Autonomous experiment engine (L5)
Creative and landing page variants are generated, launched, measured, and retired without a human approving each cycle, inside strict brand and claim guardrails. Humans set the guardrails and read the results.
The steps
- 01
Freeze the claim and brand guardrails
Tool: Manual
Approved claim list, banned phrases, mandatory disclaimers, and asset rules. The engine may recombine approved claims and may never author a new one. Owner: product marketing plus legal. DoD: guardrail file is machine readable and enforced pre-launch.
- 02
Define stopping rules before launch
Tool: Optimizely
Minimum sample, maximum spend, and the metric that decides. Without pre-registered rules the engine will chase noise and you will not notice for a quarter. Pitfall: optimizing to click through while pipeline falls. DoD: stopping rules configured per experiment class.
- 03
Bound the blast radius
Tool: Google Ads
Cap the share of spend and traffic the engine controls, for example twenty percent. The rest runs on human approved assets as a control. Owner: demand gen lead. DoD: spend cap enforced in platform settings.
- 04
Publish a weekly results ledger
Tool: Manual
Every experiment launched, its result, and its disposition, including the losers. A ledger that only shows wins is marketing fiction. Owner: marketing ops. DoD: ledger published weekly with all outcomes.
Tools in this playbook
- Manual
- Optimizely
- Google Ads
Next playbooks
Unfamiliar terms are defined in the AI and Revenue Dictionary. Related frameworks live in the framework library.