1. Scope
Calculates landing-page revenue, ROI, and cost-per-conversion from traffic, conversion rate, and average order value. Deterministic — not a variance/CI model.
2. Inputs and outputs
Inputs
- monthlyTraffic number
- conversionRate percent
- averageOrderValue number (currency)
- trafficAcquisitionCost number (currency) default: 0
Outputs
- conversions
traffic × conversionRate.
- revenue
conversions × averageOrderValue.
- roi
(revenue − trafficCost) / trafficCost.
- costPerConversion
trafficCost / conversions.
Engine source: src/lib/landing-page-conversion-calculator/engine.ts
3. Formula / scoring logic
conversions = traffic * conversion_rate
revenue = conversions * aov
roi = (revenue - cost) / cost
cost_per_conversion = cost / conversions 4. Assumptions
- Conversion rate is stable across traffic sources.
- AOV is stable across conversions.
- Traffic cost captures fully-loaded paid-acquisition spend.
5. Data sources
This tool relies on user inputs and standard arithmetic; no external benchmark data is bundled. When a question depends on an industry reference (for example, typical churn rates or hourly-wage medians), the linked adjacent tools cite their primary sources on their own methodology pages.
6. Known limitations
- Vendor-reported conversion-rate benchmarks (WordStream, VWO, Unbounce) are self-selected samples from active A/B testers and overestimate medians. We do not cite them.
- Does not model multi-touch attribution or assisted conversions.
7. Reproducibility
Input
traffic = 10,000, cvr = 2%, aov = $75, trafficCost = $2,000.
Expected output
conversions = 200, revenue = $15,000, roi = 650%, cost_per_conversion = $10.
8. Change log
- 2026-04-24 methodology page first published.