Data stack essentials for technical founders

10 articles that take you from CDP basics to growth infrastructure. A structured path for founders building their data stack without an enterprise budget or a data team.

Step 1: Fundamentals

Customer data platform hub connecting multiple data sources

Understanding the CDP landscape

Every vendor pitches a CDP differently. Understand what CDPs actually do and don't do before evaluating whether you need one.

Real-time bidirectional sync between two connected apps

Why real-time data matters for customer experience

Stale data causes embarrassing customer interactions. Know when real-time sync matters and when a 15-minute schedule is good enough for your stage.

Field-level event tracking showing changed data values

Capturing user behavior across tools

Event tracking is the foundation of product analytics and behavioral marketing. Understand what to track before instrumenting your app.

Step 2: Building Skills

CDP hub-and-spoke architecture connecting sources to destinations

When to invest in a CDP and when to skip it

Most startups under 200 people don't need a CDP. This article helps you decide whether you need one now, later, or never.

Marketing technology stack of layered software tool cards

Building a lean, effective martech stack

The right martech stack for a startup has 5-8 tools connected well, not 20 tools connected poorly. Learn how to choose and connect the tools that matter.

Customer list ranked by lifetime value with top customers highlighted

Measuring customer economics

LTV drives every growth decision: pricing, acquisition spend, and retention investment. Understand how to calculate it and get the underlying data flowing to the right tools.

Step 3: Advanced Strategy

Three lifecycle stage columns with users at each stage

Running lifecycle marketing without enterprise tools

You don't need a $100k CDP to run lifecycle campaigns. Learn how to trigger the right message at the right time using tools you already have.

Automated workflow connecting multiple SaaS tools through a central operations hub

Aligning sales, marketing, and CS data

RevOps isn't a team you hire. It's a data problem you solve. Understand how to unify revenue data across tools before you're big enough for a dedicated RevOps person.

Building a unified customer view

A complete customer view doesn't require a warehouse or an identity graph. Learn what customer 360 actually means and the simplest way to achieve it.

First-party data protected in a secure database

Building a privacy-first data strategy

Third-party cookies are dying. First-party data is your competitive advantage. Understand how to collect, store, and activate it across your tools.