Sales Territory Planning: How to Size and Balance Territories With Real Account Counts (Free Template)

Publish date: Oct 29, 2026
Sales territory planning is the work of deciding which accounts each rep owns. Done well, every rep carries a workload the team can defend with numbers.
The method on this page has three moves. Count the accounts in every state. Work out how many accounts one rep can cover in a year. Then group neighboring states until every territory sits within 5% of the average.
The worked example uses Spona's count of 160,000 US managed service providers (MSPs) and IT services firms by headquarters state. Six territories built from those counts hold between 26,268 and 26,958 accounts each. The free sales territory planning template carries the state counts, the balance check and a capacity calculator, in Google Sheets or Excel.
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Why sales territories drawn by region end up unbalanced
Many teams draw territories along the regions everyone already knows. The result looks fair and is not. Spona's market-sizing output for one customer split the US MSP market into the four Census regions:
| Region | Accounts | Verified contacts |
| Northeast | 32,285 | 79,846 |
| Midwest | 26,635 | 58,025 |
| South | 59,380 | 137,331 |
| West | 41,700 | 104,798 |
One rep per region gives the Midwest rep 26,635 accounts and the South rep 59,380. That is a 2.2 times gap between two people on the same quota plan. Nobody chose the gap. The map did.
The pattern is common. ZS Associates evaluated 4,800 sales territories at 18 large sales forces in four industries. A quarter had too much work for one rep to handle well. Another 31% had too little to keep a rep fully busy.
ZS found that balancing those territories would lift revenue by 2 to 7 percent a year. According to an INFORMS release, ZS had designed an estimated 500,000 sales territories with those methods. A Kellogg paper by ZS co-founder Andris Zoltners and Sally Lorimer says many sales forces lose millions a year to territory imbalance.
What is a sales territory plan? Accounts, capacity, boundaries, quota
A sales territory is the set of accounts one rep owns. A boundary defines it: a geography, a company size band, an industry, or a mix of them. A sales territory plan is the document that lists those boundaries. For each one it records the accounts inside, the rep's capacity and the quota it carries.
Territory planning is the work of making those four parts agree:
- Accounts. How many companies that fit your ICP sit inside each boundary, and how many people you can reach there.
- Capacity. How many accounts one rep can work properly in a year.
- Boundaries. Lines that make territories exclusive and exhaustive: no account has two owners, and none has zero.
- Quota. Each territory's share of the team number, in proportion to its share of accounts.
Geography is the usual first cut because it is cheap to count and easy to explain. Salesforce lists four factors behind its own segmentation: region, company size, industry and customer lifecycle. The arithmetic below works for any of them. Only the unit changes: a state, a size band or a vertical.
How to create a sales territory plan in six steps
Step 1: Count ICP accounts by state
Start with your ideal customer profile, then count the companies that match it, once each, at their headquarters. Companies, not contacts: a territory owns accounts, and contacts come later. Your CRM is the first source, but it holds the past: customers, open deals and whoever a rep once imported.
Market-wide counts come from a data provider or from public registers. The TAM, SAM, SOM guide walks through the public route with Census data.
Spona's count for US MSPs and IT services is 160,000 companies with 380,000 verified contacts, by headquarters state. Branch offices do not count; each company sits once, in one state. The table holds the filter and the spread between states. That spread is the reason regions fail:
| What Spona's state counts show | Figure |
| ICP filter | NAICS 541512, 541513 and 541519, plus evidence of managed IT, IT support or systems integration work |
| Share of companies in the five largest states (CA, TX, FL, NY, NJ) | 40.8% |
| States that together hold half of all companies | 8 |
| Jurisdictions with fewer than 1,000 companies | 16 of 51 |
| Largest state against the smallest (CA against AK) | 21,125 against 276, a 76.5 times gap |
The same step works in other countries. The ONS counts 2.79 million VAT or PAYE registered businesses in the UK. Professional, scientific and technical firms make up 15.3% of them.
Spona's count of UK MSPs and IT services is 55,000 companies with 120,000 verified contacts. Two UK reps would start near 27,500 accounts each, by simple division, before any regional cut.
Step 2: Size rep capacity in accounts a year
A territory of 26,000 accounts is not a to-do list. Salesforce's State of Sales survey of more than 7,700 sales professionals found that reps spend 28% of their week selling. Put that into a year with your own inputs:
| Capacity input or result | Example |
| Working days a year | 220 |
| Working hours a day | 8 |
| Share of time spent selling | 28% |
| Selling hours a year | 493 |
| Hours one account needs a year | 2 |
| Accounts one rep can work a year | 246 |
Six reps at that pace work 1,476 accounts a year. That is 0.92% of the market. Covering every one of the 160,000 companies once would take 651 reps. The days, hours and hours per account are example inputs in the template, not benchmarks, so replace them with your own.
The point of the step is the ratio. Capacity tells you how deep a rep can go. So the plan has to say which accounts in a territory come first.
Step 3: Set a target per territory and a tolerance
The target is the total divided by the number of reps. For six reps the target is 26,667 accounts, or 63,333 verified contacts. No real split hits it exactly, because states come in lumps, so you set a tolerance.
The template's setting is plus or minus 5%. For this example, that is a band of 25,333 to 28,000 accounts. The 5% is a setting for this sheet, not a benchmark. A field team that also has to balance travel time may need a wider band.
The check is one ratio. Balance index = a territory's accounts divided by the target. Above 1.05 reads Over, below 0.95 reads Under, and anything between reads Balanced.
Step 4: Group neighboring states until every index fits
This is the step people call territory alignment or sales territory design. Start with the biggest states as anchors. California alone holds 21,125 companies, 79% of one target, so it anchors a territory of its own. Texas, Florida and New York anchor three more.
Then add neighboring states to each anchor until the index lands inside the band. When a territory goes Over, move a border state to the Under neighbor and read the index again.
The size of the territories tells the story. The Pacific West needs four states. The North and Mountain territory needs 15, from Illinois to Alaska, to reach the same count. Alaska joins Washington's territory and Hawaii joins California's, because neither borders another state by land.

Step 5: Check verified contacts, not just accounts
Equal accounts do not mean equal reachable people. In Spona's state counts, a company has 2.11 to 2.70 verified contacts, depending on the state. Dense states such as California and New York sit at the top.
So the six territories balanced on accounts carry different contact volumes. The contacts index runs from 0.921 in the Southeast to 1.083 in the Northeast. The Northeast rep has about 18% more reachable people than the Southeast rep.
Decide what matters. A field team that visits accounts balances on companies; an email-led team balances on contacts, or on both. The template has a Weight column on the States tab for that. Weight a state by its contacts per company, or by anything else you can count, and the index follows.
A split balanced on both measures keeps every territory between 0.947 and 1.050 on accounts. On contacts it stays between 0.958 and 1.039.
Step 6: Assign reps, then split quota by share
Quota follows the accounts. Each territory's quota is the team quota multiplied by the territory's share of accounts. Six balanced territories carry close to one sixth each.
Assign reps last, by location and experience, and keep the rep labels generic until the plan has sign-off. A plan with names on it turns into a negotiation about people instead of a check of numbers.
Write the plan down as one row per territory: the number of states, the accounts, the contacts, the rep and the quota share. That is the Territories tab of the template. Tie it to your pipeline targets. The B2B sales pipeline you can expect from a territory depends on the accounts inside it, not on the rep's optimism.
Sales territory plan example: 160,000 US MSPs across six reps
Here is the six-territory split built from Spona's state counts, with the index for accounts and for verified contacts:
| Territory | States | Companies | Verified contacts | Balance index | Contacts index |
| Northeast | 8 | 26,958 | 68,592 | 1.011 | 1.083 |
| Southeast | 6 | 26,911 | 58,341 | 1.009 | 0.921 |
| Mid-Atlantic and Great Lakes | 9 | 26,866 | 62,820 | 1.007 | 0.992 |
| South Central | 9 | 26,636 | 61,820 | 0.999 | 0.976 |
| Pacific West | 4 | 26,361 | 68,143 | 0.989 | 1.076 |
| North and Mountain | 15 | 26,268 | 60,284 | 0.985 | 0.952 |
The largest territory holds 1.03 times the accounts of the smallest. Now put the same six reps on the four Census regions, two each in the South and the West. The per-rep count runs from 20,850 to 32,285. That is a 1.55 times gap, and three of the four regions sit outside the 5% band.

One Spona customer, a US MSP with 45 staff, allocated 6,000 contacts to its reps using state-level market counts. Before the change, 18 of 3,000 delivered emails led to a meeting. After it, 27 of 3,000 did, over four weeks each. That is 0.60% then 0.90%: one team, two windows, a descriptive result and not proof that the re-cut caused the rise.
Free sales territory planning template: five tabs
The sales territory plan template is a Google Sheet with an Excel download, and no form in front of it. Choose File, then Make a copy, or File, then Download. It has five tabs:
| Tab | What it answers | What you change |
| Start | How do I use this in 15 minutes? | Nothing |
| States | Where are the accounts, and who owns each state? | The counts, the territory for each state, an optional weight |
| Territories | Is every territory within tolerance, and what quota share does each carry? | Territory names, reps, tolerance, team quota |
| Regions | What if we split by Census region instead? | Reps per region |
| Capacity | How many accounts can one rep work in a year? | Days, hours, selling share, hours per account |
The formulas are plain SUMIF, COUNTIF and VLOOKUP. The sheet works in Google Sheets, Excel and LibreOffice with no scripts. Yellow cells are yours, green cells hold Spona's counts, white cells are formulas.
To plan your own market, paste your counts per state over the green columns and pick a territory for every state. The Status column turns red, amber or green as you move states. The tolerance and the capacity inputs are the sheet's settings, not benchmarks. Set your own before you share the plan.
Several guides that rank for sales territory planning come without a file. Qobra's guide promises territory plan templates and Cognism's promises examples; neither offers a sheet to copy.
Sales territory mapping: draw the map after you count
Salesforce defines sales territory mapping as "the process of defining the area, sales and revenue that your reps are responsible for targeting". In practice, mapping is the picture and planning is the arithmetic. Draw the map last, once the counts say where the lines go. Drawn first, a map looks balanced while the workload is not.
The free route is Google My Maps. It imports a CSV, an XLSX or a Google Sheet of up to 2,000 rows. It places each row by its address or place name, and you can style the markers by a column.
My Maps reads column titles from the first row, so copy the States table from its header row down into a new file. Import that file, place the rows by state name and colour them by the Territory column. The map then matches the sheet. A ZIP-level file breaks the row limit fast, so leave ZIP codes to a paid tool.
Paid mapping tools add drive times, routes and shaded shapes for ZIP codes and counties. A roundup of territory planning software names Salesforce Maps, Maptive, eSpatial, Badger Maps, Geopointe, Anaplan, Xactly AlignStar, Varicent and Fullcast. Pick one when reps drive to accounts and travel time has to balance too. An inside sales team rarely needs more than the sheet and a free map.
Sales territory planning best practices: when to rebalance
A territory plan is a picture of counts that move. Three events should trigger a check:
- A rep leaves or joins. With five reps instead of six, the target jumps to 32,000 and every existing territory reads Under at once. For a vacant territory, Selling Power describes one company that runs what-if scenarios before it acts. It weighs hiring a new rep, redistributing the territory or letting neighboring reps absorb it.
- An index drifts past the tolerance. Refresh the counts and read the Status column. A fast-growing state can push a Balanced territory Over without anyone touching the plan.
- The ICP changes. New size bands or new verticals change every count, so the whole plan gets rebuilt, not patched.
Between those events, a yearly redesign with a quarterly check of the indexes is enough for most teams. That cadence is our suggestion, not a researched rule.
Two more habits keep the plan honest. Never move an account out of a territory while a deal is open in it. And write down who owns a company that appears after the plan: the owner of its headquarters state, unless the plan says otherwise.
Where Spona fits in sales territory planning, and where it does not
Spona supplies the counts and the contacts, which is step 1 and step 5 of this method. You describe your ideal customer in a chat. The AI mines 40+ sources, verifies every lead and delivers a scored list in about 4 minutes.
Each new search session costs a one-time 1,000 credits. That is $8 to $10, depending on the plan. It covers the AI analysis and the market mapping for your segment. The region counts above came out of that market mapping.
After that you pay per lead, and the price shows at checkout before you buy:
| Search type | Price per lead | Built for |
| Bulk Search | $0.008 to $0.09 | Basic filters, large volumes for broad email or LinkedIn outreach |
| Standard Search, email only | $0.024 to $0.07 | Company and person filters, targeted email outreach |
| Deep Search | $0.48 to $2.00 | Scored, verified and enriched in real time, for highly targeted outreach |
Every search starts with a free sample. The Free plan carries 3,000 one-time credits, and the pricing page lists each plan. Signal filters for funding, hiring and technology work on Pro and above. They narrow a territory's accounts to the ones that show one of those signals.
Where it does not fit: Spona does not draw maps, assign territories, set quotas or route reps; the sheet and a mapping tool do that. Its counts are by headquarters, so a company with branches in ten states counts once, in one state. The HubSpot integration is the only native CRM integration; other CRMs take the CSV export, which every paid plan includes.
For the build-or-buy question on the data itself, read the B2B contact database guide. For turning a territory's accounts into a working list, read the lead list guide.
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Sales territory planning FAQ
What are the three types of sales territories?
Geographic, account-based and industry-based. A geographic territory owns every ICP company inside a boundary, such as the state groups in this guide. An account-based territory owns a named list or a size band, wherever the companies sit, and an industry territory owns one or more verticals. Most teams combine them: geography first, then a size tier or a vertical inside it.
What is the best software for sales territory planning?
It depends on whether your reps travel. For counting and balancing, a spreadsheet like the template on this page does the job, with SUMIF and a ratio. For drawing boundaries, drive times and routes, use a mapping tool such as Salesforce Maps, Maptive, eSpatial or Badger Maps. Territory features inside a CRM help when assignment rules must run on every new record without a person in the loop.
How do I use CRM data for territory planning?
Export your accounts with their headquarters state and current owner, remove duplicates, and count accounts by state. Compare that count with a market-wide count to see the white space each territory holds: the companies you have never touched. Missing or wrong state fields are the usual problem, and CRM data enrichment fixes them before you count. Then assign a territory to every account by the same rule the plan uses for new ones.
How many accounts should a sales rep have?
As many as the rep can work in a year: selling hours divided by the hours one account needs. The Capacity tab of the template works that out from your own inputs. The answer is usually far below the number of accounts in the territory, so the plan also has to rank accounts inside each one. Measure capacity in accounts worked, not accounts owned.
What is a territory business plan?
A territory business plan is a rep's own document for one territory. It covers the target, the top accounts, the cadence of calls and emails, and the first three months. It sits one level below the sales territory plan described here, which the sales lead owns and which decides what each territory contains. Build the territory plan first, so each rep's business plan starts from a real account count.
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