The D2C Returns Playbook: Measure, Reduce, Absorb
Treat returns as a P&L line, not a support ticket. How to measure return rate honestly, cost a return in full, and reserve for it without guessing.
Explore practical strategies for building data-informed products, scaling analytics, and operationalizing insights across your organization.
Treat returns as a P&L line, not a support ticket. How to measure return rate honestly, cost a return in full, and reserve for it without guessing.
Shopify's profit reports miss ad spend, some fees, and return timing. Here's how to calculate real net profit per order, worked from an $80 checkout down to the bank.
Build a cohort retention table from a Shopify order export, no app required. Group by first-order month, read the cohort triangle, and spot a leaky bucket.
A copyable monthly P&L template built for D2C: revenue, discounts, returns, COGS, contribution margin, and net profit, with a line-by-line guide.
Meta claims $48K, Google claims $31K, Shopify shows $61K. Here's why ad revenue never matches Shopify, walked component by component, plus a monthly fix.
The 3-5x MER advice is meaningless without margin. Break-even MER equals 1 divided by contribution margin. See the math, bands by growth stage, and aMER.
Polar Analytics is built for $10M+ brands with a data team and a Snowflake budget. Here are five alternatives for everyone else, with a real comparison.
Triple Whale raised prices and its attribution often won't match Shopify orders. Here are six alternatives, compared, by what each is actually best for.
Daymark, Triple Whale, Looker Studio, Glew, Supermetrics, and more sorted into behavior analytics, attribution, pipelines, and BI so you pick the right one.