Data Strategy

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.

Score Recency, Frequency, and Monetary from a Shopify order export, build the 9 standard RFM segments, and get the exact action for each. Worked example inside.

The store funnel from sessions to profit: conversion rate, AOV, and abandonment benchmarks, the lever at each stage, and the margin trap it hides.

A good AOV runs $45-150 for consumables and $180-436 for jewelry, with DTC Shopify stores median $85-95. See benchmarks by vertical and the AOV-vs-margin trap.