1. Connect conversion data
Bring the signals your team already uses into a provider-independent decision workflow.
Evidence-first AI conversion optimization
Know what to fix next to improve conversions.
OptiWhiz analyzes customer journeys and conversion behavior, surfaces evidence-backed opportunities, and turns the strongest ones into structured experiment ideas—without pretending correlation is certainty.
A representative opportunity
Evidence before the recommendation.
See the journey, comparison, confidence, limitations, and next action together—so a finding can become a well-scoped experiment instead of another dashboard tab.
Representative example only. Estimated impact is a planning signal, not a promised result.
Opportunity review
Mobile checkout completion
Affected journey
Cart100%
Details78%
Payment51%
Purchase43%
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.
Experiment idea: simplify payment-step completion
What is OptiWhiz?
OptiWhiz is an AI-powered conversion rate optimization decision platform. It helps ecommerce, SaaS, and lead-generation teams identify, understand, and prioritize website changes that may improve conversion.
What goes in
Website and conversion data, organized around journeys, funnels, pages, and segments.
What comes out
Prioritized opportunities with supporting observations, confidence, limitations, a recommended next action, and a structured experiment hypothesis.
From customer behavior to a clearer next move
2. Find meaningful friction
Review journeys, funnels, pages, and segments for material drop-offs and changes.
3. Inspect the evidence
See the comparison, context, confidence, and limitations behind each opportunity.
4. Prioritize deliberately
Compare estimated impact, confidence, uncertainty, and effort before committing a sprint.
5. Create an experiment idea
Keep the finding, hypothesis, proposed change, and success metric together.
Not another analytics dashboard. Not an experiment deployment tool.
| Typical analytics workflow | OptiWhiz workflow |
|---|---|
| Shows what happened | Surfaces what may deserve action |
| Requires manual investigation across reports | Connects a finding with its supporting evidence |
| Leaves prioritization to a separate backlog | Compares impact, confidence, and uncertainty |
| Separates analysis from experiment planning | Preserves context through a test-ready hypothesis |
OptiWhiz works alongside behavioral and conversion data sources. It does not replace analytics platforms, and the current MVP does not deploy A/B tests or change your website automatically.
Built for the conversion questions teams keep postponing
Ecommerce checkout friction
Which checkout step and device segment deserves investigation first?
SaaS signup journeys
Where do high-intent users stop moving toward activation?
Lead-generation forms
Is completion falling at a meaningful step, and what should we validate next?
Crowded CRO backlogs
Which ideas have enough evidence to justify a test before the next sprint?
How AI is used responsibly
OptiWhiz uses evidence assembled from observed behavior before it generates an explanation or recommendation. Likely causes are framed as hypotheses, not facts. Confidence and limitations stay visible, and the product is designed not to invent behavioral data or business impact.
Frequently asked questions
Is OptiWhiz an analytics platform?
No. It is a decision layer that helps teams move from conversion evidence to a prioritized action and experiment idea.
Does OptiWhiz run A/B tests?
No. The MVP helps teams decide what to test; it does not automatically deploy experiments.
Does OptiWhiz depend on GA4?
No. Its data model is designed to be provider-independent. Supported connection workflows are confirmed during early-access onboarding.
Who is early access for?
Focused teams with meaningful website traffic, a real conversion question, and willingness to share product feedback during guided onboarding.
Build a CRO roadmap your team can explain.
Request early access to explore an evidence-first workflow with your own conversion questions.
Request early access