Product analytics Intelligence for Ecommerce Ads
How it works
The AdexPilot workflow
Bring product evidence together
Shopify, Google Ads, Merchant Center, Meta, inventory, cost, and product data feed the performance view.
Group products by decision type
Products become scale, fix, pause, reduce, test, restock, or hold candidates based on current evidence.
Review actions with context
Teams can inspect why a product is recommended before approving feed, budget, or campaign work.
Why product intelligence
Product decisions need more than campaign averages.
Ecommerce advertising depends on individual products. AdexPilot helps teams inspect product-level performance and readiness so they can avoid scaling weak products or ignoring hidden winners.
- Identify profitable products with room to scale.
- Find products spending budget without enough return.
- Detect products with demand but little advertising coverage.
- Separate feed repair from budget optimization.
Decision memory
Recommendations should explain their evidence.
Operators need to know why a product is considered a winner, waste risk, or feed blocker. AdexPilot turns raw signals into reviewable product actions.
- Profit after ads and margin context.
- Spend, orders, revenue, and conversion signals.
- Inventory and readiness warnings.
- Feed and Merchant Center caveats.
Reference
Common questions
What is product performance intelligence?
It is product-level analysis that combines commerce, advertising, feed, inventory, and cost evidence to support better decisions.
How is this different from a dashboard?
A dashboard shows metrics. AdexPilot turns product evidence into decision categories and recommendation workflows.
Can product intelligence help with both Google and Meta?
Yes. Product evidence can support Google Shopping optimization, supplemental labels, and Meta catalog readiness.