Calculator Methodology & Formulas
Last updated: May 2026 — covering all 6 calculators
Core Calculation Formulas
Our calculator uses industry-standard ROI formulas adapted for email marketing. Here's exactly how each metric is calculated.
Email Revenue
Email Revenue = Monthly Volume × Deliverability Rate × Open Rate × CTR × Conversion Rate × AOV
This formula models the full email marketing funnel: how many emails are sent, how many reach inboxes, how many are opened, how many generate clicks, how many convert, and the value of each conversion. Each step is a multiplier, which means small improvements at the top of the funnel compound significantly.
Total Cost
Total Cost = ESP Cost + (Labor Hours × Hourly Wage) + Design/Copy Costs + Additional Fees
We take a comprehensive view of email marketing costs, including both direct (ESP subscription) and indirect (labor, tools) expenses. Additional fees in Advanced Mode include list cleaning, email verification, and dedicated IP costs.
Net Profit
Net Profit = Email Revenue - Total Cost
ROI Percentage
ROI (%) = (Net Profit / Total Cost) × 100
This is the standard ROI formula used across all business domains. A positive ROI means you're earning more than you spend. The average email marketing ROI is 3,600% (DMA), meaning $36 earned for every $1 spent.
ESP Savings
Monthly Savings = Current Total Cost - Alternative Total Cost
Since revenue is the same regardless of which ESP you use (assuming equal deliverability), the savings come entirely from the difference in ESP subscription costs and any feature-related efficiencies.
Deliverability Uplift
Revenue Uplift = Revenue at (Current Deliverability + 5%) - Revenue at Current Deliverability
This shows the potential revenue gain from improving deliverability by 5 percentage points, which is achievable through better list hygiene, authentication setup, and sender reputation management.
Industry Benchmarks
Our default values and industry presets are based on the following sources:
| Metric | Industry Average | Source |
|---|---|---|
| Deliverability Rate | 83% | Campaign Monitor 2024 |
| Open Rate (All) | 22% | Mailchimp Benchmarks 2024 |
| Open Rate (E-commerce) | 18.2% | Mailchimp Benchmarks 2024 |
| Open Rate (SaaS) | 24.5% | HubSpot 2024 |
| CTR (All) | 2.5% | Mailchimp Benchmarks 2024 |
| Conversion Rate | 1.5% | Campaign Monitor 2024 |
| Average ROI | 3,600% | DMA Response Rate Report |
For a complete list, see our Benchmarks & Data Sources page.
Newsletter Sponsorship Revenue Calculator
Our Sponsorship Revenue Calculator estimates potential earnings from newsletter sponsorships using the CPM (cost per mille) pricing model.
Revenue per Send
Revenue per Send = (Subscribers / 1,000) × Base CPM × Placement Multiplier
Monthly & Annual Revenue
Monthly Revenue = Revenue per Send × Sends per Month
Annual Revenue = Monthly Revenue × 12
CPM by Niche (Default Values)
| Niche | Base CPM | Source |
|---|---|---|
| Finance / Investing | $75 | Swapstack, Paved 2025 |
| B2B SaaS / Tech | $37 | Swapstack, Paved 2025 |
| Marketing | $30 | SparkLoop 2025 |
| Health & Fitness | $22 | Paved 2025 |
| General / Lifestyle | $10 | Industry average |
Placement Multipliers
| Placement | Multiplier | Effective CPM |
|---|---|---|
| Primary / In-feed | 100% | Full CPM |
| Secondary | 50% | Half CPM |
| Classified / Banner | 30% | 30% of CPM |
See our benchmarks page for detailed CPM ranges and sources.
Cold Email Campaign Cost Simulator
The Cold Email Simulator models the cost and return of a cold email outreach campaign from prospects through to closed revenue.
Campaign Duration
Duration (business days) = Prospects / Daily Send Volume
Duration (months) = Duration (days) / 22 (working days per month)
Total Campaign Cost
Total Cost = List Cost + (Tool Cost × Months)
Tool costs are multiplied by the number of months the campaign runs, since email finder/verifier tools charge monthly subscription fees.
Conversion Funnel
Positive Replies = Prospects × (Reply Rate / 100)
Customers = Positive Replies × (Close Rate / 100)
Pipeline Revenue = Customers × Average Deal Value
Cost per Reply = Total Cost / Positive Replies
CAC = Total Cost / Customers
Industry average reply rates range from 1-5% depending on offer quality and targeting. The meeting-to-customer (close) rate averages 15-30% depending on sales process effectiveness.
List Hygiene & Decay Forecaster
The List Hygiene Forecaster projects the revenue impact of a dirty email list and the ROI of cleaning it.
Current List Health
Unhealthy Subscribers = List Size × (Bounce Rate + Spam Rate)
Monthly Revenue Lost = Unhealthy Subscribers × Revenue per Sub
Annual Revenue Lost = Monthly Revenue Lost × 12
12-Month Projection (Without Cleaning)
Projected Size = List Size × (1 - 0.225/12)^12 × (1 + Monthly Growth)^12
The model applies a 22.5% annual natural decay rate (HubSpot) compounded monthly, plus the user's monthly growth rate.
12-Month Projection (After Cleaning)
Clean Size = Healthy Subscribers × (1 - 0.225/12)^12 × (1 + Monthly Growth)^12
The same decay and growth rates apply, but the initial list is reduced by removing all unhealthy subscribers first.
ROI of Cleaning
ROI (%) = ((Annual Revenue Lost - Cleaning Cost) / Cleaning Cost) × 100
This assumes that cleaning the list recovers the full annual revenue currently lost to bounces and spam complaints. In practice, some revenue loss persists, but cleaner lists also improve deliverability to remaining subscribers.
E-commerce Email Flow Revenue Estimator
The E-commerce Flow Estimator projects additional revenue from automated email flows. Each flow targets a specific segment of your audience with a known recovery or lift rate.
Core Calculations
Monthly Orders = Monthly Revenue / Average Order Value
Captured Emails = Monthly Orders × Email Capture Rate
Per-Flow Revenue
Flow Revenue = Monthly Orders × Addressable % × Capture Rate × Recovery Rate × AOV
Flow Benchmarks
| Flow | Addressable Audience | Recovery / Lift Rate | Source |
|---|---|---|---|
| Abandoned Cart | 75% of shoppers | 15% recovery | SaleCycle 2025 |
| Welcome Series | 20% of new subscribers | 27% conversion lift | Klaviyo 2025 |
| Post-Purchase | 25% of customers | 20% repeat lift | Omnisend 2025 |
| Browse Abandonment | 50% of visitors | 7% recovery | SaleCycle 2025 |
| Win-Back | 15% of lapsed customers | 5% recovery | Klaviyo 2025 |
Total additional revenue is the sum of all active flows. Users can toggle flows on/off to model different scenarios.
Email Marketing Team Cost Calculator
The Team Cost Calculator compares the fully-loaded monthly cost of three hiring models based on user-defined weekly hours and rates.
Total Hours
Total Weekly Hours = Strategy + Copywriting + Design + HTML/CSS + Analytics
Monthly Hours = Total Weekly Hours × 4.33
In-House Cost
Annual Salary = Total Weekly Hours × Hourly Rate × 52
Monthly Salary = Annual Salary / 12
Monthly Overhead = Monthly Salary × 0.25 (25% for benefits, taxes, equipment)
Total Monthly Cost = Monthly Salary + Monthly Overhead + Tool Costs
The 25% overhead rate is standard for estimating fully-loaded employee costs (benefits, payroll taxes, equipment, training).
Freelance Cost
Total Monthly Cost = Monthly Hours × Freelance Hourly Rate + Tool Costs
Agency Cost
Total Monthly Cost = Monthly Retainer + Tool Costs
The calculator automatically highlights the cheapest option and shows the monthly savings compared to the second-best option.
Data Sources & Updates
All benchmarks used across our calculators are documented on our Benchmarks page with source attribution. Data is reviewed and updated annually. If you have questions about a specific data point, please contact us.
Limitations & Notes
- Estimates only: Calculator results are estimates based on your inputs and industry averages. Actual results vary by business, industry, and campaign quality.
- Not financial advice: This tool is for educational and planning purposes. Consult a financial professional for investment decisions.
- Deliverability assumption: We assume equal deliverability between ESPs in the comparison. In practice, deliverability varies by provider and setup.
- Revenue attribution: The formula attributes all email-driven revenue to the email channel. Multi-touch attribution may give different results.
- Industry data lag: Benchmarks are updated annually. Recent algorithm changes (like Apple MPP) may affect open rate data accuracy.
ESP Pricing Sources
ESP pricing is based on publicly available pricing pages for approximately 50,000 subscribers. Actual pricing varies based on subscriber count, features, and negotiated discounts. Always check the ESP's website for current pricing.