What is AI-ready data? The data AI can actually understand
AI-ready data is business data an AI can reason about without you in the room. Every number has one written definition, a labeled source and period, and a link to the products, orders, customers and spend it belongs to. Facts only you know, like unit cost, are written down and approved. Answers are checked against the source of record before anyone acts on them.
Read the guideWhy ChatGPT and Claude get your Amazon and Shopify numbers wrong
Paste an export into ChatGPT or Claude and the answer sounds right but is not. Ten ways AI misreads Amazon and Shopify data, and what fixes each one.
AI-ready dataWhat is an AI harness? The part that makes AI answers about your business safe to act on
The model is the engine. The harness decides what it can reach, what it is told, what it may change and how its answers are checked. Five parts, for brands.
ComparisonsTriple Whale and Polar alternatives for Amazon-heavy brands
Most Triple Whale and Polar alternative lists assume a Shopify store. Five questions to ask if Amazon is a big share of your sales, and six tools compared.
Brand structureSKU rationalization: how to decide which products to keep, fix or cut
SKU rationalization for consumer brands: judge product families first, rank variants by contribution margin per channel, count stock cost, then keep or cut.
AI-ready dataSemantic layer vs ontology vs context layer: what a consumer brand actually needs
A semantic layer defines metrics, an ontology models the business, a context layer briefs the AI. One Amazon order shows what each adds and what to build first.
Brand structureProduct hierarchy for consumer brands: from company down to the SKU
How to structure a consumer brand's catalog from company to brand, product family, variant and SKU, and why Amazon and Shopify listings do not do it for you.
Unit economicsIs Amazon Subscribe & Save profitable? The break-even math for sellers
Subscribe & Save trades a discount on every order for more orders. Who funds each tier, the break-even math, and the traps that make it look better than it is.
MeasurementIncrementality vs attribution vs marketing mix modeling: what each one tells you
Attribution hands out credit, incrementality tests measure extra sales, and a mix model reads spend against sales. What each answers, and where each misleads.
Unit economicsHow to calculate COGS and landed cost for Amazon and Shopify
The monthly COGS formula, landed cost per unit, what is not COGS (FBA and referral fees, ads), freight allocation and FIFO vs average, with a worked example.
Unit economicsFirst-order profitability and CAC payback: how long until a new customer pays you back
First-order profit is a first order's contribution margin minus CAC. Payback is the days until a cohort earns CAC back. Formulas, a worked example, and Amazon.
MeasurementDo Meta ads drive Amazon sales? How to measure it
Meta shows almost no purchases for ads that send shoppers to Amazon. Here are the three ways to measure what those ads really sell, and where each one breaks.
Unit economicsContribution margin for Amazon and Shopify: CM1, CM2 and CM3 by channel
How to calculate contribution margin for ecommerce when you sell on Amazon and Shopify: CM1, CM2, CM3, a per-unit waterfall, and break-even ROAS per channel.
Unit economicsBreak-even ROAS and MER for Amazon brands: the formulas, and where they mislead
Break-even ROAS is 1 divided by contribution margin before ads. How to set it per channel, why MER misleads when Meta sells on Amazon, and what to track.
AI-ready dataBest MCP servers for Amazon and Shopify brands: three kinds, and a 20-minute test
Platform MCP servers, data-pipe connectors and a joined brand model each do a different job. What each is good for, where it stops, and a 20-minute test.
AmazonAmazon settlement report vs orders report: which revenue number is right?
Amazon's orders report shows what customers bought. The settlement report shows what Amazon paid you. Here is when to use each, and how to reconcile the two.
AmazonHow to read Amazon's Search Query Performance report
Amazon's Search Query Performance report shows how often you were shown, clicked and bought on each search. How to read it, and the traps that make shares lie.
AmazonAmazon seller fees per unit in 2026: every fee, and what is left of a $24 sale
Every Amazon fee that can hit one unit in 2026, from referral and FBA to storage, placement and returns, with a worked $24 example of what is left per sale.
AmazonAmazon customer lifetime value: how to calculate LTV you can trust
How to calculate customer lifetime value on Amazon without the usual traps: cohorts, margin at fixed ages, buyer-data gaps, and a fair comparison with CAC.
AmazonWhy your Amazon ad sales and ACoS keep changing after the week ends
Amazon keeps crediting ad sales to a week for days after it ends, so ACoS falls as the week ages. How much it moves by ad type, and how to compare weeks fairly.