UitbreidenOS 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-brieffor that - Full RevOps forecasting — use
/revenue-operationsfor pipeline metrics - Customer segmentation for CS — different function and signals
- TAM/SAM/SOM for investor decks — use
/pitch-deckfor 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)
const recentTriggers = account.triggerSignals.filter(t => t.recencyDays <= 90)
score += Math.min(30, recentTriggers.length * 10)
// Accessibility (10 points)
score += Math.min(10, account.linkedInConnections * 2)
// Contact recency penalty (10 points)
if (account.lastContactedDaysAgo === null) {
score += 10 // Never contacted — fresh territory = bonus
} else if (account.lastContactedDaysAgo > 180) {
score += 7 // Eligible for re-engagement
} else if (account.lastContactedDaysAgo > 90) {
score += 3
} else {
score -= 10 // Recently contacted — reduce priority
}
// CRM status adjustment
if (account.crmStatus === 'closed_lost') score += 5 // Can re-engage
if (account.crmStatus === 'closed_won') score -= 50 // Never cold outreach existing customers
return Math.max(0, Math.min(100, score))
}
function buildTerritoryPriorityList(
accounts: TerritoryAccount[],
icp: ICPCriteria,
topN: number = 25
): TerritoryAccount[] {
return accounts
.map(account => ({ account, score: scoreTerritoryAccount(account, icp) }))
.sort((a, b) => b.score - a.score)
.slice(0, topN)
.map(({ account }) => 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