yfx(calc)

AI MarTech ROI Calculator

// compute(roi) → Customer Data Platform

Industry:
$
Gross Margin60%
SaaS: 70-85% | Retail: 20-50% | Services: 50-70%
$ /yr
Data Sources12
Destinations / Source16
Maintenance Hrs / Integration / Mo3
Efficiency Improvement80%
Typical: 50-70% for mature platforms
Integrations: 192 | Hours freed: 4,608/yr
$ /yr
$
Auto-saved
// output.economics(3yr)
NPV
$1.2M
Net Present Value
ROI
450%
Cumulative Return
Payback
<6 mo
Break Even
Delay Cost
$85K
Per Quarter
For every $1 invested, you get $5.50 back over the contract term.
Σ Benefits $1,500,000
Σ Costs −$175,000
Δ Net $1,325,000
MetricY1Y2Y3Total
Benefits$375K$500K$515K$1.4M
Costs−$75K−$50K−$50K−$175K
Net$300K$450K$465K$1.2M
// benefits.breakdown(year_1)
// projection.timeline(3yr)
Benefits Costs
// sensitivity.analysis()
Conservative
$540K
50% of estimates
Moderate
$1.08M
Base case
Aggressive
$1.35M
125% of estimates
// executive.summary()
Loading summary...
// disclaimer
Estimates based on industry benchmarks. Actual results vary.

How to Calculate MarTech ROI

1. Establish the Cost Basis

Total cost of ownership includes license fees, implementation costs (one-time), and ongoing maintenance labor. Don't forget hidden costs like training and integration support.

2. Quantify Efficiency Gains

Calculate hours saved per employee × hourly rate (fully loaded). Focus on repetitive tasks like data entry, reporting, and content versioning that AI tools automate.

3. Project Revenue Lift

Estimate improvements in conversion rates, win rates, or retention. Apply a "realization factor" (e.g., 50% in Year 1) to account for the ramp-up period.