sdr-territory-mapper

name	sdr-territory-mapper
description	SDR territory analysis: map account coverage, identify whitespace, prioritise by ICP density and trigger signal concentration, build territory plans and coverage reports

SDR Territory Mapper Skill

When to activate

• Planning a new territory assignment for an SDR or AE
• Auditing your current territory for whitespace and untouched accounts
• Quarterly territory planning and headcount alignment
• Identifying which segments or geographies have the highest ICP density
• Presenting a territory plan to your manager or in a QBR
• Re-balancing territories after team changes or a market pivot

When NOT to use

• Individual account research — use /sdr-research-brief for that
• Full RevOps forecasting — use /revenue-operations for pipeline metrics
• Customer segmentation for CS — different function and signals
• TAM/SAM/SOM for investor decks — use /pitch-deck for that

Instructions

Territory health check

Run a territory health check for [TERRITORY — e.g. "Mid-Market EMEA, 200-1000 employees, SaaS verticals"].

My product: [what you sell]
My ICP: [company size, industry, tech stack, role targeted]
Territory data available: [CRM export / Apollo list / LinkedIn Sales Navigator export / manual list]

[PASTE ACCOUNT LIST OR DATA]

Analyse:

## 1. Coverage summary
- Total accounts in territory: [N]
- Accounts contacted at least once: [N] ([%])
- Accounts never contacted: [N] — these are the whitespace
- Accounts in active sequence: [N]
- Accounts with open opportunities: [N]
- Accounts closed-won: [N]
- Accounts closed-lost: [N] → eligible for re-engagement in [X months]?

## 2. ICP density by segment
Break down accounts by:
- Company size bucket (50-200 / 200-500 / 500-1000 / 1000+)
- Industry vertical
- Geography (country/region)
Identify: which segment has the highest ICP density AND lowest coverage = priority whitespace

## 3. Trigger signal concentration
Which segment has the most accounts with active triggers right now?
(Funding, exec hires, product launches, hiring surges)
These are your highest-probability targets this month.

## 4. Priority account list
Top 25 accounts to focus on this quarter:
Ranked by: ICP score × trigger recency × contact accessibility
| Rank | Account | ICP Score | Trigger | Last Contact | Priority |
|---|---|---|---|---|---|

## 5. Territory gaps
- Segments you're underpenetrated in
- Industries with no coverage
- Geographies with accounts but no outreach
- Roles you haven't targeted (only emailing VP Sales but not CTO)

## 6. Recommended weekly cadence
Based on territory size and pipeline targets:
- Accounts to research per day: [N]
- New outreach to start per week: [N]
- Follow-ups per day: [N]
- Calls per day target: [N]

ICP density mapping prompt

Map ICP density across my target market.

ICP definition:
- Industry: [list]
- Company size: [X-Y employees]
- Geography: [region/country]
- Tech stack signals: [tools that indicate fit]
- Roles to target: [titles]

Data source: [Apollo export / LinkedIn Sales Nav / CRM / manual]

[PASTE DATA]

Output:
1. Heat map by segment — where is ICP density highest?
2. Underserved segments — high ICP density, low existing coverage
3. Oversaturated segments — high competition, diminishing returns
4. Recommended: where to allocate 80% of outreach effort this quarter

Whitespace identification prompt

Identify whitespace in my territory.

[PASTE CRM EXPORT OR ACCOUNT LIST]
[PASTE ACCOUNTS ALREADY TOUCHED IN LAST 6 MONTHS]

Whitespace = accounts that:
1. Match ICP criteria
2. Have NOT been contacted in the last 6 months
3. Have at least one active trigger signal (funding, hiring, exec hire)

Output:
- Total whitespace accounts: [N]
- Top 20 whitespace accounts ranked by ICP score + trigger recency
- How to approach: cold, warm (mutual connection), or research-first

Territory plan document (for manager review)

Write a quarterly territory plan for Q[X] [YEAR].

Territory: [definition]
SDR/AE: [name]
Quota: [$ or meeting target]
Previous quarter performance: [attainment %]

Generate:

## Territory Overview
[1 paragraph — what the territory is and why it's a good market]

## ICP Analysis
[Which companies in territory are best fit and why]

## Top Accounts (Priority 1)
[Top 10 accounts — why each is a priority, trigger signal, contact strategy]

## Coverage Plan
[Weekly activity breakdown — research, new outreach, follow-ups, calls]

## Pipeline Projection
[Expected meetings booked, conversion to pipeline, projected revenue contribution]

## Resource Needs
[What support is needed — marketing campaigns, content, introductions, tools]

## Risks and Mitigations
[What could go wrong and the contingency]

Account scoring model for territory prioritisation

interface TerritoryAccount {
  company: string
  employees: number
  industry: string
  techStack: string[]
  lastContactedDaysAgo: number | null
  triggerSignals: TriggerSignal[]
  linkedInConnections: number // 2nd-degree connections
  crmStatus: 'never_contacted' | 'in_sequence' | 'opportunity' | 'closed_lost' | 'closed_won'
}

function scoreTerritoryAccount(account: TerritoryAccount, icp: ICPCriteria): number {
  let score = 0

  // ICP fit (50 points)
  score += scoreCompanySize(account.employees, icp.sizeRange) * 0.2    // max 20
  score += scoreIndustry(account.industry, icp.industries) * 0.15       // max 15
  score += scoreTechStack(account.techStack, icp.techStack) * 0.15     // max 15

  // Timing (30 points)
   recentTriggers = account..( t. <= )
  score += .(, recentTriggers. * )

  
  score += .(, account. * )

  
   (account. === ) {
    score +=  
  }   (account. > ) {
    score +=   
  }   (account. > ) {
    score += 
  }  {
    score -=  
  }

  
   (account. === ) score +=   
   (account. === ) score -=   

   .(, .(, score))
}

 (): [] {
   accounts
    .( ({ account, : (account, icp) }))
    .( b. - a.)
    .(, topN)
    .( account)
}

Re-engagement identification

Identify closed-lost accounts eligible for re-engagement.

[PASTE CRM EXPORT OR CLOSED-LOST LIST]

Re-engagement criteria:
- Lost the deal more than [90/180] days ago
- Lost reason is NOT: "never a fit" / "wrong company" / "opted out"
- Company has a new trigger signal since the deal closed
- OR: new decision-maker has joined since the deal closed

Output:
- Eligible accounts: [N]
- Top 10 re-engagement targets ranked by: new trigger strength + time since loss
- Suggested approach: [cold restart / warm email referencing history / new contact only]
- Subject line suggestion for re-engagement email

Example

User: Territory planning Q3. I have EMEA mid-market SaaS, 200-1000 employees. My CRM export shows 847 accounts, only 312 have been contacted in the last 6 months. Help me prioritise.

Output:

Coverage summary:

• 847 total accounts | 312 touched (37%) | 535 whitespace accounts (63%)
• Active sequences: 89 accounts
• Open opportunities: 23 accounts
• Closed-lost eligible for re-engagement: 67 accounts (lost 90+ days ago with new triggers)

Priority breakdown:

• Priority 1 (ICP score 80+, recent trigger): 48 accounts → 100% of outreach Week 1-2
• Priority 2 (ICP score 60-79, no trigger): 127 accounts → outreach Week 3-6
• Priority 3 (ICP score 40-59): 360 accounts → low-touch sequence only
• Deprioritise (<40 score): 312 accounts → exclude this quarter

Whitespace hot zone: UK-based FinTech (100-500 employees) — 34 uncontacted accounts with high ICP density, 12 with funding triggers in last 60 days. This is your Q3 sprint target.

Weekly plan:

• Mon-Tue: 8 new accounts researched + sequence started
• Wed-Thu: 15 follow-ups + 20 calls
• Fri: Pipeline review + next week prep
• Target: 12 new meetings booked / month → 36 meetings / quarter

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