Features for AI-assisted experimentation operations
ConversionLab gives teams the operating layer around A/B tools: research, ideas, prioritization, execution context, results, and an Agent that can work across the history.
Everything needed to run a compounding experimentation program
From insight capture to post-test learning, every stage is connected and auditable.
Research and survey intake
Capture insights, run survey workflows, label evidence, and keep the source context attached before ideas are created.
Ideas and priority models
Turn evidence into testable ideas and score them with configurable models so backlog debates use shared criteria.
Experiment execution context
Manage hypotheses, variations, lifecycle states, audiences, pages, metrics, ownership, comments, and approvals.
ConversionLab Agent and daily briefing
Review the daily brief, spot the next actions, and ask the Agent questions across team context while respecting AI Availability controls.
Source Import and integrations
Bring Airtable histories into ConversionLab and connect A/B testing vendors without making them own your memory.
Results, analytics, and governance
Review variant outcomes, execution signals, notifications, activity history, definitions, and team access in one place.
How teams apply ConversionLab in day-to-day work
These are the common adoption paths for CRO, growth, and product experimentation leaders.
Ask better questions of your experimentation history
Use the Agent and daily brief to find stalled experiments, repeated ideas, missing owners, and relevant prior learnings.


Migrate scattered historical work into one model
Map existing Airtable records into insights, ideas, experiments, metrics, pages, and audiences before teams start planning new work.


Turn test execution into reusable learning
Keep hypotheses, variants, SRM checks, outcomes, decisions, and post-test learning available after the execution tool changes.


Map your current experimentation process to the product
We’ll show where your current stack creates context loss and how ConversionLab closes the loop from evidence to outcome.