The math
Any single playbook puts real meetings on your calendar. The shift happens when several run together, because each catches a different shape of conversation in a different week.
Seven shapes / stacked annual hours (one client type)
| Playbook | Hours a year by hand |
|---|---|
| 01 Network Sprint | ~96 hrs |
| 02 Lookalikes | ~70 hrs |
| 03–06 Hiring set | ~270 hrs |
| 07 New In Role | ~180 hrs |
Seven playbooks by hand against a single client type: roughly 616 hours a year once contact-finding and the address waterfall are included (96 + 70 + 270 + 180). About 77 working days. A full second job. Stage minutes live in the tradecraft chapter.
Network Sprint keeps you present with the people who already trust you. Won Deal Lookalikes turns every closed engagement into the next twenty. The four hiring playbooks catch the moment a company has approved a budget and signalled intent in public, before anyone else shows up to compete. New In Role catches the brand-new buyer in the narrow window when they are still choosing who to trust for the year.
That is seven distinct shapes of conversation, each one handing you a reason to talk to a specific person in a specific week. None of them is clever, and that is rather the point. They work because they are early and relevant, not because they are ingenious, and early plus relevant beats clever every week of the year.
So why do most operators only ever run one of them? It is not the theory, and it is not willingness. It is time, plain and simple. Delivery always wins the calendar until famine makes pipeline feel urgent again, and by then the window that mattered has usually closed. That is the cycle this whole book has been describing, and the playbooks only break it if something keeps them alive all the way through the feast.
If you wanted the point-tool version instead
If you stitch this together without a single system, the common stack looks like this. Prices move (indicative 2026 bands in pounds). The integration tax does not. The tradecraft chapter is where each seat earns its place.
- LinkedIn Sales Navigator Core: about £80–100 / month
- Apollo (people, companies, one finder tier): about £60–90 / month
- Hunter (first-line email finder): about £40–80 / month
- Prospeo (profile-based finder): about £30–50 / month
- Findymail (verified on find): about £30–50 / month
- Dropcontact or LeadMagic (regional finder): about £30–60 / month
- NeverBounce, ZeroBounce, or MillionVerifier (verification): about £15–40 / month
- A jobs data product for multi-board intent, or six open tabs: about £40–60 / month
- Ocean.io (lookalike companies, Playbook 02): about £60–90 / month
- Fireflies or equivalent (deal artefacts, Playbook 02): about £15–25 / month
- Champify or UserGems (job-change automation, Playbook 07 at full intensity): often high hundreds to low thousands of pounds / month
Core stack without job-change automation: about £330–540 / month (roughly £4,000–6,500 / year). Four of those lines are email finders, held together on purpose, because none of them covers the whole map. Add lookalike and recording tools and you climb. Add dedicated job-change SaaS and the monthly number jumps hard. None of these products talk to each other. You still do all the work of moving data between them, copy-pasting from one tab to another, and remembering which step lives in which tool. That is before the ~616 hours a year of operator time if you run all seven playbooks by hand for one client type.