Calculate Make.com ROI before signing anything. This formula works for any HR automation workflow and takes 15 minutes to complete.

Related: Make.com HR Integrations — Complete 2026 Guide

The Make.com ROI Formula

ROI = (Net Annual Value ÷ Total Cost × 100)

Where:

• Net Annual Value = Time savings value + Error cost reduction + Compliance risk reduction
• Total Cost = Make.com licensing + Implementation cost + Annual maintenance estimate

Step-by-Step Calculation

Step 1: Identify the workflows to automate

List every manual HR workflow in scope. For each, record: current time per execution, executions per week, and who performs it (role and hourly cost).

Step 2: Calculate time savings value

For each workflow: (Current time − Post-automation time) × Executions/week × 52 × Hourly cost. Sum across all workflows.

Step 3: Calculate error cost reduction

Current error rate × Executions/year × Cost per error. Most HR automation reduces error rates 75-95%. Use conservative 75%.

Step 4: Calculate total cost

Make.com annual license + (Implementation hours × hourly rate) + Annual maintenance estimate (10% of implementation cost).

Step 5: Apply a 90-day ramp discount

Reduce Year 1 value by 25% to account for adoption ramp. This gives you a conservative, defensible number.

Example: ATS-to-HRIS Sync

• Current: 45 min/hire × 100 hires/year × $55/hr = $4,125 annual cost
• Post-automation: 2 min review/hire = $183
• Annual savings: $3,942
• Error reduction: 4% error rate × 100 hires × $500 correction cost × 80% reduction = $1,600
• Total value: $5,542
• Total cost: $348 (Make.com) + $1,500 (implementation) = $1,848
• ROI: 200%

FAQ

How do you calculate Make.com ROI?

ROI = Net annual value (time savings + error reduction) divided by total cost (licensing + implementation + maintenance) × 100. Run over 24 months.

What inputs do I need?

Hours recovered per workflow, hourly fully-loaded cost, error rate and cost per error, Make.com licensing, and implementation time.

What is realistic Make.com ROI for HR teams?

150-300% in Year 1. Year 2 returns are typically higher as error costs compound and teams operate at full efficiency.