3
Foundational coverage models
40%
Of tech companies using consumption pricing
<15%
Win rate variance target across territories
Three Coverage Models Compared
Plan Language
Hunter Role Coverage Assignment
Participants designated as New Business Representatives shall be assigned a defined territory consisting of [GEOGRAPHY / NAMED ACCOUNTS / INDUSTRY VERTICAL]. The Participant is responsible for all net-new logo acquisition within the assigned territory. Revenue from accounts classified as existing customers (active contract within the prior 24 months) shall not credit the Participant's quota. Territory boundaries are maintained in the Territory Assignment Table and may be adjusted quarterly per the Sales Operations review cadence.
Farmer Role Coverage Assignment
Participants designated as Account Managers shall be assigned a book of business consisting of [NUMBER] existing accounts with aggregate annual recurring revenue of $[AMOUNT]. The Participant is responsible for gross retention, expansion revenue, and renewal execution within the assigned book. Net-new logo revenue shall not credit the Participant's quota unless the account was specifically reassigned via the Territory Exception Process. Book assignments are reviewed semi-annually.
Rancher (Full Lifecycle) Coverage
Participants designated as Account Executives — Full Lifecycle shall own the complete customer journey from initial prospecting through renewal and expansion. The Participant's quota comprises: (a) Net New ARR from prospecting within the assigned territory, and (b) Expansion and Renewal ARR from existing customers in the assigned book. Quota targets are set independently for acquisition and expansion components. This coverage model is designed for consumption-based revenue where expansion is continuous rather than event-driven.
Formulas & Calculations
Territory Balance Score
// Assess whether territories are balanced FOR EACH territory: POTENTIAL = TOTAL_ADDRESSABLE_MARKET QUOTA = ASSIGNED_QUOTA COVERAGE_RATIO = ACCOUNTS_TOUCHED / TOTAL_ACCOUNTS // Balance metrics QUOTA_CV = STD_DEV(QUOTAS) / MEAN(QUOTAS) WIN_RATE_RANGE = MAX(WIN_RATES) - MIN(WIN_RATES) ATTAINMENT_CV = STD_DEV(ATTAINMENTS) / MEAN(ATTAINMENTS) // Targets: // QUOTA_CV < 0.20 (quotas within 20% of each other) // WIN_RATE_RANGE < 0.15 (win rates within 15 points) // ATTAINMENT_CV < 0.15 (attainment distribution is tight)
Coverage Capacity Model
// How many reps do we need for a territory? TOTAL_ACCOUNTS = ADDRESSABLE_MARKET TOUCH_FREQUENCY = CALLS_PER_ACCOUNT_PER_QUARTER REP_CAPACITY = CALLS_PER_REP_PER_QUARTER MIN_REPS = (TOTAL_ACCOUNTS * TOUCH_FREQUENCY) / REP_CAPACITY // Adjust for: // - Travel time (field) vs zero (inside) // - Account complexity (enterprise = fewer per rep) // - Ramp time for new hires (first 90 days at 50% capacity)
Scenarios
Well-Designed Coverage Model
SaaS company splits 120 reps into dedicated Hunter (AEs) and Farmer (CSMs) roles at the 5-rep threshold. Hunters carry 50/50 pay mix with 100% NNA weight and progressive accelerators. Farmers carry 75/25 mix with 80% gross retention / 20% net expansion. Clear handoff: customer transitions to Farmer at contract signature. Win rate variance across AE territories: 12% (well-balanced). CSM retention rate: 94%. The split costs $400K more in headcount than blended roles but generates $2.1M more in net-new revenue.
Poorly-Designed Coverage Model
Company keeps blended hunter-farmer roles ('we can't afford the headcount split'). Each rep is responsible for both acquiring new logos and retaining a 40-account book. Result: reps default to farming because renewals are easier dollars-per-hour than prospecting. New logo acquisition drops 35% year-over-year. Top hunters leave because their commission on autopilot renewals is diluting their new-business earnings. The company saves $400K in headcount but loses $1.8M in new ARR growth.
Comparison
Implementation Checklist
AI Prompt Template
Copy & paste into your AI assistant
You are a sales compensation analyst. I need to evaluate our sales coverage model and determine if we should split, merge, or restructure rep roles. Context: - Current model: [BLENDED / HUNTER-FARMER / RANCHER / OTHER] - Total reps: [NUMBER] - Revenue split: [% NEW vs % RENEWAL vs % EXPANSION] - Average deal cycle: [WEEKS/MONTHS for new vs renewal] - Pricing model: [SUBSCRIPTION / CONSUMPTION / ONE-TIME] Please: 1. Assess whether the current model fits the go-to-market motion 2. Model the headcount and cost impact of splitting or merging roles 3. Recommend pay mix, leverage, and quota-to-OTE ratios for each role type 4. Design the handoff/transition process between coverage roles 5. Identify territory balance metrics to track monthly 6. Flag risks specific to the recommended model