Playbook · Market Map

The Market Map playbook.

Who should this company be selling to — and how much is it worth? Build the ICP & Persona matrices, value every account, and roll it up into TAM by tier. Start with the five-minute brief, then open the repo.

4Phases
~1 hrDiscovery
Clay + ClaudeData engine
SF + HSBoth platforms
Watch or listen first · 5 min

The audio brief.

One narrator, five minutes, the whole shape of the project — now with the deck that runs alongside it. Play it before you open anything else; it's the fastest way to get into the right mindset for a Market Map build. In a hurry? Change the speed under the deck — it sticks next time.

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Chapter 1 Narrated brief · generated with ElevenLabs · Download ↓
Chapters
The whole idea

Market Map answers one question: who to sell to, and how much it's worth. Everything downstream — inbound, outbound, territories — is built on top of it.

The Shape

Four phases, one motion.

Light on meetings, heavy on up-front analysis. Most of the value lands before the discovery call.

Start Here

Kick off with the plugin.

No setup needed — the plugin makes the repo for you. Download it, tell it the CRM and the customer, and it guides you through the whole thing. (Or paste the prompt below into your Claude.)

paste into Claude
# Market Map — kick off
Download the LeanScale Market Map plugin, then tell it:
  · Which CRM — [Salesforce | HubSpot] instance
  · The customer — [Customer Name]

It clones the repo for the customer, reads AGENTS.md, and runs the kickoff:
  1. Pull internal signals — closed-won/lost, ACV/LTV, contact roles.
  2. Run external research (deep-research agents + CB Insights).
  3. Draft the ICP + Persona matrices (~50–80% right) for the discovery session.
  4. Propose an account-valuation model and a first TAM cut by tier.

Prereqs

Just a repo — and the plugin creates it. No server needed (that's only for ongoing support). Works against Salesforce or HubSpot.

1
Phase 1

Blueprint.

Blueprint is light on meetings — often a single ~1-hour discovery — but heavy on prep. You show up with the ICP and Persona matrices already built, maybe 50–80% right, so the customer pokes holes instead of staring at a blank page. That's the premium experience.

1.1 · The Up-front Research

Build the matrices from two sides.

External — the market
  • Deep-research agents for firmographic, funding, and technographic signals
  • CB Insights — the one paid pro source we lean on (skip Crunchbase / Pitchbook unless already paid)
  • What signals define a great-fit account, and who to look for
Internal — their own data
  • Closed-won / closed-lost, avg ACV, avg LTV — who sticks around and pays a lot, and what they share
  • Contact roles on opportunities — which personas actually drive deals (activity + transcripts)
  • Combine it all with the Vasco context graph when it isn't clean in the CRM
  • Check the CRM already has the enrichment fields (technographic, firmographic, tier/score)
1.2 · The ICP Matrix

Score the accounts.

Every attribute gets a best / good / potential / off-limits version and a weight (1–10). That's the account-scoring model.

GeographicFundingFirmographicTechnographicProblem / PainExecutive SponsorChampion
Tier 1Great FitUnited StatesSeries A, B, or equivalent maturityB2B, SaaS, AIaaSSalesforce, HubSpotFull Stack RevOpsInvestors (VC or PE)CEO, CFO, CRO
Tier 2Good FitCanadaSeries C, D or equivalent maturityB2B ServicesSales Ops, Marketing Ops, CS OpsCEO, CFO, CROGTM Leadership
Tier 3Potential FitUKSeedB2B MarketplacesSystems AdminHead of RevOpsRevOps Leadership
Off LimitsNo FitRest of WorldPublic companies or lifestyle businessB2C, Non-TechNot using GTM tech stackOne-off projectsManager level or belowICs only
Weight1–10851010855
1.3 · The Persona Matrix

Score the people.

Same idea, for buyers. Then expand each with a preliminary signal — an example from a closed-won deal ("here's what it looked like when it first came in").

TitleExperienceKPIsPainBuying MotivationCultural Attributes
Tier 1Great FitCROSeasoned — in the role 3+ times beforeFull ARR ownershipHolistic GTM ops pain — reporting / systems / processGetting ops in order for a strategic event (fundraise / exit)Practical, pragmatic, decisive, strategic, fast-paced
Tier 2Good FitHead of RevOps, CMO, VP Sales, VP CS, COOExperienced — in the role at least onceFunctional KPIs — bookings / pipeline / churnSpecific pain — systems / reporting / processHit company-wide KPIs / OKRsInnovative, experimental
Tier 3Potential FitFounder / CEO / CFONewbies — first time in roleFinancial metricsSystems-only or point projectsHit departmental KPIs / job security / promotionSlow-paced, indecisive
Off LimitsNo FitCTO, Head of Engineeringn/aProduct-only KPIsn/an/aAggressive, combative
Weight1–1085101085
1.4 · Valuing an Account

Ways to value a potential account.

Leverage firmographic data and your existing base to make reasonable assumptions about what an account is worth. Peg it to something publicly available that ties ~1:1 to revenue — then triangulate.

1
Revenue coefficient
A coefficient tied to the account's annual revenue.
2
Employee-size coefficient
A coefficient tied to employee headcount.
3
Product-specific coefficient
Based on specific volumes you can associate with your product.
4
Like-accounts comparison
Segment and profile your customers, then match current values to similar potential customers.
5
Combination
Combine a few methods to triangulate the account's potential — usually the right answer.

Why pre-build it

Showing up with the matrices already drafted makes discovery a hole-poking session, not a blank page — "we're ~50–80% there; tell us where to fill the gaps." That's what makes it feel premium.

2
Phase 2

Build.

Now get the data, score it, and roll it up. The CRM build is light — the heavy lifting is enrichment and the TAM artifact.

2.1 · Get the Data

Clay for coverage; Claude for the first pass.

1
First pass with Claude, on our tokens
Stand up a real database of whatever's publicly reachable so the customer has something tangible immediately — with the gaps called out.
2
Then Clay to do it properly
Clay gives the best coverage (its API now connects to Claude). Bring-your-own-enrichment — introduce them to Clay, or white-label our credits. Niche industries may need a specialist source (e.g. Structora for home inspectors).
3
Accounts → contacts → scores → value → tiers
Pull accounts, then contacts, run the account + persona scores, attach a value to each account, and group into Tier 1 / 2 / 3 / off-limits. Now you can read the TAM in each.
2.2 · CRM Build (light)

Keep the scoring logic in Clay.

In the CRM
  • Fill gaps in enrichment fields — technographic, firmographic
  • Account tier + score fields
  • A record-triggered "Send to Clay" flow (or button) — the CRM is just the trigger
In Clay
  • The scoring logic lives here, not the CRM
  • Monitors company-level signals → re-scores and writes the tier back
  • Signal-based refill by default; can run two-way if needed
2.3 · The TAM Artifact

The star deliverable.

An interactive TAM dashboard — and the place the customer approves the scoring + valuation models, which kicks the whole build off.

$2.3BTotal TAM
$60MTier 1
$308MTier 2
$1.9BTier 3
TAM by tier
$2.3B
By geography
By industry
By assigned rep

Illustrative. The live artifact adds a map view, a 3-axis (X/Y/Z) graph, and sliders to re-weight attributes and move tier thresholds — every chart updates live, with a reset to the recommended model.

Cuts

Every slice, by tier

Total TAM and TAM by tier; stacked by geography, industry, assigned rep, and any product/marketing-owned segment.

Interactive

Sliders + thresholds

Change an attribute's weight or move a qualifier into a different tier; graphs recompute live. Reset to the model we recommended.

Approval

Sign-off in the repo

Approving the scoring + valuation models in the blueprint/repo is what kicks off the build.

2.4 · Total TAM by Tier

An example output.

Tier 1 means meeting all Tier-1 qualifiers — selective, and still worth $60M. Tier 2 can mix Tier-1 and Tier-2 qualifiers (no Tier-3). Tier 3 is everything else.

Tier 1
$60M
  • US-based
  • Series A, B, C
  • B2B SaaS
Tier 2
$308M
  • Canada
  • Series D
  • B2B Services
Tier 3
$1.9B
  • UK
  • Seed funding
  • B2B Marketplaces
2.5 · Signals to Monitor

What triggers a re-score (and, later, outbound).

Fundraising New hires Departures New product launch New office / market PR disaster Events

Niche

Some customers want bespoke signals — e.g. Mistral wanting to know when accounts are buying GPUs (that one takes serious web scraping). Scope the exotic ones deliberately.

3
Phase 3

Enable.

Lighter than most — mostly handing over a living map.

📄 Presentation + materials
Hand-off
  • The ICP + Persona matrices
  • The valuation model
  • The TAM dashboard walkthrough
🔓 Ongoing access
Live
  • Standing access to the dashboards
  • The repo, cloned for the customer
⚙️ Process changes
If any
  • e.g. reps now logging contact roles on new deals
  • Enable on those — hopefully few
4
Phase 4

Maintain.

Time-based · quarterly

Revisit the model every quarter: has anything changed about why an account lands in a given tier, or why it belongs on the ABM target list? Re-tune weights and thresholds.

Signal-based · ongoing

Keep the signals running. A raise, a big hire, a launch → Clay re-scores the account and updates the tier, and can prompt enrichment or outbound. Update the valuation model when the market moves.

Where It Leads

The prerequisite for the fun stuff.

Market Map is the foundation the next projects stand on. Do it first.

Next

Sales Territory Design

The quick second — the account-valuation model and enriched universe become its first blueprint. Kept as its own project (different discovery, different tools).

Unlocks

Automated Inbound Enrichment

Can't route and score inbound without the ICP/Persona models and the enrichment fields this project builds.

Unlocks

Automated Outbound Sequencing

The tiered, valued, signal-monitored universe is the outbound target list. This is the prerequisite.

Browse

See the whole set in the Playbook Library →

Closeout

Debrief the project.

When a Market Map engagement wraps, spend sixteen minutes with the debrief agent. Teamwork already knows what got built and when. This is for the part none of our systems can see — the call that could have gone either way, the thing the customer wanted that you refused, the near-miss that never became an incident, and above all the places this playbook turned out to be wrong. What comes out of it gets written back into this page.

Before you start

Two minutes of thinking beats sixteen minutes of recall. Have these in your head — you don't need notes, and you definitely don't need a script.

  • The universe and the tier split — roughly how many accounts, and how they landed across tiers.
  • Whether people-scoring survived — the playbook says build both sides; the people side is the one that quietly gets dropped.
  • Whether anything has triggered a re-score since handover, and whether the thresholds held.

Sixteen minutes, one sitting. It's a voice conversation, so your browser will ask for microphone access — use headphones or the agent will hear itself. Chrome is the safer bet over Safari.

Hand over the artifacts too

The debrief asks what you built that's worth reusing. This is where you actually hand it over — dashboards, field maps, flows, templates, scripts, spec docs. Files land in the project's Drive folder; links go into the artifact register so the next person can find them.

Thirty seconds, and do it while the project is still in your head. “I'll upload it later” is exactly how assets end up trapped on an account.

Add an artifact →