The fix, in numbers.
The homepage shows what unmanaged inbound costs. This page prices what fixing it is worth: recovered leads, rep hours returned, hires avoided. Your numbers, not ours, against conservative, sourced industry baselines. The whole model is in the open.
What the category already proves
The economics of the AI inbound SDR are no longer speculative. The category's own customers have published the numbers.
A Qualified customer, the CMO of Sinch, publicly reports that Piper "does the work of 13 SDRs".
Qualified customers publicly report 3x more meetings in six months and 6x SDR efficiency.
Spara publicly reports a customer booking over 90 meetings in its first 30 days.
Sources: Qualified customer results page and Spara launch announcement, BusinessWire, September 2025, as publicly reported at the time of writing.
Those are the vendors' best customer stories, selected and published by the vendors themselves. The calculator below goes the other way: conservative industry baselines, every assumption visible, every default adjustable. Run your own inbound through it.
Three ways it hits the P&L
Recovered revenue
23% of inbound web leads never get a response at all. Those are buyers you already paid to acquire, leaking at the moment of maximum intent. LUPO answers every one in seconds, around the clock, so the leak becomes pipeline instead.
Research hours returned
Every meeting arrives pre-briefed: contact verified, company signals, decision-maker context, buying intent scored. The 30 minutes a lead costs in manual lookup today is pre-done when the booking lands, and rep time goes into the conversation, the one part only reps can do.
Hires avoided
LUPO qualifies and scores every lead the moment it arrives, 24/7, unfailingly. Inbound volume can double without the next round of triage hires, and your existing team spends its week on real buyers. Capacity stops being a headcount problem.
Run your own numbers
Revenue impact plus cost avoided, illustrative, using your inputs. Closed revenue contributes at your gross margin; this is not a profit figure.
$517,500 incremental closed revenue + $120,000 hiring cost avoided − $108,000 LUPO annual cost
Every recovered lead is demand you already paid to generate. Today it converts to nothing. With LUPO, marketing gets the audit trail on exactly what happened to every lead it handed over.
Rep hours returned (600 hours, about 0.3 FTE, per year) are shown as capacity and deliberately not priced into the net figure, to avoid double counting with avoided hires. Defaults are conservative and sourced: see the methodology.
The methodology, in the open
No black box. These are the formulas the calculator runs, written out:
- Recovered leads per year = monthly inbound × 12 × share of inbound never answered today
- Incremental qualified meetings = recovered leads × share that become qualified meetings
- Incremental closed revenue = qualified meetings × close rate × average deal value
- Rep hours returned = leads manually researched per year × research minutes ÷ 60
- Hiring cost avoided = triage hires avoided × loaded annual cost per SDR
- Net annual impact = incremental closed revenue + hiring cost avoided − LUPO annual cost
Two deliberate choices keep the model honest. Closed revenue contributes at your gross margin, not one to one, so the output is labelled revenue impact plus cost avoided, never profit. And rep hours returned are reported as capacity but not priced into the net figure, because pricing the hours and counting avoided hires would double count the same saving.
The defaults come from independent published research, not our marketing. Harvard Business Review found that 23% of inbound web leads are never responded to at all, and the same research found that responding within 5 minutes makes contact 21 times more likely than waiting 30. Salesforce's State of Sales puts the share of a rep's week actually spent selling at 28%. MarketingSherpa found 73% of B2B leads are not sales-ready when they arrive, which is why qualification, not raw speed, is the job. Where a default is our own assumption rather than a published statistic, it errs low: only a quarter of recovered leads becoming meetings, a 15% close rate, two avoided hires. Disagree with any of them? Change them. That is the point of the page.
Last updated: June 2026
Common questions
How is the ROI calculated?
Net annual impact = incremental closed revenue + hiring cost avoided, minus LUPO's annual cost. Incremental closed revenue = recovered leads x the share that become qualified meetings x your close rate x your average deal value. Research hours returned are shown as capacity but deliberately not priced into the net figure, to avoid double counting with avoided hires. Closed revenue contributes at your gross margin, so read the output as revenue impact plus cost avoided, not profit. Every default is adjustable.
What does LUPO cost?
3,000 to 15,000 USD per month, stated upfront, depending on inbound volume and integrations. Engagements start with a 30-day founder-led pilot with success criteria agreed in advance, fully live in 4 to 8 weeks. See pricing.
Where do the baseline statistics come from?
Independent published research. Harvard Business Review: 23% of inbound web leads never receive a response, and responding within 5 minutes makes contact 21 times more likely than waiting 30. Salesforce, State of Sales: reps spend 28% of their week actually selling. MarketingSherpa: 73% of B2B leads are not sales-ready when they arrive. The defaults err conservative, and every one of them can be changed.
Instrument these numbers on your own inbound.
Every pilot starts with success criteria agreed upfront: qualification rate, form-to-meeting conversion, rep hours saved, leads recovered. The same numbers as this page, measured on your pipeline for 30 days.