--- title: "Landing Page Conversion Experiment Planner" url: "https://yanivgoldenberg.com/tools/landing-page-conversion-audit/" language: en description: "Landing page conversion audit: shape what you observed into testable hypotheses, rank the evidence, define the conversion and check your traffic." --- # Landing Page Conversion Experiment Planner Growth decision tools Landing Page Conversion Experiment Planner Start from what you observed on your landing page and shape it into hypotheses you can test. Rank the evidence, pin down the conversion, and check if you have the traffic to run an experiment. [Choose another tool](https://yanivgoldenberg.com/free-tools/) A page critique becomes useful when it leads to a measurable test An attractive layout does not prove a conversion improvement. Begin with visitor intent, the conversion event and a specific observation: an unanswered objection, confusing next step, inaccessible control or a form problem observed under named conditions. Keep aesthetic preference separate from measured friction. Method and assumptions Describe the observation and its source, propose a change, and state the expected behavioral mechanism. Rank hypotheses using explicit impact, confidence and effort assumptions. Estimate test feasibility from baseline conversion, minimum detectable relative change and available traffic. A sample-size estimate is a planning aid whose assumptions require review. An illustrative example If visitors click a demo CTA but abandon the form, a shorter form is one hypothesis. Competing explanations include poor traffic fit, an unclear offer, a technical error or a scheduling problem. Capture evidence that distinguishes those possibilities before predicting a lift or changing multiple elements at once. Turn the result into a useful next step Choose one primary conversion and a guardrail, document exclusions and run conditions, and define the decision rule before collecting results. If traffic is too limited, use targeted research or a carefully reviewed rollout rather than pretending an underpowered test is conclusive. I personally plan and implement CRO work around the funnel. What the result can establish This tool does not scan a page, generate screenshot evidence or predict a measured conversion lift. User-supplied observations remain unverified. Its experiment arithmetic does not replace a statistical design review, account for every sequential-testing method or establish causality before an actual test. Questions before you use the result Will this score how good my design looks? No. It organizes evidence and experiment hypotheses around a defined visitor decision and conversion event. Does the tool predict conversion lift? No. Minimum detectable effect and impact inputs are planning assumptions. A real experiment or other credible evidence is needed to measure a change. What if my traffic is too low for an A/B test? Use the feasibility estimate to reassess the method. Buyer research, usability observation or a reviewed rollout may be more useful than an underpowered test. Does it capture screenshots from a URL? No. Supply your own observations and evidence references. The planner does not invent rendered-page findings. Do you collect my email address first, before I see the experiment plan? No. The experiment planner works with no email gate in front of it. An engagement conversation with me is optional. Who delivers the consulting work? I do. I personally lead and deliver the agreed experiment work for your landing page. Responsibilities and access approvals stay with your business, and scope is agreed with me directly. Connect the decision to action [Conversion rate optimization](https://yanivgoldenberg.com/cro/) [Explore all decision tools](https://yanivgoldenberg.com/free-tools/) [Discuss the scope with me](https://yanivgoldenberg.com/contact/) Work with me on the next decision I personally review the business problem, agree the scope with you and deliver the work. Bring the questions the tool helped you identify. [Talk to me](https://yanivgoldenberg.com/contact/)