Demos, integrations and POCs are sales work. On most P&Ls that engineering time is coded to R&D, which means reported CAC excludes it.
Salary is the line you budget. Employer taxes, tooling, management time, turnover and ramp are real costs of the same headcount, and most of them are coded somewhere else. Here is one worked example.
Fully loaded, three SDRs
€138k per head. Calculator defaults: €55k base, €15k OTE, one manager, three-month ramp.
Base salary + OTE, three SDRs
Loaded cost ÷ budgeted cost, this example
Your own inputs will land somewhere else. The tool computes the ratio from your numbers rather than quoting an industry average.
Spec review, integration scoping and technical qualification happen before anything reaches an engineer's calendar. A human engineer joins when the deal is qualified, not when the question arrives.
Deep-scrape enrichment & intent verification.
Our agents scan 40+ data sources to build complete prospect profiles before any human touch.
Multi-channel sequencing (LinkedIn/Email) without human touch.
Sequenced messaging across email and LinkedIn, with the reply handed to a human.
AI pre-qualifies technical specs before your expensive engineers ever touch the lead.
The one that moves the P&L: engineering hours spent qualifying deals are sales costs booked as R&D.
The work absorbed before it reaches a calendar.
The method, in full, before you enter anything. If a step here does not hold up, the output does not either — and you should be able to see that from the outside.
Headcount, base salary, OTE, which overheads you carry, turnover over the last two years, ramp time, and current meeting volume. Team aggregates, never individual employee records.
Employer taxes and benefits as a percentage of base, tooling and workspace per head, management time allocated across the team, and turnover priced as separation plus ramp. Every rate is visible in the tool and every figure is derived from what you entered.
Budgeted cost, fully loaded cost, the ratio between them, and cost per meeting. No comparison against a peer set we have not shown you, and no benchmark we cannot source.
What the tool does not yet measure is engineering time spent on demos, integrations and technical evaluations. That is the larger half of the argument on this page, and it is the part an audit adds. Run the audit to price the visible half first.

Founder & Infrastructure Lead
"Automating sales isn't just about 'more volume'. It's about data integrity and financial rigor. I built Upsimplify to solve the massive leakage in P&L efficiency that most mid-market companies bury in 'SDR overhead'."
With a background in data engineering and sales ops, Lorenzo oversees every deployment to ensure your AI infrastructure isn't just a tool, but a long-term capital asset.
Every figure below states its source or its method. Where neither exists, the figure is not here.
Bridge Group 2025 SDR report, n=365 B2B companies. Midpoint $130k. A US benchmark, quoted in USD rather than silently converted.
The range this calculator produces across its input bounds. Not an average of anyone: your inputs decide where you land in it.
Manufacturing and Fintech. Outcome averages across these are not published here, because the sample is too small to report honestly as a range.
Encrypted in transit & at rest, hosted on AWS
Integrates with your existing infrastructure
Data from 40+ mid-market audits in Manufacturing & Fintech
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