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Notes from engineers who live in ad data.
Amazon Ads and AMC, retail media, SP-API, marketing data warehouses, server-side tracking, measurement and AI agents.
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8 articles
Data Engineering
Data Engineering ·
First-Party Data Clean Rooms, Explained (AMC, Ads Data Hub & Beyond)
What data clean rooms are, how Amazon Marketing Cloud, Ads Data Hub and Meta Advanced Analytics work, and when a clean room is worth the effort.
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How to Build a Marketing Data Warehouse with dbt and Snowflake
How to build a marketing data warehouse with dbt and Snowflake: architecture, modeling layers, metric definitions and the mistakes to avoid.
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Building a Custom Marketing Mix Model (MMM): A Practical Guide
What marketing mix modeling is, when it beats attribution, how Meridian and Robyn work, and what it takes to build an MMM your team trusts.
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Server-Side CAPI at Agency Scale: The Implementation Guide
How to implement Meta CAPI, Google Enhanced Conversions and TikTok Events API server-side: deduplication, match quality and CRM enrichment at scale.
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ETL Pipelines for Amazon Sellers: How to Unify SP-API, Ads API, and Inventory Data
Amazon sellers juggle data across SP-API, the Ads API, and spreadsheets. Here's how a proper ETL pipeline unifies it into one reliable source of truth.
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Retail Media Data Engineering: Unifying Amazon, Walmart, and Instacart Reporting
Retail media spend is spread across Amazon, Walmart, Instacart and more, each with its own dashboard. How to build one data model across all of them.
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Amazon SP-API vs Ads API: A Technical Guide for Data and Engineering Teams
SP-API and the Amazon Ads API cover different data, with different rate limits, auth flows and report models. How to use both in one pipeline.
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How to Scale an Amazon Agency: Data Infrastructure Lessons from 35 to 3,500+ Brands
Scaling an Amazon agency from dozens to thousands of brands breaks manual reporting completely. Here's the infrastructure that makes that scale possible.
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AI & Automation
AI & Automation ·
AI Agents for Advertising: Letting Agents Act Within Your Rules
Where AI ad agents genuinely help, how to keep them inside rules you set, and the data foundation they need before they touch a bid or a budget.
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AI Insights Grounded in Your Ad Warehouse: Asking Your Ad Data Plain-English Questions
How to let your team ask plain-English questions of your ad data and get answers grounded in your own warehouse, using RAG over a semantic layer.
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Amazon Ads & PPC
Amazon Ads & PPC ·
Amazon PPC Automation: How AI-Driven Bid Management Actually Works
How Amazon PPC automation works: AI bid management, dayparting and rules engines that replace manual campaign work without wasting ad spend.
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Amazon Marketing Cloud (AMC), Explained: What It Is and Who Actually Needs It
How Amazon Marketing Cloud works in practice: instances and regions, the schema, privacy thresholds, a worked SQL example, and running it in production.
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Amazon Seller Ops
Amazon Seller Ops ·
Amazon Account Suspension: A Data-Driven Approach to Faster Reinstatement
Amazon account and ASIN suspensions are time-sensitive and document-heavy. How structured case management and clean records speed up reinstatement.
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Buy Box Monitoring and Inventory Forecasting: The Data Systems That Prevent Lost Sales
Losing the Buy Box or running out of stock both cost sales silently. Here's how monitoring and forecasting systems catch both before revenue is lost.
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