience activation

A segment such as high-value customers who have not engaged with email for 30 days can be refined through the layers and synchronized to email or paid-media platforms for tailored follow-up. section 7.6.3

Figure 5.3 Medallion architecture for abandoned cart recovery
A diagram with text and images

AI-generated content may be incorrect.

Trace the abandoned-cart journey visually from raw interactions through transformation to real-time campaign activation. section 5.3.1

How First-Party Data Activation covers it

How deep it goes
Defines three layers and their responsibilities, but stops short of detailed implementation, tooling, or pipeline configuration.
Examples
Uses abandoned-cart recovery and first-party audience segments to show how refined data supports targeted campaigns.
What it assumes
Assumes familiarity with marketing data sources while establishing the roles of raw data, unified data, and activation datasets.
What you can do after
Apply it via a data lakehouse and composable CDP to create consistent datasets and activate targeted campaigns.
How it connects
Connects data lakehouses, composable CDPs, data governance, data quality, audience segments, and real-time marketing activation.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of First-Party Data Activation. The section links point to the parts of the book it draws on.