Know whether ads are really profitable
Go beyond platform ROAS by including product costs, refunds, and ad spend in one profit view.
Combine ad spend, orders, refunds, product costs, and creative performance to calculate real profit and decide which campaigns to scale, fix, or stop.



Ad budget to cut first in the sample data, with reasons, actions, and owners generated together.
Go beyond platform ROAS by including product costs, refunds, and ad spend in one profit view.
Highlight low-profit ad groups, creative fatigue, and budget risk without digging through spreadsheets.
Every diagnosis can become a client report, team task, and trackable campaign plan.
Budget changes, pauses, scaling, and launch packages run in sandbox before human-confirmed publishing.
Run profit attribution with orders, costs, and ad spend before Google or Shopify authorization.
When ready, OAuth enables read-only sync for accounts, ads, products, orders, and last-30-day performance.
AI creates creative variants, budget suggestions, launch packages, and client reports for human approval.
Approvals, exports, automation actions, and rollback events are recorded for team and client review.
Pain: Ad costs keep rising, but it is hard to know which products really make money.
Outcome: See true profit by SKU, ad group, and creative so you can scale or cut with confidence.
Pain: Clients want outcomes while teams spend hours cleaning data and writing reports.
Outcome: Standardize profit reports, optimization advice, and follow-up tasks.
Pain: Budget decisions rely on experience and are hard to explain later.
Outcome: Turn every budget, creative, and launch action into an explainable operating plan.
Validate profit impact first, then decide whether to move into production.
For single-brand validation
For multi-account growth teams
For paid media agencies
Yes. Use CSV or sample data to validate profit attribution, reports, tasks, and sandbox automation first.
Not by default in phase one. It creates recommendations, launch packages, and sandbox results; real publishing still needs human confirmation.
A normal report shows what happened. This system connects profit, risk, and next actions with approval and audit history.
Both. Brands use it for profit and budget decisions. Agencies use it for multi-client delivery, reports, and permissions.