Drew AI

An introduction to Drew AI — your AI growth analyst that answers questions about your e-commerce data.

A beginner's guide to asking your first question and understanding Drew AI's responses.

Learn the differences between Light, Pro, and Deep Analysis models and when to use each.

What AI credits are, how you get them, where to check your balance, and when they reset.

How to purchase additional AI credit bundles, pricing, and how purchased credits carry forward.

What to expect when your AI credits are running low or exhausted, and how to get back up and running.

What happens to your AI credits when you upgrade, downgrade, or cancel your Datadrew plan.

Ask Drew AI about Meta Ads and Google Ads performance — ROAS, spend, conversions, and optimization tips.

Use Drew AI to analyze RFM segments, find at-risk customers, and get retention recommendations.

Ask Drew AI about hero products, frequently bought-together items, and product-level ROAS.

Use Drew AI to analyze customer lifetime value by cohort, product, or location.

Ask Drew AI to compare performance across Meta, Google, and GA4 with blended metrics.

Analyze Klaviyo campaign performance, flow metrics, and email revenue attribution with Drew AI.

Ask Drew AI how your store compares to industry benchmarks and get competitive insights.

A curated list of the best questions to ask Drew AI across ads, customers, products, and strategy.

Chart types Drew AI can create — line, bar, scatter, heatmap, pie, sankey, and more.

How to ask Drew AI to generate executive summaries, PDF reports, and custom dashboards.

Upload CSV, Excel, PDF, or other files for Drew AI to analyze alongside your store data.

Use the D.R.E.W. framework — Define, Restrict, Ensure availability, Yield actions — for better results.

Common reasons Drew AI can't find data and how to fix them — missing integrations, date ranges, and more.

Which data is available in real-time (ads, GA4) vs. historical only (Shopify orders up to yesterday).

What Drew AI can and cannot do — read-only access, data freshness, query limits, and known constraints.