Frequently asked questions about ProfitPilot
Quick answers about Shopify focus, estimated profit, COGS, weekly profit audits, AI insights, product preview access, and billing.
ProfitPilot is a Shopify profit analytics app that combines your connected store data with your COGS to show estimated profit — not just revenue. It includes profit dashboards, weekly profit audits, AI insights, suggestions, and daily actions.
ProfitPilot calculates estimated profit from your connected Shopify orders plus the variant costs you enter. The formula factors in revenue, discounts, refunds, shipping impact, and COGS to estimate gross and net profit.
ProfitPilot has three monthly plans — Starter ($19), Pro ($39), and Enterprise($69) — billed securely through Shopify. New stores can explore the app on a trial before subscribing.
Without COGS, profit looks far more optimistic than it really is. Adding your product costs gives ProfitPilot the context it needs to estimate true margin and profit per product.
Yes. You can save costs directly from your synced catalog, import them in bulk by CSV, or enter variant costs manually — whichever fits your store best.
A weekly profit audit is a structured report that summarizes your week with KPI visibility, daily breakdowns, data-readiness notes, and the opportunities worth acting on — delivered automatically every week.
AI insights turn your aggregated store metrics into readable business context. Suggestions surface issues like dead stock, refund pressure, or discount dependency, and daily actions prioritize the few things worth tackling first.
No. Core analytics are read-only. Suggestions and daily actions are decision-support — they recommend what to review, but never change your Shopify store silently.
They are estimates. ProfitPilot uses your store data and the costs you provide to estimate profit, so accuracy improves as your COGS coverage becomes more complete.
Your Shopify access tokens are encrypted at rest, and customer emails are excluded from the AI context. ProfitPilot focuses on aggregated store metrics, not personal customer data.
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