Marketing & Advertising
Webinar Lead Economics Calculator
Estimate live and replay MQLs, opportunities, expected customers, cost per MQL, customer gross-profit value, contribution, and ROI for a webinar program.
Live attendees-
Live-source marketing-qualified leads-
Replay-source marketing-qualified leads-
Total marketing-qualified leads-
Expected sales opportunities-
Expected customers-
Expected customer gross profit-
Total webinar program cost-
Cost per MQL-
Expected program contribution-
Expected program ROI-
Decision view
Live-and-replay lead merge with expected pipeline value
Live-and-replay lead merge with expected pipeline valueTwo acquisition paths merge at MQL, then narrow through opportunities and expected wins before program cost is deducted.
Exact scenario comparisonLive attendance rate (%) changes while all other entered assumptions remain constant.
| Live attendance rate (%) | Live attendees | Live-source marketing-qualified leads | Replay-source marketing-qualified leads | Total marketing-qualified leads | Expected sales opportunities | Expected customers | Expected customer gross profit | Total webinar program cost | Cost per MQL | Expected program contribution | Expected program ROI |
|---|
How to use Webinar Lead Economics Calculator
- Enter registrations and actual or forecast live attendance.
- Use separate qualification rates for live attendees and replay viewers.
- Apply opportunity and win rates from comparable leads, then include promotion, production, and follow-up cost.
Calculator guide
Understanding Webinar Lead Economics Calculator
A webinar creates two different demand streams: live attendees and later replay viewers. Their qualification rates should remain separate before the leads merge into opportunities, expected wins, and gross-profit value.
Detailed calculation process
Detailed live, replay, and webinar pipeline calculation
The default webinar begins with 850 registrations and 210 qualified replay viewers.
General formula: A=RgM_L=Aq_LM_R=Vq_RM=M_L+M_RO=MpW=OwG=WLC=G-KROI=C/K Live attendance and replay viewing create distinct MQL streams. Total MQLs pass through opportunity and win probabilities, and expected gross profit is netted against the complete program cost.
What each symbol means
Worked substitution with the default inputs
The default webinar creates $13,111.11 of expected contribution after all entered program costs.
Worked situations
Practical examples
- Eight hundred fifty registrations at 46% attendance yield 391 live attendees and 93.84 live MQLs.
- Replay contributes another 23.10 MQLs; the combined 116.94 MQLs produce 4.63 expected customers through the entered pipeline rates.
Better inputs
Useful tips
- Define an MQL before the event and use the same rule for live and replay leads.
- Measure replay viewers within a fixed attribution window.
- Use gross profit rather than contract revenue when comparing value with acquisition cost.
Before relying on the result
Limitations and common mistakes
- Fractional customers represent expected value across repeated programs, not a guaranteed event outcome.
- Sales-cycle timing, multi-touch attribution, no-show nurture, and existing pipeline influence are excluded.
- One opportunity and win rate is applied to both source streams after qualification.
Reference
Key terms
- MQL
- A lead meeting the marketing qualification criteria used for sales handoff.
- Expected customer
- Probability-weighted wins, which may be fractional.
- Program contribution
- Expected first-year customer gross profit less webinar cost.
Important note
Use cohort-specific conversion rates from comparable webinars and keep the attribution window consistent.
Frequently asked questions
Should registrants who attend live also count as replay viewers?
Avoid duplicate attribution unless replay engagement creates a separately defined qualified action.
Why are expected customers fractional?
The calculator multiplies pipeline probabilities to express average expected wins across similar webinars.
Can influenced pipeline be added?
Not in this model; keep sourced customer value separate from influenced opportunities to prevent double counting.