What is account scoring vs lead scoring in B2B?

A hot lead at a cold account wastes AE time. Route on the company first, then the seat.

Lead scoring grades a person. Account scoring grades the company. Most B2B stacks still route like a 2015 inbound form: one contact downloads a PDF, the score spikes, sales gets a task. That person may be curious. The company may have no budget, no problem, and no committee. In a world where deals need a buying committee, person heat without company heat is noise.

What is lead scoring?

Lead scoring assigns points to a contact based on who they are and what they did.

Fit attributes: title, seniority, department, company size if you stash it on the person. Behavior: page views, content downloads, webinar attendance, email clicks, product signups. The output is a number or a grade on that human.

Lead scoring answers: "Is this person worth a human touch?" It does not answer: "Is this company in a buying motion?"

What is account scoring?

Account scoring assigns points to the company based on firmographics, buying signals, and aggregated people activity.

Fit: industry, size, tech stack, geography, ICP match. Intent and product signals: pricing page visits from the domain, competitor comparison traffic, multiple contacts from the same company, product usage across seats, job posts that name the problem you solve. The output is a number or a grade on the account.

Account scoring answers: "Should we spend AE time on this company this week?"

Why does the split matter in B2B?

Because B2B purchases are rarely one person with a credit card.

A champion can light up every lead score rule you wrote and still work at an account that will never buy. A quiet VP of Ops at a company already comparing vendors may never fill a form. If you only score people, you chase the loud contact and miss the ready account. That is the same failure mode as treating a warm contact like a warm account.

I have watched teams celebrate "MQLs up" while AEs complain the calendar is full of tire-kickers. The score was grading interest theater, not company readiness.

How should I use both together?

Two gates. Both required before a human route.

1. Account score above your floor. The company matches ICP and shows enough signal that a deal is plausible.
2. Role fit on the contact. The person is a buyer, champion, or blocker you need, not a random researcher.

Then route. A high account score with a weak contact still gets research and multithreading. A high lead score with a low account score gets nurture or a polite pass, not an AE demo slot. Write the pass as a disqualification rule so SDRs stop debating it in Slack.

What signals belong on the account vs the lead?

Put company-level proof on the account:

• Domain traffic to pricing, docs, or competitors
• Multiple contacts engaging in the same window
• Product usage across a workspace
• Firmographic ICP match
• Public triggers like a relevant job post or funding event you actually trust

Put person-level proof on the lead:

• Title and seniority match
• Individual content path
• Meeting asks and replies
• Product actions tied to that user

If you dump every page view onto the person and never roll up to the account, you will keep routing lonely enthusiasts.

How do I keep scores from rotting?

Review against closed-won and closed-lost every month.

Ask three questions:

1. Which scored "hot" accounts never became pipeline?
2. Which closed-won accounts were scored cold the week before the first meeting?
3. Which single behavior is inflating scores without showing up in wins?

Delete vanity points. Content downloads that never predict meetings should not outrank pricing page visits from three people at the same domain. If product analytics already show retention drivers, wire those into account score the same way you treat other GTM signals.

What should I never do?

• Route to AE on lead score alone when you sell to teams
• Give webinar attendance the same weight as pricing page + product activation
• Let marketing own lead score and sales own account score with no shared definition
• Recalculate scores daily with twenty weak signals instead of a few strong ones
• Call every high-scoring contact an SQL

Score is a routing input. Discovery still confirms problem, timing, and money.

What should I do this week?

1. Write one sentence each: "Lead score grades the person. Account score grades the company."
2. List five signals for each. Kill anything that never shows up in closed-won.
3. Set a routing rule: AE only when account score clears the floor and role fit clears.
4. Pull last month's meetings. Mark which ones were hot-lead / cold-account. Measure how many closed.
5. Align marketing and sales on the two definitions in one doc, not two dashboards.

Adapt or fail. Person heat without company heat fills calendars. Account score plus role fit fills calendars worth keeping.

Start Signals, Convert, Grow

FAQ

Can I run B2B with only lead scoring?

You can. You will over-route curious individuals and under-route quiet companies with real demand. If you sell to committees, add account score.

Is account scoring the same as ABM tiering?

Related, not identical. Tiering often sets who is in the target list. Account scoring ranks who on that list (and outside it) is hot right now.

Should product usage sit on the lead or the account?

Both. User-level actions explain who is engaged. Account-level rollups explain whether the company is adopting. Route on the rollup when you sell teams.

How many score tiers do I need?

Three is enough for most early teams: work now, watch, ignore. More tiers usually mean more arguments, not better routing.

Who owns the definitions?

One owner for Convert, with marketing and sales signing the same page. Split ownership is how two scores disagree on every deal.