We build and run an outbound system that ties activity to revenue math: target → deal size → close rate → required opportunities → required coverage. Your sales team closes. The system keeps coverage disciplined.
No front-loaded framework names. Just an operating cadence that keeps coverage visible and correctable before the quarter breaks.
We compute required coverage from revenue target, average deal size, and close rate. This becomes the KPI.
Output: coverage model + target segments + account rules.
Domain & deliverability, data verification, CRM routing, calendar rules. Built to be owned by you.
Output: infra map + deliverability baselines + list QA.
Messaging by segment + seniority. Multistep sequences calibrated for industrial cycles (60–180 days typical).
Output: sequences + testing plan + reply handling rules.
Weekly review of coverage vs model: stage mix, opportunity quality, segment performance. Adjustments happen early — not at quarter-end.
Output: weekly coverage memo + decisions log + next-week plan.
Category pattern: “process transparency” section directly after the problem (Belkins highlights “approach” early; Operatix and SalesRoads lean on clear services + process + proof). [oai_citation:3‡belkins.io](https://belkins.io/)
If you’re already running a sales team and closing £20k+ deals, the fastest way is a 20–30 min fit call. If you prefer proof first, request a sample coverage audit and we’ll show what the weekly governance looks like.
If you tick 3/4, the model usually fits.
The goal is not “meetings”. The goal is controlled coverage against a revenue target. Short engagements incentivise activity spikes instead of a stable system.
Coverage model, segment rules, deliverability infrastructure, list QA, sequence v1.
You own the assets from day one.
Weekly governance against the coverage model, iteration by segment and seniority, pipeline feedback loop.
Decision log, not “reporting theatre”.
We won’t publish inflated promises, we won’t run pooled accounts, and we won’t hide the system behind “black box delivery”. (This matches your current positioning: verifiable architecture, no fabricated claims.) [oai_citation:6‡homepagerun.html](sediment://file_00000000855072468f40aa94857d43b6)
Short answers, operational language, no fluff.
Coverage vs model (how far you are from the required opportunity volume), stage mix, segment performance, and quality signals (seniority, relevance, conversion to next stage). The output is a short weekly memo + decisions.
We don’t sell “guaranteed revenue”. We install and govern a system with auditable deliverables and a coverage KPI. If your sales function converts covered opportunities, the system stabilises forward coverage.
Usually no. Lower ACV tends to need different economics and a higher-volume model. We can recommend a more suitable approach.
Operator-led delivery. The person who models your coverage is accountable for the governance cadence. Specialist support is introduced only when required (deliverability, data), and documented.