Target account selling: how to pick, plan and win a short list of accounts

This page is for account executives, sales leaders and founders selling to mid-sized and large companies, where each customer is worth enough to justify weeks of work before the first meeting. It explains where target account selling came from, how to choose and size the list, what goes into an account plan, and how to run and review the program. The worked example follows a freight broker choosing and planning its accounts.

What target account selling means

The phrase has two meanings. In the general sense, target account selling is any approach where reps focus on a fixed list of named accounts. In the narrower sense, Target Account Selling (TAS) is a branded methodology that has been sold and taught since at least the 1990s.

That branded method belonged to OnTarget, an Atlanta sales consulting and training firm. Siebel Systems, the CRM vendor, had built OnTarget's target account selling methodology into its software from 1996 and agreed to buy the firm for $259 million in stock in November 1999. After Oracle bought Siebel, it sold most of OnTarget's assets in 2006 to Select Selling, which renamed itself The TAS Group; TAS stands for Target Account Selling. Trade coverage at the time described TAS as "a structured and repeatable process for analyzing, pursuing, and winning sales opportunities". Some sources trace the method back to the 1980s; we couldn't confirm the founder or founding date in a primary source, so we don't name them.

This page covers the general practice, using the ideas the branded method made common: select accounts deliberately, analyze each one, plan the pursuit, and manage each opportunity.

Target account selling vs other approaches

TAS and account-based marketing work best together: the same list, with marketing creating familiarity and sales running the pursuit.

The six steps

1. Select the accounts. Score candidates on fit, need signals, access and value, and pick the top of the list.
2. Size the list to capacity. Each account needs time every month. More accounts than a rep can work is just a longer lead list.
3. Research and map each account. Who is in the buying group, what's changing at the company, and how they buy today.
4. Write the account plan. Entry point, value hypothesis, stakeholders and the next 90 days of actions.
5. Engage several stakeholders. Reach at least three roles, so the deal doesn't depend on one person.
6. Review and rotate quarterly. Accounts that stall for a quarter with no new signal make way for ones that have one.

Step 1: score and select

Write the criteria down and weight them, so the list reflects your strategy rather than whoever shouts loudest. A simple model has five criteria scored 1 to 5:

Account:                          Scored by:          Date:

FIT (weight 30%): size, industry, footprint match our best customers   1 2 3 4 5
NEED SIGNAL (20%): a trigger in the last 6 months (new site, new leader,
  hiring, a known problem)                                            1 2 3 4 5
CAPABILITY MATCH (25%): what they need is where we're strongest       1 2 3 4 5
ACCESS (15%): a known contact, referral, past relationship            1 2 3 4 5
STRATEGIC VALUE (10%): reference value, expansion potential           1 2 3 4 5

WEIGHTED SCORE = 0.30F + 0.20N + 0.25C + 0.15A + 0.10S = ____ of 5
Evidence for each score (source and date):

Score from evidence, not impressions, and write the source next to each number. The need-signal score should decay: a new facility from two years ago is history. If you need help defining fit, start with an ideal customer profile.

Step 2: size the list to the rep

The number of target accounts per rep is arithmetic, not a convention. Illustrative numbers: a rep with 100 hours a month for target-account work, where each account needs about 3 hours a month (refreshing research, multi-threaded outreach, meetings and internal planning), can cover about 33 accounts (100 ÷ 3). Round down to 30 to leave room for live opportunities, which take far more time than accounts still being opened.

Check the list is worth that time. If an average target account is worth $30,000 a year in gross margin when won, and a rep can realistically win 5 of 30 in a year, each account is worth about $5,000 a year in expectation ($30,000 × 5 ÷ 30). At 36 hours a year per account, that's about $139 of expected margin per hour. If the figure is too low to justify the effort, you need bigger accounts, a better win rate, or volume outbound instead.

Steps 3 and 4: map the account and write the plan

For each account, map the buying group before you reach out. Most B2B purchases involve several roles: the economic buyer, the day-to-day owner, the people who use the result, procurement, and anyone who can block. The account research guide covers where to find each of these facts.

ACCOUNT: [name, website]     OWNER: [rep]     REVIEWED: [date]
SCORE: [x.x of 5]  WHY THIS ACCOUNT: [the two or three facts that put it on the list]

WHAT'S CHANGING (with sources and dates):
1.
2.

BUYING GROUP:
Economic buyer:           Status: [unknown / identified / engaged]
Day-to-day owner:         Status:
Users / affected teams:   Status:
Procurement / blockers:   Status:

ENTRY POINT: [who first, and why they'll care now]
VALUE HYPOTHESIS: [the problem we think they have, what it costs, and how
we'd fix it, in one or two sentences, to test, not to pitch]

COMPETITION / STATUS QUO: [who they use today and what's good about it]

NEXT 90 DAYS:
Action | Owner | Date | Done?

EXIT RULE: [what would make us take this account off the list]

The value hypothesis is a guess you'll test in the first conversations. Write it so it can be wrong.

Steps 5 and 6: engage and review

Reach several roles in parallel, each with a message about what matters to them, and coordinate so the account hears one consistent story. Track coverage by role, not activity: "three roles engaged, economic buyer identified" says more than "42 touches".

Once an account turns into a live opportunity, qualify it with a framework built for buying groups, such as MEDDPICC, which checks the economic buyer, decision process, paper process and champion.

Every quarter, review the list with your manager:

Worked example: a freight broker picks its accounts

Illustrative example. Bluewater Freight Partners, the shippers, the people and every figure are fictional, to show the method.

The seller: Bluewater Freight Partners (bluewaterfreight.example), a regional freight broker in the Southeast with four account executives. Its strongest lanes run between Atlanta, Charlotte, Nashville and Jacksonville.

Selecting. The team started with 620 manufacturers and distributors that ship full truckloads in its region. Filtering for size (50 to 1,000 employees) and a facility within 50 miles of its strong lanes left 310. They scored all 310. Three of the scorecards:

Larkspur: 0.30 × 5 + 0.20 × 5 + 0.25 × 4 + 0.15 × 2 + 0.10 × 3 = 1.5 + 1.0 + 1.0 + 0.3 + 0.3 = 4.10. With four reps at 30 accounts each, the top 120 of the 310 made the list, and the cut-off fell at 3.40. Larkspur and Delmont made it; Ashby, despite its strategic value, didn't, and went to the marketing team's nurture list.

Planning Larkspur. The rep's plan, after research:

Result after one quarter. The DC general manager confirmed the spot problem and introduced the transportation manager, who invited Bluewater into the spring bid for six lanes. Across the four reps, 120 accounts produced 31 accounts with two or more roles engaged and 14 live opportunities; 38 accounts with no engagement and no new signal were rotated out for the next 38 on the score list.

When target account selling fits and when it doesn't

It fits when deals are large enough to justify hours of work per account, buying groups are complex, the universe of good buyers is finite and known, and wins come with expansion potential.

It's a poor fit when deal sizes are small, the market is huge and fragmented, or buyers come to you through inbound and self-serve. In those cases, the research per account can't pay for itself. Many teams run both: target accounts for the largest prospects, volume motions for the rest.

Common mistakes

• Too many accounts. A "target list" of 200 per rep is a territory. Size the list to capacity.
• Picking by logo. Famous names often score low on need and access. Use the scorecard.
• Single-threading. One contact means one resignation can end the pursuit.
• A plan written once. Update the plan when something changes at the account, and review it quarterly.
• No exit rule. Accounts that never engage keep their seat for years unless you decide in advance when they leave.

Research is the cost that limits how many accounts a rep can carry. Bebop finds companies that match a plain-language description of your best customers, explains why each fits, and researches each account with a playbook covering the people to talk to, what's happening and the angle to open with. That cuts the hours per account, so the same rep can work a properly researched list.

Next step: before you score a single account, write down what makes a good one with the ideal customer profile template.