How to Build an AI-powered Lifecycle Marketing Knowledge Base in Airtable

Most lifecycle teams are sitting on years of experiment results, campaign data, and creative assets that are completely unsearchable. Every new campaign starts from scratch because nobody can find what worked last time. Riley Stevenson, Senior Lifecycle Marketing Manager at Self., built a centralized Airtable database that changes that — combining experiment writeups, creative assets, and campaign results in one place, with automatic calculations and AI querying tools that let you pull insights from your own historical data on demand. This session is a practical walkthrough of how to build it and why it compounds in value the longer you use it. What you'll learn: - How to structure an Airtable database to centralize experiment writeups, creative assets, and campaign results - How to set up automatic calculations that surface performance data without manual reporting - How to use AI tools to query your own historical campaign data for instant insights - Why a searchable knowledge base compounds in value over time and reduces repeated mistakes - How to get your lifecycle team to actually use a centralized system consistently