AI ROI for Marketing Calculator
Model marketing AI ROI from lead volume, conversion lift, monetization per conversion, and program cost.
This model is for demand-generation and funnel-performance use cases where conversion lift drives value.
It helps marketing teams stress-test whether expected funnel gains justify recurring program spend and setup cost. The logic starts from baseline conversion behavior and applies lift conservatively.
Added leads / month
23.04
Monthly revenue uplift
$9,676.80
Annual net benefit
-$21,878.40
Year-1 ROI
-15.85%
How This Model Works
Uses lead volume and conversion-lift assumptions to estimate incremental converted volume.
Values incremental conversions using monetization per conversion.
Subtracts recurring and setup program costs to estimate annual net benefit and ROI.
Field Definitions
Use these definitions to set assumptions consistently before comparing results across teams.
Leads / month
Average monthly lead volume in the funnel stage being modeled.
Current conversion rate
Baseline conversion rate before AI-driven optimization.
Conversion lift
Relative conversion improvement expected from the AI program.
Revenue per converted lead
Average monetized value per incremental conversion.
AI tooling + media cost / month
Monthly recurring spend for tools and media tied to the program.
One-time setup cost
Up-front implementation and campaign setup investment.
Frequently Asked Questions
+Why is this separate from generic ROI?
Marketing value is usually modeled through funnel mechanics rather than labor-only assumptions.
+What should conversion lift be based on?
Use conservative ranges from campaign baselines, tests, or pilot cohorts where possible.
+Is this enough for channel attribution?
No. It is a planning model; attribution should still be validated in analytics systems.
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