Google Ads · Experiment

Google Ads experiment AI agent

Ship disciplined A/B tests instead of “let’s try this creative.” The agent owns hypotheses, sample size, and ship/kill calls.

Experiments with stop rules, not vibes

Most paid teams run too many half-baked tests and never write down why a variant won. An experiment agent keeps a test backlog, starts only one primary test per campaign cluster, and closes with a decision log.

You get a living playbook of what improved CTR, CVR, or CPA — reusable across accounts and quarters.

Observe → decide → act

What this agent watches, how it decides, and what it executes inside your guardrails.

Watches
  • Active experiment traffic split and significance thresholds
  • RSA asset performance and pinning conflicts
  • Landing page CVR by campaign for page tests
  • Holdout vs treatment spend and conversion lag
Decides
  • Which hypothesis is highest expected learning per dollar
  • When to stop early for harm vs wait for power
  • Whether to ship, iterate, or archive a creative direction
Acts
  • Creates experiment briefs with success metrics and kill criteria
  • Configures campaign drafts or experiment arms for review
  • Writes a one-page conclusion into the team knowledge base

Example actions

  • Launch an RSA headline angle test (outcome vs feature) with 50/50 split for 14 days

  • Kill a landing-page variant after CVR drops 25% with ≥200 sessions

  • Graduate a winning bid strategy from experiment to primary campaign

Integrations

  • Google Ads
  • GA4
  • Notion / Notion-like wiki
  • Slack

FAQ