The account system

BeginnerDuration ~10 min read + 30 min moveTools CAMPI member list, Notion

The big idea: a flat list tells you who exists; a system tells you who gets what treatment, through which people, triggered by what — all 80 accounts on one board, none of them tracked from memory.

The analogy

Watch an air-traffic controller work. Eighty planes in the sky, and not one of them is tracked from memory. Every plane is on one screen, with a known position and a known heading. The controller doesn’t give every plane equal attention — the ones on final approach get talked to constantly, the ones in a holding pattern get checked on a schedule, and the ones just crossing through get a glance. But nothing is invisible, and nothing depends on the controller remembering. When something changes — a plane turns, descends, calls in — the board shows it, and the board decides who gets attention next.

Your 80 accounts are the planes. The account system is the board. WPH currently has pieces of one — a Connect Tracker, Sales Navigator saves, an ABM plan from April — but pieces are not a board. This lesson builds it.

Honesty note: no good free video exists for this one — the ABM video corpus is mostly vendor webinars — so I wrote it straight from the research of the people who invented the discipline, Bev Burgess and ITSMA. Who owns the paid version is in Go deeper.

How it works

Start with where the discipline comes from, because its origin explains its shape. Account-based marketing was codified in 2003 by Bev Burgess at ITSMA, formalizing what firms like Accenture were already doing: treating individual key accounts as markets of one. The part of her model most people skip is the honest capacity math. True one-to-one ABM — a full plan per account — runs at 5 to 25 accounts per dedicated team. WPH is one founder, one assistant, and Claude. That team cannot give 80 accounts the full treatment, and pretending otherwise is how account lists rot. The answer isn’t a shorter list. It’s descending effort across a tiered account list — exactly how the controller’s screen works.

So, three tiers. Tier 1 is your final-approach traffic: 15 to 20 accounts, each treated as its own tiny market — a mini-plan, named contacts mapped, personal touches timed to signals, an interview ask for the series, a seat at the quarterly dinner. Tier 2 is the holding pattern: around 30 accounts worked in clusters rather than individually — content aimed at their segment or ownership group, event invitations, the annual benchmark. Tier 3 is crossing traffic: everyone else, ambient presence only — LinkedIn content aimed at the named audience and benchmark distribution, nothing personalized. You tier by fit and winnability, not company size, and the ownership-group map from lesson 1.4 does most of the work: a live relationship anywhere inside a group raises the tier of its sibling brands. Tiers are also a promotion path. A Tier 2 account that starts throwing signals moves up, and the treatment moves with it.

Next, people — because in enterprise, an account where you know one person is barely covered at all. Enterprise purchases are committee decisions, made by what the industry calls a buying committee, and there’s a plain operational risk on top: if your only contact changes jobs, the account goes dark overnight. The benchmark data is blunt — single-threaded outreach at big companies lands around a 0.22% reply rate, effectively zero. So every Tier 1 account gets a contact map of three to five named people, usually the marketing head, the digital lead, and the CEO or GM, with procurement added once a deal is live. For each person: name, role, LinkedIn URL, and an honest relationship status — never contacted, connected, conversed, or met. Building several of those relationships in parallel is multi-threading, and it’s the difference between an account and a hope.

Then, signals — the board’s radar. A signal is an observable account event; a trigger event is the specific kind that opens a window for a relevant, personal, non-pitch touch. In PH automotive the watchable set is concrete: a model launch, a new digital or marketing head, a website relaunch, a major campaign, an executive move, a dealer-network announcement, an awards entry. Each account’s watch entry names which of these to watch and where — LinkedIn, press, the account’s own site. And here your small market becomes an advantage. At 80 accounts, one person, or Claude, can sweep the entire market by hand in an hour or two a week. Intent-data platforms are built and priced for markets of thousands; pointed at 80 Philippine automotive accounts, they’d return sparse, noisy data for real money. Manual watching isn’t the budget option here. It’s the correct one.

Finally, how the board feeds the week. Monday’s signal digest — the one from the lesson 0.3 cadence — is compiled straight from the watch entries across all 80 accounts. From it, the week’s three personal touches get picked: each one aimed at a mapped contact, timed to a trigger event, never a pitch. The coverage scoreboard, next lesson, sits on the same rows and records what moved. Without the board, the cadence has no input and touches default to random. With it, the question “who do we contact this week, about what?” answers itself every Monday morning.

The pattern

Every account on one board. Three tiers, mapped people, watched signals. Tier decides treatment: one-to-one, one-to-few, ambient. People decide resilience: 3–5 threads per Tier 1 account, never one. Signals decide timing. The board, not memory, answers Monday’s question.

The receipts (evidence, if you want it)

• ABM codified 2003 by Bev Burgess at ITSMA; the one-to-one benchmark norm is a full plan per account at 5–25 accounts per dedicated team (ITSMA/Burgess — INDUSTRY).
• Single-threaded outreach at 10,000+ employee companies: ~0.22% reply rate (Belkins — INDUSTRY).
• In one large dataset of $50k+ deals, multi-threaded engagement was associated with roughly a 130% higher win rate — vendor-reported, so trust the direction, not the decimal.
• WPH’s existing pieces: a Connect Tracker with 146 rows, 111 leads saved in Sales Navigator, and an ABM program designed April 10 — pieces, not a system: no tiers, no contact maps, no signal watch.
• Tier structure, capacity norms, and reply/win benchmarks with source grades: the tiny-TAM evidence §3 and the industry map §5.

Your one move

Tier the top of the board: from the CAMPI list and your Connect Tracker, pick the 20 accounts you’d most want to win and mark them Tier 1 — best fit, most winnable, group relationships counting double. Thirty minutes. Done means: 20 accounts carry a tier.

The needle: the board exists to aim this week’s three touches at the accounts most likely to turn into a conversation. It’s a targeting computer, not a filing system.

Want to go further?

The full v1 build is the core of the Level 1 capstone — budget a working session. Merge the Connect Tracker (146 rows — dedupe people into companies), the 111 Sales Navigator saves, and the CAMPI member list into one Notion table, ~80 rows. Tier every account (Tier 1: 15–20, Tier 2: ~30, Tier 3: the rest), recording tier and ownership group on each row. Contact-map the top 10 Tier 1 accounts — 3–5 named people each with LinkedIn URL and honest relationship status. Write a signal watch entry for every account: which trigger events, watched where — one line for Tier 3, specific for Tier 1. Then dry-run the digest: have Claude compile one Monday signal digest from the entries. If it surfaces nothing usable, the entries are too vague — tighten them now, not in week three.

Terms introduced

Terms introduced in this lesson

• Tiered account list
• Multi-threading
• Trigger event

Each term links to the glossary, where it is defined by the way you just used it.

Check

Check yourself

1. Single-threaded outreach at 10,000+ employee companies benchmarks around a 0.22% reply rate — effectively zero. What's the board's structural answer to that number?

   Buy an intent-data platform to find warmer leadsSend more messages per contact until one landsSkip large accounts and focus on smaller companiesMap 3–5 contacts per Tier 1 account and build those relationships in parallel, so no account depends on one thread

2. Which of these is a trigger event worth a personal touch in the PH automotive market?

   A Tier 1 account hires a new digital or marketing headA competitor agency lowers its pricesA global report on worldwide EV sales trends is publishedA recruiter sends Richard a connection request

3. Why does this lesson tell you to watch signals by hand instead of buying an intent-data platform?

   Manual watching produces more signals per accountIntent data is only available for US companiesAt ~80 accounts, one person (or Claude) can sweep the entire market weekly by hand; intent platforms are built and priced for markets of thousands and would return sparse, noisy data hereTooling is against LinkedIn's terms of service

4. How does the board feed the weekly cadence from Lesson 0.3?

   It replaces the coverage scoreboardIt generates automated outreach messages for every accountMonday's signal digest is compiled from each account's watch entries, and the week's 3 personal touches are picked from itIt schedules the quarterly executive dinner

Check answers

You can move on when… your Tier 1 list exists and you can say, in one line each, why those 20 accounts made the cut.

Mark this lesson complete

Go deeper

• Bev Burgess (with Dave Munn), A Practitioner’s Guide to Account-Based Marketing — the handbook from the person who codified ABM in 2003, and the paid version of what this lesson compressed. Honest note: it’s written for large enterprise marketing teams, so read it for the tiering and coverage logic, not the org charts.
• Let’s Talk ABM — Burgess on ABM’s origins — a short interview, not course material, but the origin story from the source.
• Next up: 1.7 · The coverage scoreboard — the metric layer that sits on top of these 80 rows and replaces response-rate thinking for good.