Pillar 01 · Audience
The "who matters now" frame, refined when it matter and is required.
Most LinkedIn services skip this entirely. They send connection requests against whatever first-degree network you walked in with and call it a day.
Your TTPA spends the first 4 hours of every week refining the search frame so the next 25 sends are the right 25, the ones which will change your life!
For Best Results, Your TTPA measures results and takes corrective actions immediately.
What lands in your inbox.
Six deliverables: the core four, quarterly recalibration, and an account-based overlay for named targets.
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ICP refinement workshop (Day 5)
A 60-minute working session against your last 12 months of LinkedIn behaviour, your Sales-Navigator activity (if any), and the deals that closed vs the deals that stalled. We leave with 5-12 saved searches and a written buyer-fit definition.
In plain English: On day 5 we run a one-hour working call to pin down exactly who your perfect customer is. We look back at your last year on LinkedIn, what you did in Sales Navigator (if anything), and which deals you won versus which fizzled out. You walk away with 5-12 ready-made searches and a clear written description of the buyer who is the right fit ("ICP" = Ideal Customer Profile).
Tier 1
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Saved-search library, version-controlled
Every saved search is named, dated, and documented with the boolean recipe. When LinkedIn changes the search syntax (about every 9 months) we rebuild the library; you do not.
In plain English: Every search is given a name, a date, and a written note of the exact filter recipe behind it (the "boolean recipe" is the AND/OR keyword rules a search uses). LinkedIn quietly changes how its search works roughly every 9 months — when it does, we rebuild your searches so they keep working; you never have to. "Version-controlled" just means we keep a tracked history of every change.
Tier 1
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Monthly audience-delta + commentary
Every Month end: how your saved-search audience moved this month, why, and which 6-12 individual prospects are worth a manual look. Not a vanity dashboard — a curated short list with one-line context.
In plain English: At Every Month end you get a short note on how your target audience shifted that month and why ("delta" = what changed), plus a hand-picked list of 6-12 specific people worth a closer look, each with a one-line reason. It is a curated short list, not a wall of feel-good charts (a "vanity dashboard" is pretty numbers that do not help you act).
Tier 1
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Veto list maintained
Buyers, ex-employees, board members, regulators, competitors, and personal friends — the do-not-engage list is yours, version-controlled, and applied to every send.
In plain English: Your "never contact these people" list — customers, former staff, board members, regulators, competitors, personal friends. It stays yours, we keep a tracked history of it, and we check it on every single send so nobody on it is ever approached by mistake.
Tier 1
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Quarterly ICP recalibration
Your buyer profile drifts faster than you think. We re-run the workshop every quarter against the deals that closed, the deals that did not, and the personas you wish you had been targeting all along.
In plain English: Who your best customer is changes faster than most people realise, so every three months we re-run the workshop — looking at the deals you won, the ones you lost, and the kind of people you now wish you had been targeting — and update your buyer definition and searches to match. "Included" means it is bundled in, at no extra charge.
Included
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Account-based-marketing overlay
For named-target accounts, we layer org-chart awareness onto the saved-search frame so a connection-request to one buyer is timed against signals from two-three colleagues.
In plain English: For specific companies you are deliberately targeting, we add awareness of who-reports-to-whom inside that company ("org-chart awareness"), so when we send a connection request to one decision-maker the timing lines up with signals from two or three of their colleagues — a coordinated approach instead of one cold poke. "Account-based marketing" means focusing effort on a named list of target companies rather than the whole market.
Included
The Audience runbook.
Excerpt from 1_Audience_Generation.txt — the procedural manual
every TTPA follows. The full manual is shared with you on Day 5.
| Cycle | What we do | Output |
|---|---|---|
| Daily | Saved-search alerts triaged. Newly-emerged prospects flagged. Veto-list checked against any new candidate.In plain English: Each day we scan for new people matching your searches, flag the promising ones, and check every new name against your do-not-contact list. Nothing is sent yet — these are just notes for us. | Internal annotation on candidate list (no buyer surface). |
| Weekly | Audience-delta report compiled. 6-12 highest-signal prospects shortlisted with one-line context.In plain English: Once a week we pull together what changed in your audience and pick the 6-12 strongest leads, each with a one-line reason — that becomes your Friday review packet. | Friday review packet. |
| Monthly | Saved-search library audited; expired queries retired; new queries added based on closed-deal patterns.In plain English: Once a month we tidy your search library: drop the searches that no longer work, add new ones based on the deals you have actually closed, and save a dated snapshot to your account portal. | Versioned library snapshot in your account portal. |
| Quarterly | ICP recalibration workshop. Buyer-fit definition rewritten against the previous quarter’s outcomes.In plain English: Every three months we redo the buyer-profile workshop using the last quarter’s wins and losses, then rewrite your buyer-fit definition and refresh your searches to match. | Updated buyer-fit spec + updated saved searches. |
What you decide · what we decide.
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You decide
- The veto list (people, companies, ex-employees).
- Geographic boundaries (where we send).
- Industry inclusion / exclusion at the saved-search level.
- The weekly shortlist of 6-12 prospects: green-light, red-light, or "ask me first".
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We decide
- The boolean recipe behind each saved search.
- The order of triage during the daily sweep.
- How aggressively we expand the search frame each week.
- Which saved searches to retire when LinkedIn changes its syntax.