Funnel economics
Use your own requests, conversion, ACV, and win rate. Then model a conversion drop on part of the funnel.
Your numbers, your scenario. Estimates, never claimed lost revenue.
Eight inputs. Every figure on this page is derived from them.
Your high-intent funnel
Your own funnel, calculated from your inputs. BookedDemo does not create this revenue and does not claim it.
Degradation scenario
Conversion drops from 40% to 30% for 20% of requests, over 2 weeks.
Degraded conversion is capped at the healthy rate. This models a drop, not an improvement.
One scenario, from your inputs. Not claimed lost revenue, and not a prediction of how often this happens.
Failures like this are real. In our Study, 14 of 1,000 public buyer Paths led to a dead, invalid, or unpublished destination. See the observed failures →
Annual coverage in context
Compared with the annual funnel above, not with one modeled scenario.
Based on Path count
Coverage
$15,000 / year
Matched on 4 Paths.
Final scope also depends on scenarios and proof depth.
Annual coverage keeps these Paths under recurring external proof, with history, change detection, and fix verification.
A scale comparison, not a return.
Compare coverageA drop in one region or on one device barely moves a weekly total, so it can run for weeks.
Recurring verification finds the break closer to when it starts.
Which region, device, buyer profile, form, or follow-up layer.
What an outside buyer reached, and what arrived after submit.
Rerun the same Path and context to prove recovery.
Dashboards, manual checks, in-house scripts: compare the alternatives →
Multiplication only. Nothing weighted behind the scenes.
Annual funnel
annual requests = requests per week × 52
annual opportunities = annual requests × healthy conversion
annual pipeline = annual opportunities × average deal size
expected won revenue = annual pipeline × win rate
Degradation scenario
affected requests = requests per week × share affected × weeks
opportunity difference = affected requests × (healthy conversion − degraded conversion)
modeled pipeline impact = opportunity difference × average deal size
modeled expected revenue impact = modeled pipeline impact × win rate
Annual coverage context
share of expected won revenue = annual plan price ÷ expected won revenue
average deals = annual plan price ÷ average deal size
Paths covered appears in no formula. It only picks the closest standard plan. 1 to 2 Paths is Critical Paths, 3 to 6 is Coverage, 7 or more is Custom Coverage.
The presets are editable examples, not research findings. Weekly volume and detection time are not credibly benchmarked anywhere, so replace them with your own.
Context, not coefficients: HBR on lead-response delay and our Study of 1,000 public buyer Paths. Neither sets a number in this model.
Modeled from your inputs. This page does not claim lost revenue, saved revenue, recovered pipeline, or a return on BookedDemo. It does not estimate how often a Path fails per year.
A Proof Sweep shows what actually happens before you decide on annual coverage.
Prefer to talk first? Discuss your Paths. The fit and scoping conversation is free.