Visitors in period
Traffic and conversion · visitors
Allowed range: 0 to 1000000
Turn traffic and three conversion assumptions into order revenue and contribution forecasts.
Open this toolTraffic becomes orders only under a conversion assumption. Several scenarios make that uncertainty easier to see.
Enter low, base and high conversion rates in order, then compare revenue and contribution with the same order costs.
Traffic and conversion · visitors
Allowed range: 0 to 1000000
Traffic and conversion · %
Allowed range: 0 to 100
Traffic and conversion · %
Allowed range: 0 to 100
Traffic and conversion · %
Allowed range: 0 to 100
Order and period economics · PKR
Allowed range: 0 to 1000000000
Order and period economics · PKR
Allowed range: 0 to 1000000000
Order and period economics · %
Allowed range: 0 to 100
Order and period economics · PKR
Allowed range: 0 to 1000000000
Order and period economics · PKR
Allowed range: 0 to 1000000000
The three cases show how a change in conversion affects the plan without presenting one assumed rate as a prediction.
Low ≤ base ≤ high must hold. Expected orders can be fractional. Do not count the same ads in variable cost and period spend. Assumed conversion is not a prediction of demand.
Low ≤ base ≤ high must hold. Expected orders can be fractional. Do not count the same ads in variable cost and period spend. Assumed conversion is not a prediction of demand.
Yes. They describe an average scenario. Actual completed order counts will be whole numbers.
Check Visitors in period, Low conversion, Base conversion and High conversion. Use the exact units shown beside the controls and replace any example values with your own inputs.
Source page last modified: 2026-10-01T18:05:21+00:00. This profile describes the tool; use its page to run it.
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