Data Strategy

2026 benchmarks for Shopify D2C brands: ROAS, CAC, conversion rate, AOV, repeat rate, return rate, margin and LTV:CAC, with sources and how to read each one.

A high ROAS can still lose money. See the five reasons ROAS and profit disagree, a worked example of a 4x account that breaks even, and how to check yours.

How to reduce cart abandonment: find the step where shoppers leave in Shopify, fix that step first, set up recovery flows, and prove they work with a holdout.

What AI really does for a small D2C brand's analytics: plain-English querying, anomaly alerts, near-term forecasting, and a report you will read.

Connect your live Shopify store to ChatGPT or Claude with MCP: the real setup, the prompts that work, and where CSV exports still beat a connector.

Five customer segmentations that pay for D2C brands, built from store data not personas: RFM, discount sensitivity, new vs returning, affinity, channel.

Find customers who only buy with a code, measure their true margin after the discount, and decide whether to serve, re-price, or starve the segment.

Find your revenue-concentration cutoff from a Shopify export, profile what your top customers share, then use that profile to acquire more like them.

Read your new vs returning revenue split by month, compare it to benchmarks by store age, and catch the failure modes at both extremes before they cost you.