Free white paper · 18-page PDF

The Ecommerce and Consumer Brand Data Stack

Tool selection by stage, and a phased implementation plan. Written for founders, finance leads, growth leads, and the first data hire at DTC and omnichannel consumer brands.

Cover of the white paper The Ecommerce and Consumer Brand Data Stack, with the seven layers of the stack

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PDF, 18 pages, 2.1 MB

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What's inside

Choose by stage, not by logo

A recommended stack for a single-channel Shopify brand, a multi-channel brand on Amazon and TikTok Shop, and an omnichannel brand with wholesale and retail.

Packaged tool or warehouse

When Triple Whale, Polar, Peel, Daasity, and others are the right call, and the signals that you have outgrown one.

Definitions before tools

The seven layers of the stack, and why a written metric dictionary is the cheapest layer and the one everything else reads.

A five-phase plan

Deliverables, owners, acceptance checks, and risks for each phase, plus a readiness checklist and common failure modes.

Contents

  1. Who this paper is forpage 3
  2. The seven layers of the stackpage 4
  3. The ecommerce stack, mappedpage 5
  4. Packaged analytics or a warehousepage 6
  5. Stage 1: single-channel Shopifypage 7
  6. Stage 2: multi-channelpage 8
  7. Stage 3: omnichannelpage 9
  8. Ingestionpage 10
  9. Modeling, semantic layer, BI, activationpage 11
  10. The implementation plan, phases 0 to 4page 12
  11. Where to start: readiness checklistpage 16
  12. Common failure modespage 17