Choose one measurement period
Use inputs from the same weekly, monthly, quarterly, or customer-cohort period so the comparison remains meaningful.
Model how a realistic visitor-to-lead improvement could affect qualified leads, customers, revenue, gross value, and the annual opportunity.
Visits → qualified leads → customers → gross opportunity
Your entries stay in this browser. Results update immediately and are planning estimates—not forecasts or guarantees.
Estimated additional gross value if the target conversion scenario is reached.
This is an opportunity model. Traffic quality, attribution, sales capacity, seasonality, and test confidence affect realized results.
Consistent periods and clearly labeled assumptions make the output easier to compare, explain, and improve.
Use inputs from the same weekly, monthly, quarterly, or customer-cohort period so the comparison remains meaningful.
Start with actual business data where available, then use clearly labeled assumptions for values you do not yet know.
Run conservative, expected, and optimistic cases. Replace estimates with measured sales, margin, customer, and campaign data over time.
Conversion work cannot rescue irrelevant traffic, and more traffic cannot rescue a confusing offer or broken customer journey.
Connect forms, calls, bookings, purchases, and CRM outcomes so the rate reflects real business value.
Use controlled changes where possible and judge the result over a sufficient sample rather than reacting to short-term noise.
Additional leads = monthly visits × (target conversion rate − current conversion rate). Additional customers = additional leads × close rate. Additional gross value = customers × average customer revenue × gross margin.
Use a meaningful qualified action such as a sales enquiry, booking, purchase, application, or verified call. Avoid combining weak micro-events with genuine leads.
Start with the current rate and model a modest improvement that could plausibly result from clearer messaging, stronger proof, better speed, lower friction, or more relevant traffic. It is a scenario, not a benchmark.
Not automatically. Attribution overlap, traffic quality, sales follow-up, repeat customers, offline influence, seasonality, and capacity can change the realized contribution.
It can frame the size of the opportunity, but the investment decision should also consider brand risk, maintenance cost, accessibility, search performance, sales efficiency, and the strength of evidence behind the inputs.
Use the complete collection for marketing, unit economics, website conversion, ROI, and break-even decisions.
Bring the assumptions, current customer journey, and business outcome. We’ll identify what should be measured, improved, or tested first.