Funnel Conversion Calculator

Sales funnels have 3-4 stages typically: visitor → lead → qualified → customer. Compound conversion through multiple stages creates sharp drop-off. This calculator shows stage-by-stage numbers.

10,000 visitors × 25% lead × 30% qualified × 20% close = 150 customers. At 1,000 deal value = 150k revenue. Full funnel conversion 1.5% - typical for B2B.

Identify weakest stage. If top-funnel traffic is strong but closing is poor, spend on sales enablement. Weak top-funnel calls for acquisition channel work. Each stage compounds - 10% improvement in each stage = 33% more customers.

Run it with sensible defaults

Using top funnel visitors of 10,000, stage 1 conversion of 25%, stage 2 conversion of 30%, stage 3 conversion of 20%, the calculation works out to 150,000.00. The defaults are meant as a starting point, not a recommendation.

The levers in this calculation

The inputs — Top Funnel Visitors, Stage 1 Conversion %, Stage 2 Conversion %, Stage 3 Conversion %, and Average Deal Value — do not pull with equal force. Not every input has equal weight. Adjusting one input at a time toward extreme values shows which ones move the result most.

How the math works

Multiply through stages. Final conversions × deal value = expected revenue.

Using this as a check-in

Re-run this every three months. A single reading tells you where you stand; four readings tell you whether things are improving. The trend matters more than any individual snapshot.

What this doesn't capture

The score is a composite of the inputs you provide. Life context — job security, family obligations, health, housing — doesn't appear in the math but shapes the real picture. Use the number as a prompt, not a verdict.

Worked example

Suppose a software company runs paid search campaigns and wants to model revenue impact. They pull:

• 50,000 monthly click-throughs to their website
• 18% sign up for a free trial (Stage 1)
• 35% of trial users request a demo (Stage 2)
• 22% of demo attendees purchase (Stage 3)
• Average contract value of 2,500

The calculator chains these together: 50,000 × 0.18 × 0.35 × 0.22 × 2,500 = 346,500. This illustrates what the three-stage conversion model produces with those inputs. Running the same numbers again in six weeks and comparing outputs shows whether operational changes moved the needle.

Common scenarios where this model applies

This calculator models situations where a prospect must pass through sequential decision gates. Examples include:

• E-commerce: browse product → add to cart → complete checkout
• B2B sales: download resource → attend webinar → attend sales call
• SaaS onboarding: sign up → complete first action → activate payment method
• Recruitment: job application → phone screen → interview offer

In each case, the output at one stage feeds directly into the next. The model assumes independence between stages—that improving one conversion rate does not directly affect another.

What the result captures

The calculator estimates revenue output given the four conversion rates and deal value you supply. It shows the arithmetic effect of compound conversion—how a small absolute percentage at each gate multiplies into a final customer or revenue figure. It also reveals which stage creates the largest absolute drop-off in absolute numbers.

What the result does not capture

The model does not account for time delays between stages, seasonal variation, or changes in conversion rates across cohorts. It treats each visitor independently and assumes conversion rates remain constant. It does not model the cost of acquisition or servicing at each stage, only the revenue output. It also does not reflect qualitative factors such as customer lifetime value, repeat purchase likelihood, or referral effect. The calculation is for educational illustration and models a scenario; actual results depend on execution, market conditions, and factors beyond the inputs shown.