Free tool
Forecast gross and net sales volume using core commerce levers: monthly unique visitors, conversion rate, and average order value.
Total Orders = Monthly Visitors × (Conversion Rate ÷ 100). Total Revenue = Total Orders × Average Order Value.
A DTC brand attracts 80,000 monthly sessions with a 2.5% store conversion rate and a $72 Average Order Value. Total monthly orders = 80,000 × 0.025 = 2,000 orders. Monthly Revenue = 2,000 × $72 = $144,000.
All online store revenue is governed by the mathematical relationship between three variables: Traffic × Conversion Rate × Average Order Value (AOV). If you wish to double top-line store revenue, you do not necessarily need to double expensive acquisition traffic. Achieving a 26% lift across all three variables concurrently produces a 100% total revenue increase (1.26 × 1.26 × 1.26 ≈ 2.00).
Accurate revenue projection models prevent severe supply chain cash bottlenecks. Overestimating revenue causes capital to become trapped in unsold warehouse inventory; underestimating revenue leads to catastrophic stockouts during high-demand promotional windows, damaging organic search rankings and ad algorithm momentum.
Use this calculator to conduct sensitivity modeling before signing agency contracts or approving ad budgets. Model how a 0.5% boost in mobile checkout conversion rate compares against an $8 increase in AOV from post-purchase upsells, allowing your team to allocate engineering and marketing resources to the highest-ROI initiatives.
Increasing Average Order Value (AOV) through pre-purchase bundles, tiered volume discounts, and post-purchase one-click upsells is typically the fastest lever because it captures additional gross revenue from visitors who are already converting.
Mobile devices typically account for 70% to 80% of e-commerce traffic but convert at roughly half the rate of desktop visitors. Segmenting your revenue models by device type prevents overly optimistic revenue forecasts.
Gross revenue represents total transaction sales value before deductions. Net revenue subtracts product returns, refunds, customer discounts, and promotional credits. Financial planning should always be grounded in net revenue.
High-growth brands review top-line forecasts weekly against actual ad spend and inventory levels, with formal quarterly re-forecasts to adjust for seasonal holiday demand, supplier lead times, and macro consumer trends.
Calculate e-commerce storefront conversion rates, micro-conversion funnel milestones, and required traffic for target order volumes.
Calculate Average Order Value (AOV), evaluate catalog basket size, and model the revenue impact of bundling and upsell strategies.
Calculate gross profit, net profit margin, and contribution percentage from revenue and cost to evaluate catalog pricing and channel viability.
Define the store metrics that matter, run a simple reporting cadence, stay humble about attribution, and connect numbers to decisions — not to dashboards for their own sake.
A useful store dashboard is small: conversion, AOV, margin, CAC, contribution and fulfillment health. Vanity traffic and session counts do not run the P&L.
Conversion rate improves when you diagnose speed, trust, shipping, checkout and merchandising first. Redesign without measurement usually wastes the rebuild.
AOV is revenue divided by orders. Bundles and free-shipping thresholds can raise it, but discounts that crush conversion or contribution are not a win.
LTV estimates future contribution from a customer. Simple averages hide cohorts. Use a contribution model and treat precision as a range, not a forecast.
