Lead, prospect and account: why the unit of work changes everything.
6 min read
In B2B prospecting, lead, prospect and account become synonyms, and the confusion is costly: teams count contacts and call it demand. In complex sales, the unit of work is the account. GoSeek researches the company in public sources and delivers the dossier that turns a known tax ID into an account with entry criteria.
The four words, one by one.
A lead is a contact captured through some action: name, email and a known source. It's a person, not a company. The common mistake is treating a lead as demand, when all it tells you is that someone filled out a form.
A prospect is a contact checked against a criterion: the company resembles the ICP and the role relates to the problem you solve. It's a lead with a hypothesis. The common mistake is calling someone a prospect just because they picked up the phone.
An account is the company, with its registry record, ownership, structure, history and its own moment. It brings together several contacts and, over time, more than one opportunity. The common mistake is creating the account only after someone replies. The account exists before the contact, because it's the company that has the problem or doesn't.
An opportunity is a live negotiation within an account, with scope, estimated value, stage and decision criteria. The common mistake is opening one at the first booked meeting, which fills the pipeline with records that have no identified pain.
MQL and SQL are labels for contacts. That's why mature teams also keep an account stage, showing how well the company is understood.
The scope of the research
By hand it works for a few accounts, here it works for the whole portfolio
Measure contacts and you measure volume. Measure accounts and you measure progress.
The unit of measure shapes behavior. If the report shows leads generated, contacts reached and emails sent, the team optimizes for volume, the easiest metric to grow and the one that says least about future revenue.
If it shows accounts worked, with proven pain, mapped stakeholders and a dated next step, the question becomes how many companies changed state. And progress can be verified: the account either has the decision maker identified or it doesn't.
Targets follow the same logic. A booked-meeting target produces booked meetings, even with companies outside the ICP. A qualified-account target produces selection. And with the account as the unit, you can tell apart wrong selection, shallow research and poor execution, which need different fixes.
Portfolio sorted by score
Each company scored against the area's ICP, in code
A contact without an account is just a name on a list.
Name, title and email don't tell you whether the company has the problem. To turn it into work, you need to know what it does and for whom, its size, ownership, what changed in recent months and which roles are open. Without that, outreach comes out generic for lack of raw material.
The power map is missing too. Whoever replied may not decide, use or pay. Knowing who sponsors, evaluates, is affected and signs is part of understanding the account.
Most teams skip this step because research takes time, and time is tied to activity targets. Between researching ten companies and reaching a hundred contacts, the report pushes toward the hundred. Research disappears, conversion drops, and almost no one connects the two.
What comes out about the account
Sixteen sections, each one answering a question from the sale
How an account enters and leaves the portfolio.
Entry criteria separate a portfolio from a list. An account enters when it matches the ICP, there's evidence of a pain your solution solves and someone connected to that problem has been identified. Before that, it's just a known tax ID.
GoSeek works at this point. The AI agents research the company in public sources and deliver a dossier with a source and date on every claim. The diagnosis separates proven from likely pain, triggers come dated, stakeholders appear by power and interest, and the score is calculated in code against the ICP. GoSeek doesn't buy lists or send cadences: it delivers the insight that decides whether an account deserves the effort.
Exit criteria are just as necessary and almost always missing. An account leaves when it's outside the ICP, the pain isn't confirmed, there's a recent contract with a competitor or there's no active buying process. Dropping an account with a recorded reason produces learning. Letting it fade into silence doesn't.
There's a third state, the most poorly handled: the account that fits but isn't ready. It belongs on a watch list tied to triggers, such as an ownership change, a new executive, a job post in a relevant area or a regulatory decision. When the trigger fires, it returns to the portfolio with fresh context and a date.
The company dossier
Every sentence with source and date
The vocabulary has to live in your CRM fields.
None of this survives a CRM that stores contact and account in the same record. If the company is a text field on the contact card, every rep types it differently, the same client shows up three times and the report adds up contacts thinking it's adding up companies.
The minimum structure separates account, contact, opportunity and activity. Contacts and opportunities belong to the account, and activities reference both. That way you can tell how many accounts were worked in the month, how many contacts per account were reached and how long it takes from portfolio entry to first meeting. Stages need two axes as well: MQL and SQL for the contact, and understanding and progress for the account.
Without that structure, the report stays precisely wrong. The team can understand the difference between lead, prospect and account and still report volume, because the system only counts what it models. Vocabulary with no field never reaches the leadership dashboard.
The vocabulary inside the system
A wrong field today is a wrong report next quarter
What people ask about lead, prospect and account.
What is the difference between lead and prospect?
A lead is a captured contact, with identity and source, not checked for fit. A prospect is the same contact after being checked against a criterion: the company resembles the ICP and the role relates to the problem. The difference is the hypothesis.
Are account and company the same thing?
An account is how the CRM represents the company, with registry data, history and linked contacts. Day to day they work as synonyms, but inside the system the distinction matters: without that record, information is scattered across people's cards.
When should you open an opportunity in the pipeline?
When there's a real negotiation in the account, with a draft scope, a contact tied to the decision and signs of an active purchase. A booked meeting is an activity. Opening opportunities too early inflates the pipeline and ruins the forecast.
Do MQL and SQL measure the contact or the account?
Both measure contacts. That's why complex sales add an account stage, showing how much the company has been researched and how far the purchase has progressed. With only MQL and SQL, pre-sales work stays invisible.
What to do with the good account that has no timing?
It leaves the active portfolio without being dropped and goes onto a watch list tied to triggers, such as an ownership change, a new executive or a regulatory decision. When the trigger fires, it returns with fresh context and a date.
Other pages from GoSeek.
Methodology.
How GoSeek researches: source and date on every claim, stated contradictions, stated absence instead of estimate and score calculated in code.
AI in the sales process.
Where AI fits into each phase of the B2B sales process, what it should not decide, the mistakes that sink the project and how to measure the gain.
Marketing and sales with AI.
Marketing delivers volume, sales complains about quality. How to write a shared definition of a qualified lead and what AI changes at that boundary.
AI agents for prospecting.
AI agents for prospecting read the account in public sources and deliver the company dossier with a score, dated triggers and who to approach first.
AI SDR.
AI SDR has become the name of three different things. What each one does, what the advertised numbers hide and where account research comes in.
Prepare the sales meeting.
How to prepare a B2B sales meeting: what to study about the company, the meeting flow and the questions that only work after account research.
B2B data enrichment.
B2B data enrichment beyond industry code and size: what the company announced, who decides and what changed, with a source and date on every field.
B2B buying signals.
B2B buying signals are dated events that change the chance of closing now. See the catalog of sales triggers and how to prioritize accounts by timing.
Map the decision makers.
Stakeholder mapping in B2B sales: how to identify a company's decision makers in public sources, separate power from interest and keep the map alive.
Sales battlecard.
Sales battlecard: what goes into it, why most of them age inside a slide and how to build one per account, with competition, objections and dated evidence.
B2B prospecting tools.
B2B prospecting tools solve different problems. See the 5 categories, who is in each one and how to choose based on the stage that is stuck.
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