Account tiering model

Most account tiering is either a static list of logos a VP likes or a raw intent score that reshuffles every week. Neither works: the first ignores timing, the second chases noise from accounts you could never win. This model scores fit and intent separately, lets fit gate the tier, and uses intent to decide how hard to work the accounts that deserve attention.

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What you get

  • A 100-point rubric: 60 points of fit and 40 points of intent, with a scoring rule for every criterion
  • Tier rules with a fit minimum, so high-intent accounts outside your ICP cannot jump the queue
  • A worked example of five accounts where every score adds up
  • A coverage model per tier: owner, motion, and touch expectations
  • A rescoring cadence that separates fit changes from intent changes

Who it's for

  • RevOps leads building target account lists for a new year
  • Marketing ops teams aligning ABM programs with sales coverage
  • Sales leaders deciding which accounts get named-rep attention

What's inside

  1. 1

    Scoring rubric

    4 columns, 7 worked example rows

  2. 2

    Tier rules

    3 columns, 4 worked example rows

  3. 3

    Worked example

    12 columns, 5 worked example rows

  4. 4

    Reading the example

    Guidance notes

  5. 5

    Coverage model by tier

    5 columns, 4 worked example rows

  6. 6

    Rolling out the model

    8-point checklist

Preview of section 1

Scoring rubric

Fit criteria total 60 points and intent criteria total 40, for a maximum of 100. Criteria and point rules are examples; rebuild them from your own closed-won analysis.

CriterionDimensionMax pointsScoring rule
IndustryFit15Core industry 15; adjacent 10; served but rare 5; not served 0
Company sizeFit20Sweet-spot band 20; one band either side 10; outside 0

The preview shows part of section 1. The full template has all 6 sections (5 not previewed here), with blank rows ready to fill in. Download the full template

How to use it

  1. 1

    Build fit criteria from closed-won, not from the ICP slide

    Pull the last two years of closed-won and churned accounts. Keep only criteria that actually separate them (industry, size band, a tech or process signal). If a criterion does not predict wins or retention, cut it, however sensible it sounds.

  2. 2

    Keep fit and intent as separate scores

    Fit says whether you should want the account. Intent says whether now is the time. Blending them into one number lets a noisy intent spike promote a poor-fit account. Store both scores in the CRM, not just the tier.

  3. 3

    Enforce the fit gate

    An account below the fit minimum is Tier 4 no matter what its intent score says. Route that intent to marketing nurture, not a rep's calendar.

  4. 4

    Size tiers to capacity

    Count how many Tier 1 accounts each rep can genuinely run account plans for. If the model produces more Tier 1 accounts than your reps can cover, raise the threshold. A Tier 1 list nobody works is just a label.

  5. 5

    Rescore intent monthly, move tiers quarterly

    Intent changes fast; coverage should not. Refresh scores monthly for visibility but only change tiers (and therefore owners and motions) once a quarter.

Frequently asked questions

What is account tiering?

Grouping target accounts into tiers based on how well they fit your ideal customer and how likely they are to buy soon, then assigning a different coverage model and level of rep effort to each tier.

How many account tiers should you have?

Three or four. Fewer and you cannot separate effort levels; more and reps stop remembering what each tier means. Four works well when the last tier is explicitly 'no rep time'.

Should intent data decide account tiers?

Only in combination with fit. Intent says when to act, not whether an account is worth acting on. Gate tiers on a minimum fit score so intent spikes from poor-fit accounts go to nurture.

How often should accounts be re-tiered?

Rescore monthly for visibility, but change tiers quarterly. Changing tiers more often means changing owners and motions faster than reps can act on them.

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