Stop guessing what your CDP will actually cost.
Most brands discover the true cost of their CDP architecture six months after signing — when the MTU count is three times what the vendor quoted, a sudden traffic spike from a viral campaign doubled the invoice, and the warehouse-native build is still not in production.
This workbook gives you the framework to model the real number before you commit to either option.
What Is Inside
A structured, evidence-based workbook for evaluating the cost scalability of packaged and warehouse-native CDP architectures against your specific cost requirement.
Part 1 — Background Context How packaged CDPs price on MTUs and event volume, where costs inflate beyond the base plan, and where warehouse-native costs hide beyond compute and storage. Every cost trap, explained before you talk to a single vendor.
Part 2 — The Due Diligence Work Seven specific questions with detailed task instructions for each. Exactly what you need to do — for both architecture options — to answer each question with confirmed evidence rather than assumption.
Part 3 — The Scorecard A binary scoring model that produces a weighted, comparable score for both options. One number per architecture. Defensible in a board conversation.
What You Will Walk Away With
A completed cost model for both architecture options, confirmed vendor quotes or contractor estimates for every cost component, and a scored recommendation you can present with confidence.
This Workbook Is For You If
You are a founder, Marketing Ops lead, or data lead at a brand doing $5M–$100M in revenue. You are evaluating packaged vs. warehouse-native CDP architecture. You have been quoted a headline CDP price and you suspect the real number is higher. You need a defensible cost comparison before any procurement decision is made.
This workbook covers Data.C1 — one of 50+ capabilities across five layers in the Datawhistl CDP Architecture Selection Toolkit. Each workbook follows the same structure and produces a scored output that feeds into the final architecture decision.
Purchasing the full toolkit? Contact hello@datawhistl.com for bundle pricing.
