Sales Funnel Targets Calculator

Translate a revenue target into required wins, opportunities, SQLs, MQLs, and leads using funnel conversion rates.

If you want $X in new revenue, you need a certain number of wins. Wins require opportunities, and opportunities require qualified leads.

This calculator converts a revenue target into funnel volume targets using your conversion rates so you can plan demand generation and sales capacity.

Prefer an explanation- Read the guide.
Related definitions:acvmqlsqlwin ratepipeline
 
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Tip: you can type commas (e.g., 10,000).

Example

Using the default inputs, the result is:
3,333
Revenue target (period)
$500,000
Average deal size (ACV)
$25,000
Lead -> MQL
20%
MQL -> SQL
30%
SQL -> Opportunity
40%
Opportunity -> Win
25%

How to calculate

  1. Enter your revenue target and average deal size (ACV).
  2. Enter funnel conversion rates from lead -> MQL -> SQL -> opp -> win.
  3. Review required counts at each funnel stage and implied pipeline value.

Formula

wins = target / deal size; opps = wins / opp->win; SQLs = opps / SQL->opp; MQLs = SQLs / MQL->SQL; leads = MQLs / lead->MQL
  • Conversion rates are stable and measured over consistent windows.
  • Ignores time lag (sales cycle); align inputs to the same period.
  • Assumes average deal size is representative; segment for higher accuracy.

FAQ

Why does a small change in conversion rates move leads a lot-
Because conversion rates multiply. Small improvements at each stage compound into a large reduction in top-of-funnel volume required.
Should I use leads or MQLs as the starting point-
Use the earliest stage you can measure consistently. If lead quality varies widely by channel, model channels separately for accuracy.

Common mistakes

  • Using conversion rates from a different segment (SMB vs enterprise).
  • Mixing definitions (what counts as an MQL/SQL).
  • Ignoring time lag (leads generated now may close next period).

Quick checks

  • Keep time units consistent (monthly vs annual) across inputs and outputs.
  • Segment by cohort/channel/plan before trusting a blended average.
  • Use the related guide to avoid common definition and denominator mismatches.