What 1,051 account decisions show: B2B account qualification data (2026)

It covers every company S1 agents decided on in four SalesOne production research runs in October 2026, across two ideal customer profiles. A decision means a candidate company was checked against the profile and either kept as a qualified account or turned down with a reason. Companies already on the team’s own list or on an exclusion list were skipped before any research, so they are not counted.

• Key takeaway: about one company in four that looks right on paper qualifies.
• Key takeaway: timing, not fit, is the most common reason a company is turned down.
• Key takeaway: a qualified account is a small evidence file, not a row: buying triggers with sources and dates, and a sourced buying committee.

About one in four. Of 1,051 candidate companies, 249 were kept, an acceptance rate of 24%. Put the other way, S1 agents turned down about three of every four companies they checked against the ICP, or about 4.2 companies decided for every account kept.

These candidates were not random. Each one surfaced from searches built on the profile, which is why a 24% acceptance rate is a useful planning number: if you need 50 qualified accounts, expect to check about 200 companies that look like a fit. How account qualification decides each one is covered in its own guide.

For each account S1 delivered, its agents ran about 30 searches, opened the pages that mattered, and turned down about three other companies.

The effort counts the companies that were turned down as well as the ones kept, because each reject is researched far enough to name the rule it failed. That is the cost of a list where every name has a reason to be on it. How agents do this work is explained in AI account research.

Every company S1 turns down keeps the rule it failed and the evidence, so you can see why it isn’t on your list. The server refuses a reject without a reason, which is why all 802 rejects in this data have one.

Two in three companies were turned down for timing, not fit: they may have matched the profile, but nothing showed a reason to buy now. The full breakdown by reason, including size and ownership, is in why accounts get rejected.

Every buying trigger comes with its source and the date it happened. In these runs, the newest trigger on a typical account was about two months old at delivery.

Freshness matters because each trigger has a response window, for example 90 days after a new executive starts. SalesOne puts accounts with an open window first and shows the date to reach out by. The trigger types that open a window are listed under buying signals, and signal-based selling explains how teams use them.

S1 finds the buying committee, about four people per account, each backed by a dated public source, mostly filings, company pages and press releases rather than a profile alone.

A named committee with sources lets a rep check each person before reaching out and write to the people who own the problem, not only the most senior title. More on who sits on it is in the buying committee guide.

1. Plan list volume from the acceptance rate. At about 24%, a target of 50 qualified accounts means checking about 200 candidates.
2. Require a dated reason to act now, not fit alone. Two in three rejects here were turned down for timing.
3. Give every trigger a window and a reach-out-by date, so the accounts with an open window are worked first.
4. Keep a reason with every reject. It answers “why isn’t this company on my list?” in one line and shows which rule does the most work.
5. Map about four sourced people per account, from filings, company pages and press, before the first message.

To turn these rules into a score, see account scoring; to build the list itself, see target account lists. Teams that want every rep working the same researched accounts can read how growing teams use SalesOne.

S1 agents start every search from dated events, check each new company against the structured ICP and keep only triggers inside their response window. A company is either kept with its evidence or turned down with the rule it failed. The figures on this page are counted from what those runs recorded, across all companies decided, not a selected sample.

Definitions and the runs behind every figure are on the S1 agents method page. The reject analysis is also published as a technical report on Zenodo (DOI 10.5281/zenodo.24048773). Figures and claims: SalesOne production research runs and internal tests, Sept–Oct 2026; method on the benchmark page.

To see the same evidence on your own market, get 25 qualified prospects, free: accounts with a dated reason to reach out, the people who decide, and the companies S1 agents turned down with their reasons.