Sales-ready TAM: in-market accounts, and how they differ from MQLs
What makes a contact Sales-ready, how intent-based readiness compares with MQLs, SQLs and BANT, and why these accounts should get your reps’ first hours.
Dag Holmen · Updated · 6 min read
A contact is Sales-ready when they fit your ideal customer profile and are showing buying intent right now: researching your category on the web, engaging with your competitors or searching for the kind of product you sell. In an AdsGTM list that’s usually around 5% of your TAM, and it’s where your reps should spend their first hours.
A Sales-ready contact doesn’t need to have filled in your form or opened your emails. That’s what sets it apart from an MQL or an SQL, which both start with someone engaging with you. The signal comes from what they’re researching, wherever they’re doing it, so you can reach buyers who are in-market before they ever find you.
What makes a contact Sales-ready
Three things have to be true at once.
- Fit. The company matches your ICP on industry, size, region and the other criteria you agreed, and the person holds a role you sell to.
- Intent. There’s current research activity on topics tied to what you sell. One stray page view doesn’t count. Strong signals, or several related ones around the same topic, do.
- Reachable. You have what a rep needs to make contact: a LinkedIn profile, a verified work email and, if you call, a phone number.
Fit without intent is a Marketing-ready contact: right company, wrong moment. Intent without fit is noise: someone researching your category who will never buy from you, such as a student, a competitor or a company far too small. Only the overlap belongs in the Sales-ready list.
In our Acme example, a mapped market of 46,910 contacts gives 2,346 Sales-ready contacts. That’s the 5%. The other 44,564 go to the Marketing-ready list.
What counts as intent, and what doesn’t
Intent means evidence that people are researching a problem you solve. The signals that count:
- Web research on topics related to your offer, for example “sales engagement software” or “SOC 2 compliance”.
- Competitor engagement, such as time on competitors’ sites or with their content.
- Search queries that show someone looking for a solution, not just reading about a subject.
The signals that don’t count on their own are the generic ones: a company hiring, raising a round or announcing a new executive. They tell you a company has money or headcount. They don’t tell you anyone there is looking at your category this month, and every other vendor sees the same press release. Those events can help describe fit, but they don’t make a contact Sales-ready.
The intent data guide explains where these signals come from and how fresh they need to be.
MQL vs SQL vs Sales-ready
Most B2B teams already have two labels for leads.
A marketing qualified lead (MQL) is a lead that marketing judges more likely to buy, based on how they’ve engaged with your marketing: form fills, content downloads, email clicks, webinar sign-ups and page views, usually added up in a lead score.
A sales qualified lead (SQL) is a lead that sales has accepted and qualified as a real opportunity, usually after a first conversation.
Sales-ready works differently because it doesn’t depend on someone engaging with you first.
| MQL | SQL | Sales-ready | |
|---|---|---|---|
| Based on | Engagement with your marketing | A sales conversation | ICP fit plus research activity across the web |
| Decided by | Marketing, through a lead score | Sales | The scoring model, before anyone engages |
| Needs them to know you? | Yes | Yes | No |
| Who it covers | People who found you | People who talked to you | Everyone in your TAM who’s researching now |
| Common weak spot | Volume without intent | Arrives late | Signals age, so the list needs refreshing |
Why MQLs disappoint sales
MQLs reward activity with your brand, and activity is a weak proxy for buying. Someone downloading three ebooks might be a student, a job seeker or a competitor. Forrester has reported that fewer than 1% of leads convert to closed deals, and recommends tracking buying groups attached to opportunities instead.
The other problem is that an MQL is one person. B2B purchases aren’t. Forrester’s State of Business Buying 2024 found that on average 13 people inside a company are involved in a buying decision. And in the Forrester blog on MQLs above, clients report a 50% increase in meeting-to-closed-won conversion when marketing hands sales three or more members of a buying group.
That’s why a Sales-ready list gives reps several contacts at each company, and why account scoring looks at the whole company, not one engaged individual.
What comes first, MQL or SQL?
In a classic funnel, MQL comes first. Marketing generates and scores the lead, passes it to sales, and sales qualifies it into an SQL. Many teams add a step between the two where sales accepts the lead before qualifying it. Sales-ready contacts can skip the MQL stage entirely, because the intent signal does the job the lead score was trying to do.
Where BANT fits
BANT stands for budget, authority, need and timeline. It’s a checklist reps use on a first call to decide whether a deal is real.
BANT is still useful, but it answers a different question. It tells you whether someone you’re already talking to can buy. It can’t tell you who to call in the first place, because you only learn budget and authority once you’re in a conversation.
Intent covers the gap. It answers “who and when” before the first call: these people, at these companies, are researching now. BANT then answers “is this a real deal” during the call. Intent is also a rough early read on the T in BANT. A company researching your category this week is more likely to have a near-term timeline than one that isn’t.
Why reps should start with the Sales-ready list
Timing. Only a small share of your market is buying at any moment. Ehrenberg-Bass researcher John Dawes put it at around 5% per quarter for many B2B purchases. The Sales-ready list is your best attempt at naming that 5%.
Relevance. A Gartner survey published in June 2025 found 73% of B2B buyers actively avoid suppliers who send irrelevant outreach. Intent topics tell your reps what each contact cares about this month, which is the raw material for outreach that isn’t irrelevant.
Focus. No team can work 46,910 contacts with care. A list of 2,346, sorted by priority, is one a small team can actually work through. Your reps spend their hours where the odds are best, and marketing keeps warming everyone else.
These are what people mean by hot leads or high intent leads. The difference is that you didn’t wait for them to raise their hand.
How to work a Sales-ready list
- Start at the top. Work priority A contacts first. They have the strongest fit and the strongest signals.
- Reach several people per company. Contact two or three members of the buying group, each with a message for their role.
- Lead with the problem, not the signal. Write about the challenge the topic points to.
- Use every channel you have. Combine LinkedIn outbound, email and, if you bought phones, cold calling.
- Move fast. Research windows close. A contact who was comparing vendors two weeks ago may have picked one.
- Keep the ads running. Leave Sales-ready contacts in your marketing audiences, so your reps’ messages land on people who already recognise your name.
Keeping the Sales-ready list fresh
Intent data ages faster than contact data. The intent signals behind an AdsGTM list refresh every 24 hours and can be backfilled up to 14 days, so a build can reflect up to two weeks of research, not one day’s. Contact records refresh every 14 days.
The list you receive is a snapshot taken at delivery, though. After a few weeks, some Sales-ready contacts will have bought or gone quiet, and some Marketing-ready contacts will have started researching. You can order a refresh for $1,000 whenever you need one, or ask us about refreshing the Sales-ready list monthly.
Not ready to buy a list yet? How AdsGTM works walks through the kickoff call, the scoring and what lands in your CRM.
Frequently asked questions
- What does MQL stand for in marketing?
- MQL stands for marketing qualified lead: a lead that marketing judges more likely to buy based on engagement with its marketing, such as form fills, downloads and email clicks, usually measured with a lead score.
- Is an MQL better than an SQL?
- No. An SQL is further along: sales has spoken to the lead and confirmed a real opportunity. An MQL is an earlier, weaker signal based on marketing engagement alone.
- What is a high intent lead?
- A high intent lead is someone who fits your ICP and is actively researching the problem you solve, through web research, competitor engagement or search. In an AdsGTM list these contacts make up the Sales-ready list.
- Is BANT still used in B2B sales?
- Yes, as a checklist on early calls to confirm budget, authority, need and timeline. It works best once you know who to call, which is the question intent data answers.
- Why don’t hiring or funding signals make a lead Sales-ready?
- They show a company has money or headcount, not that anyone there is researching what you sell. Every vendor sees the same announcements, so they are better used as context for fit than as a reason to call.
- How many contacts are usually Sales-ready?
- In AdsGTM builds it’s usually around 5% of the TAM, in line with research suggesting only a small share of B2B buyers are in-market at any time. The exact share depends on your market and your buying cycle.
Sources
- Forrester, Simon Daniels — Saying Goodbye To MQLs: A Parting That Is All Sweet And No Sorrow (2023)
- Forrester — To Master B2B Buying Mayhem, Providers Must Prioritize Buyers’ Needs (2024)
- Ehrenberg-Bass Institute, John Dawes — Advertising effectiveness and the 95-5 rule: most B2B buyers are not in the market right now (2021)
- Gartner — Gartner Sales Survey Finds 61% of B2B Buyers Prefer a Rep-Free Buying Experience (2025)
Related guides
- Intent data and buying signals: what they are and where they come fromWhat intent data is, the buying signals that actually predict purchases (web research, competitor engagement, search), and the generic signals that don’t.
- Account scoring: how fit and intent decide who to reach firstHow to score accounts on ICP fit and intent strength, why rule-based lead scores fall short, and how AdsGTM tailors scoring and priority tiers to your offer.
- Outbound to in-market accounts: email, LinkedIn and cold callingHow to work your Sales-ready list across LinkedIn outbound, cold email and cold calling, with sequences that reference what each account is researching.