Intelligence Ops: an AI operator layer for growth teams
Statx Intelligence Ops connects to your analytics backbone and helps answer operator questions in real time—then turns those answers into actionable growth plans.
What Intelligence Ops does
It can answer questions like:
- Which SKUs have high margin but low ad investment?
- Which search terms spend but don’t convert?
- Which landing pages lose users after add-to-cart?
- Where should budget shift next week?
- What should be excluded, restructured, or scaled?
And it can help produce:
- PMax structure recommendations
- budget split proposals
- negative keyword plans
- Search campaign build inputs
- keyword/ad copy starting points
- content keyword direction for blog ideas
Not a generic chatbot. A data-backed operator assistant.
Most AI tools generate ideas.
Intelligence Ops generates operator outputs grounded in your own data.
Under the hood:
- it reads from a shared backbone (BigQuery + rules/config)
- it uses controlled tool interfaces
- it logs actions and outputs
- it keeps analytics and content workflows aligned
So your team gets answers faster—without losing control.
Why it matters
Your team spends less time:
- pulling reports
- combining spreadsheets
- re-checking numbers
- debating what to do next
And more time:
- launching
- optimizing
- scaling what works
Built on a shared backbone
Intelligence Ops and Content Ops both use the same source of truth:
- products and margins
- spend and performance
- search terms and landing pages
- brand rules and content rules
- audit logs and version history
That means better consistency between:
- what your ads are doing
- what your content says
- and what your data proves
Want AI that helps your team operate, not just brainstorm?
Let’s map your first Intelligence Ops use cases.