You tell by watching what specific, already-engaged people actually do, not by asking them and not by scoring the company alone. A prospect who fits your ideal customer profile isn't the same as a prospect who's ready to buy right now. Readiness lives at the individual level: which person visited the pricing page a third time this week, which second stakeholder just joined the thread without being asked, whose question turned specific instead of staying general. Company-level signals like funding rounds or new hires tell you which accounts to approach in the first place, signal-based outbound covers that ground. This is about the accounts already in your pipeline or already through your door, and reading the behavioral signals that separate the ones about to move from the ones that only look busy.
Why Guessing Doesn't Scale
Most teams guess in one of two ways. Either a rep asks directly, "are you evaluating solutions right now?", or the team infers readiness from generic engagement: an opened email, a webinar attendance, a friendly first call. Both fail for the same underlying reason: neither one is actually observing the decision, only a proxy for it.
Asking directly relies on the prospect accurately self-reporting a state they may not fully recognize in themselves, and self-interest distorts the answer in both directions. A buyer early in the process often says "still exploring" to keep a rep at arm's length. A buyer running three vendors in parallel often says "very interested" to all three, to keep every option open until the last possible moment. Neither answer tells you anything reliable about timing.
The deeper problem is that most of the actual decision now happens somewhere a rep can't see it at all. Gartner's own research puts the share of the B2B purchase journey buyers spend in direct contact with potential suppliers at only around 17%. The rest happens independently, internal debate, quiet research, comparing notes with colleagues, none of it visible to you. By the time a rep gets a straight verbal answer, the buyer has often already formed a view based on research the rep never saw. That's exactly why the verbal answer is such an unreliable proxy. The only trace left behind by that invisible process is behavior, what the prospect actually does when they think no one's grading them on it.
The cost of guessing wrong runs in both directions. Reps spend equal time on accounts that merely feel warm and accounts that are actually moving, while a account that's quietly ready gets the same generic follow-up cadence as one that's nowhere close. Readiness gets treated as a feeling instead of a pattern of specific, observable actions, and feelings don't hold up as a forecasting input.
The Signals That Actually Predict Readiness
A handful of behaviors, in practice, do the real predictive work. None of them guarantee a close on their own, but together they separate a deal that's genuinely moving from one that's merely active.
Pricing or scope-specific engagement. Repeated pricing-page visits, questions about a specific tier or implementation timeline, a request for a contract, an SOW, or a security review, that's someone doing the internal math on this exact deal, not general category research. General research asks "what does this do." Scope-specific engagement asks "what would this cost us and when could it start."
A second stakeholder shows up unprompted. Gartner's research on modern B2B buying puts the average buying group at somewhere around 10 stakeholders now, up sharply from a decade ago, which means a single enthusiastic champion is rarely enough on its own to move a deal through an organization. What predicts movement is a second or third person from the same account joining a call, replying on a thread, or asking their own independent question, arriving under their own steam rather than being forwarded in by the champion.
Response speed and question specificity. A reply within hours instead of days is a meaningful tell on its own, but it matters more combined with the shape of the questions. "Tell me more about the product" is exploratory. "What's the rollout timeline if we sign this month" is a person already picturing the deal as real.
Unprompted timeline or budget information. A prospect volunteering "we need this live before the next quarter" or "we've got budget approved for this already" without being asked is one of the strongest tells available, because it only makes sense to disclose that information if the internal decision is already substantially made.
A request that skips a normal step. Asking to bypass a standard onboarding call and go straight to a proposal, or asking for a reference customer in their exact vertical before anything else, signals someone who has already moved past the exploratory stage in their own head, whether or not the process reflects that yet.
The Signals That Look Meaningful But Aren't
Several signals get over-weighted precisely because they're the easiest ones to measure. That ease of measurement has nothing to do with how predictive they actually are.
High page-view or email-open counts alone. Activity isn't intent. A single curious person can generate a lot of pageviews out of pure research habit, and that person might be a junior analyst asked to gather options, a competitor, or a consultant building a comparison deck for someone else entirely.
Enthusiasm on a first call. Politeness or "this looks great" energy on a discovery call correlates weakly with close rate. The distinction that matters is specificity, not warmth. A buyer who stays vague about their own situation while being warm and agreeable is often just being warm and agreeable to everyone they talk to that week.
Content downloads and webinar attendance. These are top-of-funnel curiosity signals, useful for building a list, not for prioritizing one that already exists. They get over-weighted for the same reason page views do: they're trivially easy to track in a CRM, which makes them feel like data even when they carry almost no predictive value on their own.
One highly engaged champion, weeks in, with no one else surfacing. If a deal has been "in active conversation" for a month and still involves exactly one person from the buying side, given how large buying groups typically run now, that's usually not a deal that's simply moving slowly. It's a deal without internal support beyond one enthusiastic individual, which is a different and generally worse problem than a slow one.
ICP fit by itself. Whether an account matches your ideal customer profile is a real and useful question, but it's a company-level fit question, not a timing question. Conflating "should we be talking to this account at all" with "is this account ready right now" is exactly the mistake that keeps teams treating every reasonably-sized lead the same regardless of what's actually happening inside it.
How to Score Readiness Without Overbuilding
You don't need a predictive model or an intent-data platform to act on any of this. A simple weighted checklist, run by a human, beats an unused CRM field or a complex score nobody maintains.
Assign points to the signals that actually predict movement: scope-specific engagement, a second stakeholder appearing unprompted, and unprompted timeline or budget disclosure each carry real weight. Fast response times and specific questions add a smaller amount. General engagement, opens, downloads, webinar attendance, adds nothing on its own. Set a threshold where a deal moves from "keep nurturing" to "prioritize this week," and review the list on a fixed weekly cadence rather than in real time, since a score should shift as new behavior happens, not stay frozen from the last time someone looked at it.
The point of the exercise isn't precision, it's forcing a conversation to happen on evidence instead of gut feel. A score that drops from a 7 to a 3 in one week is worth a manager asking why, not an automated system quietly re-sorting a queue with no one noticing the change or the reason behind it. Keep a human reading the pattern behind the number, the number is context for a decision, not a replacement for one.
What to Do the Moment You Find a Ready Account
Finding the signal is only half the exercise, what happens in the following hours often decides whether it holds.
Respond the same day, not at the next available calendar slot. Urgency decays fast, and a genuinely warm account sitting in a queue behind five colder ones loses exactly the moment the signal was trying to tell you about.
Multi-thread proactively instead of waiting for a second stakeholder to appear on their own. If a champion is engaged but alone, ask them directly who else needs to be in the room before a decision can move, given how large buying groups run today, waiting passively wastes the exact window the signal opened.
Match the ask to the readiness level. Someone who just requested a security review is ready for a proposal conversation, not another generic intro deck. Someone still in the exploratory stage shouldn't get pressured into a contract conversation that reads as pushy and can cool a deal that was genuinely warming up on its own timeline.
Remove unnecessary process for accounts that are clearly ready. A fixed five-step qualification sequence, applied uniformly regardless of what a prospect's own behavior is already telling you, loses deals that are already past step three in the buyer's own head. Process built for the average deal actively punishes the above-average one.
How This Changes What "Working Your Pipeline" Means
Once readiness is read from behavior instead of guessed, pipeline review stops being a stage-and-date exercise and becomes a signal-strength exercise, the same shift, at the individual-account level, that separates a signal-qualified pipeline from a static one. A rep's queue gets ranked by readiness score and refreshed weekly, rather than sorted by whichever deal happens to be next on the calendar or oldest in the CRM.
Taken together with the other two pieces of this system, which companies to approach in the first place, and why a signal-driven system produces predictable results at all, this closes the loop: the right company, the right individual moment inside that company, and the operational discipline that keeps both running. The practical shift for most teams is smaller than it sounds. It's the difference between a pipeline review that asks "is this account interested" and one that asks "what did they actually do this week." That's a small change in the question, and it changes which deals get a rep's attention first.