Sales Territory Assignment: How to Stop Giving Your Best Reps Garbage Accounts

You have 5 AEs and 150 accounts. You decide to divide them evenly: 30 accounts per AE.

This seems fair. It's also backwards.

Two of your AEs are now managing 30 accounts worth £2M in ARR (great accounts, large companies). The other three are managing 30 accounts worth £500K in ARR (small companies, little potential).

The AEs with good territories are happy. The AEs with bad territories are going to quit, because no matter how hard they work, they'll never hit quota.

This is a recurring problem at Series A-B SaaS companies. And it destroys morale, forecast accuracy, and rep retention.

Why Territory Assignment Matters

Territory assignment isn't just about fairness. It's about setting your reps up to succeed at quota.

When territories are poorly assigned:

• Some AEs work really hard and hit 80% quota because their accounts have no growth potential
• Other AEs work less hard and hit 120% quota because their accounts are all enterprise
• You can't tell who's a good performer and who's a bad performer
• Your forecast is unreliable because "AE capability" is confounded with "territory quality"

When territories are well-assigned:

• Every AE has a realistic path to 100% quota
• You can assess AE performance without territory bias
• Your forecast is reliable because territory quality is normalized

The Three Dimensions of Territory Assignment

Territory assignment isn't one decision. It's three:

1. Geography or vertical assignment (who manages which customer segment).

You might assign by geography (AE 1 manages East Coast, AE 2 manages West Coast). Or by industry (AE 1 manages SaaS customers, AE 2 manages fintech). Or by company size (AE 1 manages £1–5M ARR, AE 2 manages £5–20M ARR).

This is mostly about specialization. You want AEs to develop deep expertise in their segment.

2. Account assignment (which specific customers fall into each territory).

Once you've defined territory boundaries, you assign accounts. This is where fairness actually matters.

3. Quota assignment (what each AE is expected to close this year).

Quota should flow from the accounts assigned, not be set arbitrarily.

The Right Way to Assign Territories

Start with your accounts, not your people.

Step 1: Segment your account base.

Pull all active customers and prospects. Segment them:

• By size (ARR, employee count)
• By industry or vertical
• By geography (if you serve multiple regions)
• By growth potential (are they likely to expand, or are they stable?)

Example segments for a £3M ARR SaaS company:

• High-potential: £1–5M ARR, Series A-B, in-market today, fit ICP perfectly (80 accounts)
• Core potential: £5–15M ARR, Series B-C, stable, fit ICP well (40 accounts)
• Maintenance: £100K–1M ARR, existing customers, low growth (30 accounts)

Step 2: Assign accounts proportional to territory size goals.

If you want each AE to manage 30 accounts and close £2M in quota:

• Option A: assign each AE 80 high-potential accounts (they should close £2M if they execute well)
• Option B: assign each AE 80 high-potential + 10 core-potential accounts (mixed bag, expected close is still £2M)
• Option C: assign each AE 25 core-potential + 5 maintenance accounts (all different risk profile, expected close is £2M)

None of these is objectively "right." But they all allow each AE to hit £2M quota if they execute.

Step 3: Set quota based on account potential, not headcount.

Don't divide your target revenue by your number of AEs. That's a guess.

Calculate quota from accounts:

• High-potential accounts: expect to close 20% this year = 80 × 20% = 16 closable accounts
• At £25K average deal size = £400K per high-potential segment
• Core-potential accounts: expect to close 8% = 40 × 8% = 3.2 accounts = £80K
• Maintenance accounts: expect to close 2% = 30 × 2% = 0.6 accounts = £15K
• Total quota for this AE: £495K (round to £500K)

Now all five AEs have the same quota (£500K) and the same expected workload (30 accounts per AE) because the accounts themselves are balanced.

Step 4: Rebalance quarterly.

As the year progresses, accounts move. High-potential accounts that you lost don't need to be managed. Low-potential accounts that converted to high-potential need to be accounted for.

Every quarter, rebalance: are all AEs still managing similar account quality? If not, move accounts around.

The Fairness vs. Performance Problem

Here's the hard part: when you assign accounts fairly, some AEs will say it's not fair because they have a "harder" territory.

Example: You assign high-potential accounts (easier to close, higher deal size) to some AEs. You assign maintenance accounts (harder to close, smaller deal size) to others.

The AEs with maintenance accounts will complain. "My quota is the same but my accounts are harder."

The answer is: "Quota reflects expected performance. You have 30 accounts at 2% close rate (600 in annual quota). If you exceed that, you're outperforming."

But you need to be transparent about why the quota is the same: the accounts are different quality. The expected revenue is the same.

Most importantly: revisit this conversation with data. If the AE with "harder" accounts is consistently hitting above-quota performance, their accounts might not be as hard as they think. Or they might be exceptionally good. Either way, the data should inform the conversation.

What This Enables

When territories are assigned fairly:

• Forecast accuracy improves: you're not trying to figure out whether an AE's success is due to territory or capability
• Hiring decisions improve: you can identify truly weak performers (missing quota despite good territory) vs. territory-constrained performers
• Retention improves: AEs don't feel like they're fighting an unfair territory. They know they have a reasonable path to quota.
• Quota credibility improves: when quota is set from account potential, not from revenue targets, AEs believe it's achievable

Next Steps

Pull your current account list and AE territory assignments. Segment accounts by growth potential.

Then calculate: what's the expected revenue from each AE's territory based on account potential and historical close rates?

Compare that to actual quotas. Big gap means territories are imbalanced or quotas are wrong.

That gap is your lever.