Account scoring matrix: a fit, timing and reach template
Updated By the SalesOne research team8 min read
The short answer
An account scoring matrix ranks companies by how likely they are to buy now. This template scores three things: fit with your ideal customer profile (45 points), timing from dated buying signals (40 points) and reach into the buying committee (15 points). Accounts that fail a must rule are disqualified; the rest fall into tiers A, B and C.
How does this account scoring matrix work?
The matrix turns three questions into one number out of 100. Does the company match your ideal customer profile? Is there a reason for it to buy now? Can you reach the people who decide? Each question has its own points and its own evidence, so a seller can see why an account ranks where it does.
Score only accounts that have passed qualification. A company that fails a must rule or matches an exclusion gets no score: mark it X and keep the reason. The weights, 45 for fit, 40 for timing and 15 for reach, are the defaults SalesOne uses. Timing carries almost as much weight as fit on purpose: fit says who to sell to, and timing says when. Change the weights only when your own results give you a reason.
| Component | Max points | Question | Evidence |
|---|---|---|---|
| Fit | 45 | Does the company match the ICP? | Must and preferred rules, each checked on a source |
| Timing | 40 | Is there a reason to buy now? | Dated buying signals inside their windows |
| Reach | 15 | Can you reach the people who decide? | Buying-committee roles found and confirmed |
What does the account scoring matrix template look like?
Copy this matrix into a spreadsheet: one copy per account, or one column of points per account. The point rules for each row are explained in the next three sections.
| Component | Criterion | Point rule | Points available | Evidence (source and date) | Points earned |
|---|---|---|---|---|---|
| Gate | Must rules and exclusions | Any failed must rule or matched exclusion: tier X, no score | — | [ ] | [Pass / X] |
| Fit | Must rules | Equal share of 24.75 per rule; half a share if the rule could not be verified | 24.75 | [ ] | [ ] |
| Fit | Preferred rules | Equal share of 20.25 per rule matched | 20.25 | [ ] | [ ] |
| Timing | Strongest live signal | High 30, medium 20, low 10; half in the second half of its window; 0 once expired | 30 | [ ] | [ ] |
| Timing | Other live high-strength signal types | +4 each, up to the cap | 10 | [ ] | [ ] |
| Reach | Committee roles | 15 × credit for roles found ÷ total role weight | 15 | [ ] | [ ] |
| Total | Tier A 65+, B 45–64, C below 45 | 100 | [ ] |
Keep the evidence column honest. Every point should trace back to a source someone else could open: the filing that shows headcount, the press release that names the new executive, the profile that confirms a champion is still in the role. A score without evidence is an opinion, and sellers learn to ignore it. Round only the total, not each line, so small differences between accounts survive.
How do you score fit?
Fit measures how closely the company matches your ideal customer profile, and it is worth up to 45 points. First apply the gate: a failed must rule or a matched exclusion disqualifies the account. Then score what is left.
- Must rules carry 55% of fit points, 24.75 in total, split equally across your must rules. This is SalesOne’s default.
- A must rule you could not verify, such as revenue at a private company, earns half its share.
- Preferred rules carry the other 45%, 20.25 points, split equally and earned only when matched.
- If you have no preferred rules, decide whether must rules carry all 45 points or whether fit tops out at 24.75, and write the choice down.
Example: three must rules, all verified, earn 24.75. Two of three preferred rules matched earn 13.5. Fit is 38.25.
How do you score timing?
Timing measures whether there is a reason to buy now, and it is worth up to 40 points. It starts from the strongest live signal: the dated event, inside its window, that earns the most points.
- Strength sets the starting value. In SalesOne’s default model a strong, fresh signal earns up to 30. This template suggests 20 for medium and 10 for low; change them to match your own wins.
- Age inside the window adjusts it. Full credit in the first half of the window. This template suggests half credit in the second half and none once the window has closed.
- Each other live high-strength signal type adds 4 points, SalesOne’s default, up to the 40-point cap.
Example: a new CFO 130 days into a 0–180-day window (high strength, second half) is worth 15. Job posts naming a system replacement, 20 days into a 0–90-day window (medium, first half), are worth 20, so they are the strongest live signal. The new CFO adds 4 as another high-strength type. Timing is 24.
How do you score reach?
Reach measures whether you can contact the people who decide, and it is worth up to 15 points. Forrester’s 2024 research put the average number of people involved in a purchase at 13, so reach does not count everyone. Give each buying-committee role a weight by how much you need it, then credit the roles you found.
| Need | Suggested weight |
|---|---|
| Required | 2 |
| If the role exists | 1 |
| Nice to have | 0.5 |
- A role found with a recent, dated source confirming the person is in the job earns its full weight.
- A role with only a name, and no confirmed current source, earns half. This is SalesOne’s default.
- Reach = 15 × (credit earned ÷ total weight of all roles).
Example: decision maker and champion are required, economic buyer and evaluator apply if the role exists, and entry point and introducer are nice to have, for a total weight of 7. A confirmed decision maker (2), a confirmed champion (2), an evaluator named only (0.5) and a confirmed entry point (0.5) earn 5. Reach is 15 × 5 ÷ 7, or 10.7.
What does a scored account look like?
A fictional US distributor, scored with the default 45/40/15 weights. The company and its signals are invented to show the method.
| Component | Evidence | Points |
|---|---|---|
| Gate | No failed must rule; not on any exclusion list | Pass |
| Fit | 3 of 3 must rules verified (US headquarters, 200–2,000 employees, sells to businesses); 2 of 3 preferred rules matched (PE-backed, three or more sites) | 38.25 of 45 |
| Timing | Job posts naming a warehouse system replacement, day 20 of a 0–90 window (medium, first half): 20. New CFO, day 130 of a 0–180 window (high, second half): +4 | 24 of 40 |
| Reach | Decision maker, champion and entry point confirmed; evaluator named only; economic buyer and introducer not found | 10.7 of 15 |
| Total | Tier A | 73 of 100 |
Without the job posts, the new CFO becomes the strongest live signal at 15 points with nothing to add, and the account scores 38.25 + 15 + 10.7, or 64: tier B. One fresh signal moved the account up a tier, which is the reason timing carries 40 points. The fit and reach lines did not change at all; only the reason to act now did.
How do you turn scores into tiers?
| Tier | Score | What it usually means | What to do |
|---|---|---|---|
| A | 65 and above | Strong fit, a fresh signal and reachable people | Work first, with a plan for each account |
| B | 45–64 | Good fit with a weaker or older signal, or thin reach | Work after tier A; look for a fresher signal or the missing roles |
| C | Below 45 | Fit without timing, or timing without reach | Hold until a new signal appears |
| X | Disqualified | Failed a must rule or matched an exclusion | Do not contact; keep the reason |
Because timing carries 40 points, an account with no live signal tops out at 60 and cannot reach tier A. That is deliberate. Recalculate scores whenever a signal is added or ages: timing changes as signals move through their windows, so a score is never final. After a quarter, compare tiers with meetings held and deals won, and adjust strength values or weights only if the evidence says so. Keep the tier cut-offs fixed while you test, so changes in the mix of tiers reflect the accounts, not the rules.
How is ICP scoring different from lead scoring?
ICP scoring, or account scoring, rates companies: how well they fit, whether they have a reason to buy now, and whether you can reach the people who decide. Lead scoring rates people, usually from their engagement with marketing, such as email opens, page visits and form fills.
The two answer different questions. A lead score says a person is paying attention; an account score says the company is worth pursuing. In outbound, where most target accounts have never engaged with you, account scoring comes first. Lead activity becomes useful later as one input to timing: a visit to your pricing page can count as a low or medium signal with a short window, but it never replaces fit. Keep the two scores separate in your CRM, so nobody confuses attention with fit.
How does SalesOne use this matrix?
SalesOne scores every qualified account on fit, timing and reach with these default weights and tiers, and shows the rules, the dated signal and the roles behind each number. S1 deep research agents gather the evidence: they check the ICP rules on sources, find dated signals inside their windows and map the buying committee. Accounts that fail a rule are kept with a recorded reason rather than dropped, so you can see what the research ruled out and why. Ratings and reject reasons shape the next research run, and a person approves every message before it is sent. S1 agents do the homework. Your team builds the relationship.