- Set the reporting basis. Use one consistent campaign or reporting period.
- Enter the source figures. Copy the requested counts from the same analytics view.
- Check units. Enter percentages as whole percentage values when a percent field appears.
- Review the live result. Compare the headline metric with both supporting figures.
- Reset for another scenario. Use Reset to restore the sample values.
Facebook Conversion Calculator
Calculate the conversion rate from Facebook-driven visits or clicks and the average cost of each conversion. It combines traffic, completed actions, and spend in one compact campaign view.
Choose a conversion action before entering data—such as a purchase, signup, or lead—and keep that definition consistent across every input and comparison.
Facebook inputs
Result
—
Conversion rate
Cost per conversion—
Non-converting visits—
Formula
Conversion rate (%) = Conversions ÷ Facebook clicks or visits × 100; Cost per conversion = Campaign spend ÷ Conversions
All counts must cover the same period. The calculator retains full precision internally and rounds only displayed results.
What the result means
Use the headline metric with the supporting figures to understand both scale and efficiency.
Results depend on the definitions, date range, and attribution settings used in the source data.
Given and calculation
A campaign produces 420 conversions from 12,000 visits on $8,400 spend. Conversion rate is 420 ÷ 12,000 × 100 = 3.5%, and cost per conversion is $8,400 ÷ 420 = $20.
Result
The displayed values provide a planning or reporting estimate based on the inputs supplied.
What reporting period should I use?
Any period works if every input covers exactly the same dates. Monthly periods are often convenient for trend comparisons.
Can I compare separate campaigns?
Yes. Calculate each campaign separately so different audiences, budgets, and attribution windows are not mixed.
Why can this differ from the platform dashboard?
Dashboards may apply rounding, privacy thresholds, attribution settings, or delayed processing. Match definitions and export times before investigating a gap.
How should zero values be handled?
A genuine zero can be entered for optional counts or costs. A denominator required by the formula must be above zero.
Does the result predict future performance?
Only projection-style outputs extend an observed rate, and that assumption may not persist. Treat the result as a scenario, not a guarantee.