A decision workflow for conversion optimization.
OptiWhiz helps teams find material conversion friction, understand the evidence, and decide what to test next—without asking AI to make up the answer.
What the product analyzes
OptiWhiz organizes supported website and conversion data around journeys, funnels, pages, and segments. It is designed to help teams move beyond a single aggregate conversion rate and inspect where behavior meaningfully differs.
The anatomy of an opportunity
- Issue and affected journey: what changed or underperformed, and where.
- Evidence: observed metrics, comparisons, and relevant segments.
- Decision signals: confidence, estimated impact, effort, and visible limitations.
- Next action: a grounded recommendation and possible causes to validate.
- Experiment idea: a hypothesis, proposed change, audience, and success metric.
Opportunity lifecycle
Teams can review, save, dismiss, or provide feedback on opportunities as they build an optimization backlog. The goal is a traceable path from observation to decision—not an opaque list of AI suggestions.
Opportunity anatomy
Keep the proof with the proposal.
The interface is built to carry the original observation and its caveats into the conversation about what to test next.
Representative example only. Estimated impact is a planning signal, not a promised result.
Opportunity review
Mobile checkout completion
Affected journey
Mobile completion trails desktop in this representative comparison.
Evidence
Payment-step completion is lower on mobile
Compare step completion, device mix, and sample size before deciding on a change.
Recommended next action
Review mobile payment friction and form error patterns; validate the likely cause before testing.
See whether OptiWhiz fits your conversion workflow.
Early access is guided and intended for teams ready to work from real conversion evidence.
Request early access