Marketing & Advertising
Email Funnel Calculator
Calculate expected opens, clicks, qualified leads, customers, attributed revenue, and revenue per delivered email. The custom funnel keeps each stage, its step conversion, and the cumulative survival rate visible so a weak link can be distinguished from a small starting audience.
Estimated attributed revenue-
Unique opens-
Unique clicks-
Qualified leads-
Estimated customers-
Revenue per delivered email-
Decision view
Email-to-customer conversion funnel
Email-to-customer conversion funnelStage widths, step conversion, and cumulative survival expose where delivered-message volume is lost.
Exact scenario comparisonCustomer conversion from leads (%) changes while all other entered assumptions remain constant.
| Customer conversion from leads (%) | Estimated attributed revenue | Unique opens | Unique clicks | Qualified leads | Estimated customers | Revenue per delivered email |
|---|
How to use Email Funnel Calculator
- Enter delivered—not merely sent—email volume and use rates measured on compatible denominators.
- Compare the stage widths and step conversion labels to locate the largest practical loss.
- Validate attributed orders, refunds, repeat purchases, and holdout lift before treating modeled revenue as incremental.
Calculator guide
Understanding Email Funnel Calculator
An email funnel is a chain of conditional conversion rates. Opens are calculated from delivered messages, clicks from opens, leads from clicks, and customers from leads; multiplying every rate directly by deliveries gives the same endpoint but hides where volume is lost.
Calculation method
How the calculation works
Move delivered emails through entered open, click, lead, and customer conversion rates, then multiply customers by average order value. Apply each entered rate to the immediately preceding stage, multiply customers by average order value, and divide modeled revenue by delivered email count.
Funnel diagnosis
Read the first weak link, not only the final revenue
The same customer total can arise from very different operational problems.
Worked situations
Practical examples
- 100,000 deliveries at a 38% open rate produce 38,000 modeled opens.
- A 12% click rate from those opens produces 4,560 clicks, not 12,000 clicks.
- Carrying 18% of clicks to leads and 24% of leads to customers produces about 197 customers before average order value is applied.
Better inputs
Useful tips
- Keep unique opens and unique clicks aligned to the same campaign window.
- Segment by audience, offer, device, and acquisition source before comparing funnels.
- Use delivered-email revenue as a compact campaign-efficiency measure, then reconcile it to actual orders.
Before relying on the result
Limitations and common mistakes
- Privacy protection can inflate opens, while delayed or cross-device behavior can weaken stage attribution.
- The model excludes unsubscribes, list fatigue, refunds, repeat orders, assisted conversions, and statistical uncertainty.
- Entered rates are deterministic planning inputs rather than a forecast distribution.
Reference
Key terms
- Delivered
- Messages accepted by receiving systems after bounces are removed.
- Step conversion
- Share advancing from one funnel stage to the next.
- Cumulative survival
- Share of delivered messages remaining at a later stage.
- Revenue per delivered email
- Modeled attributed revenue divided by delivered volume.
Important note
Calculated from the entered campaign values. Validate attribution, incrementality, lag, margin, and observed source data before making decisions.
Frequently asked questions
Should click rate be based on delivered messages or opens?
This page explicitly uses clicks as a percentage of opens; enter a click-to-open rate.
Why can opens be unreliable?
Image prefetching and privacy features can record an open without human reading.
Is attributed revenue the same as incremental revenue?
No. Incrementality normally requires a credible control or experiment.
Can one campaign be compared with another?
Yes, but only after aligning audience, denominators, attribution window, offer, and measurement rules.