The two coverage tests
Every territory plan has to pass two tests: (1) TAM coverage — are enough accounts owned by someone? and (2) capacity utilization — is the workload actually feasible? Miss the first and you're leaving pipeline on the table; miss the second and reps burn out or fake activity.
Patch size defaults
Enterprise (>$50k ACV, 6–9 mo cycle) = 20–40 named accounts. Mid-market ($10k–$50k, 3–6 mo) = 100–200 accounts. SMB (<$10k, transactional) = 300–500 accounts with heavy inbound/PLG assist. If your ACV is enterprise but patches look SMB-sized, cadence quality is impossible.
Tiering matters more than size
A 200-account patch with 40 Tier 1s is very different from 200 undifferentiated accounts. Tier 1s get monthly executive engagement; Tier 3s get quarterly touchpoints. Without tiering, reps default to the loudest accounts, not the highest-value ones.
Related guides
Long-form playbooks on the same topic, written by the RevenueLab editorial team.
Sales Capacity Planning: Targets, Quotas, Ramp and Hiring
A monthly cohort model for sales capacity that accounts for expected attainment, ramp curves, and attrition — with a 12-month worked example and the four sanity checks that catch bad plans.
Read the guideSaaS Pricing Strategy: Per-Seat, Usage, Tiers, and the Hybrid Future
A framework for choosing a SaaS pricing model — when per-seat caps your growth, when usage-based makes revenue volatile, and how hybrid models stitch the two together.
Read the guideRevenue per Employee Benchmarks 2026: SaaS, Services, Retail, and Why Apple Hits $2.4M
2026 revenue-per-employee medians by industry from public 10-Ks and BEA — what's healthy, what's dangerous, and how to actually move the number.
Read the guideFAQ
How do I define Tier 1 vs. Tier 2?
Tier 1 = accounts with confirmed fit + high revenue potential + reachable buyers. Tier 2 = fit + potential, need discovery. Tier 3 = unqualified but in ICP.
Should SDRs be included in this calculation?
No — this models AE capacity. Model SDR capacity separately with meeting-to-opp conversion assumptions.
What if my TAM is much bigger than my headcount can cover?
That's normal for SMB / mid-market. Cover top segments named, then serve the long tail with inbound + PLG. Don't dilute reps across a 10,000-account patch.
How does patch size affect win rate?
Directly. Enterprise reps with 40 accounts and quarterly executive engagement win 25–35%; the same reps stretched to 150 accounts win 12–15% because they can't sustain executive relationships.
What are 'selling hours' really?
Time in customer-facing activity: calls, meetings, prep, follow-up, proposal work. Excludes internal meetings, admin, training. Track for a week and most reps are shocked they're at 15 hours.
How often should I rebalance territories?
Once a year at plan time, plus a mid-year check if account movements have created major imbalances (>25% patch size variance).
How this calculator is built
Independently maintained
Written by Sam Doshi and the RevenueLab editorial team. We don't sell the data feeds this tool is built on.
Sourced from primary data
Benchmarks come from public AdSense / Stripe / IRS disclosures and reader-submitted data — never third-party "$X per view" claims. Full methodology.
Last reviewed
July 2026. We re-check every figure on the platform on a rolling quarterly cycle.
Editorial standards
See our editorial policy and disclaimer. Results are estimates, not advice.