Funnel economics
See what a conversion drop on one form does to your pipeline.
Use your own requests, conversion, ACV, and win rate. Then model a conversion drop on part of the funnel.
Everything here is an estimate from your own inputs, and we do not call it lost revenue.
Start with numbers your team already has.
Eight inputs, and every figure on this page comes from them.
Your funnel
What those requests add up to over a year.
- Requests
- 1,560 / year
- Expected opportunities
- 624 / year
This is your own funnel, worked out from what you entered. BookedDemo does not create or claim any of it.
Degradation scenario
Now model a conversion drop.
Conversion drops from 40% to 30% for 20% of requests, over 2 weeks.
- Requests that hit the problem 12
- Expected opportunities, healthy 4.8
- Expected opportunities, degraded 3.6
- Difference 1.2
We cap the degraded rate at the healthy rate, so this can only model a drop.
This is one scenario built from your inputs. It is not lost revenue we are claiming, and it says nothing about how often this happens.
We have watched this happen. In our Study, 14 of 1,000 public buyer Paths led to a dead, invalid, or unpublished destination. See the observed failures →
Annual coverage
What annual coverage costs next to that funnel.
We put the plan price next to the annual funnel above rather than next to the one scenario you modeled.
Based on Path count
Coverage
$15,000 / year
- 0.43% of modeled expected won revenue
- About half your entered ACV.
Shown because you entered 4 Paths.
The scope we quote also depends on how many regions, devices, or buyer profiles we check on each Path, and how far each one can be followed.
With an annual plan we keep checking these Paths as an outside buyer and keep every run, so you can see when something changed and rerun the same check after a fix.
This only shows how big the plan is next to your funnel; it says nothing about a return.
Compare coverageThe longer a problem stays hidden, the more pipeline passes through it.
A drop in one region or on one device barely moves a weekly total, so it can run for weeks.
Catch it sooner
Because we keep checking, the break shows up closer to when it started.
See where it broke
Which region, device, buyer profile, or form it was, or whether it was the email after submit.
Keep the evidence
What an outside buyer reached, and what arrived after submit.
Verify the fix
We rerun the same Path, same region or device, to show the fix held.
If you already have dashboards or an in-house script, compare the alternatives →
How the math works.
Every number on this page is plain multiplication of what you entered. There are no weights or hidden coefficients.
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
The Path count is in none of these formulas. It only picks which plan the card above shows: 1 to 2 Paths shows Critical Paths, 3 to 6 shows Coverage, 7 or more shows Custom Coverage. On the pricing page, additional compatible Paths can also extend a plan from +$2,500 per year.
Where the defaults come from
The presets are examples you can edit, and none of them is a research finding. Weekly volume and detection time are not credibly benchmarked anywhere, so replace them with your own.
We read HBR on lead-response delay and ran our own Study of 1,000 public buyer Paths, but neither one sets a number in this model.
Everything above is modeled from your inputs. We are not claiming lost revenue, saved revenue, recovered pipeline, or a return on BookedDemo, and we do not estimate how often a Path fails in a year.
Now see what happens on your own Paths.
A Proof Sweep shows you what happens on your own Paths before you commit to a year.
Prefer to talk first? Discuss your Paths. The fit and scoping conversation is free.