Practical notes for Shopify brands that need growth and finance to make decisions from the same commercial numbers.
Reporting definitions, profitability logic and practical ways to make the next growth decision with more confidence.
Sales can rise while the bank balance tightens. Here is a practical way for Shopify brands to connect SKU contribution, stock cover and purchase-order timing before deciding what to buy next.
Read — ↗Your top-selling product can still weaken contribution after discounts, returns, fulfilment and acquisition. Here is the SKU-level view to build before promoting or reordering it.
Read — ↗Revenue and ROAS can both rise while the commercial picture worsens. Here is the small set of definitions a Shopify brand needs before it can decide where the next pound should go.
Read — ↗A D2C marketing stack simulated from a known ground-truth process, centralised through dbt, and measured with a Bayesian marketing-mix model — where last-click's channel credit is provably wrong by construction, and every corrected number is derived rather than asserted.
Read — ↗A supply-chain lakehouse built on Databricks and the medallion architecture — from internally consistent simulated data through Bronze and Silver refinement to Gold decisions, with every headline number derived rather than asserted.
Read — ↗An end-to-end data architecture built with AWS, Snowflake, and dbt, structured around the medallion architecture — moving data from raw ingestion to trusted, business-ready outputs in a way that is secure, maintainable, and ready to scale.
Read — ↗A technical comparison of object, block, file, and analytical storage across the three major cloud providers — when to use each, and the trade-offs that matter.
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