Agencies that stall on new business rarely have a pitch problem; they have a list problem. You're calling companies with nothing to hire for, and no opening line survives that. Below: the signals that reveal a company does have a hiring problem, how to observe them, the false positives hiding underneath, and how to turn a signal into an opening line.
The problem is your list, not your pitch
At any given moment only a small share of the companies in your region has an urgent hiring problem. A register export or LinkedIn filter makes no distinction, so you spread your calling hours evenly across companies you can't tell apart. Your meeting rate stays low, the reflex is to tinker with the script, and your list stays largely uninterested.
A signal-driven list flips the order: you don't start with a company profile, you start with an event and find the company attached to it. That turns your cold outreach into a timing game instead of a volume game.
What counts as a hiring intent signal
A usable signal meets three conditions:
- It is observable from the outside: on a job board, in the trade register, in a press release or an ad library.
- It can be dated, because the date determines whether it still has value now.
- It points to a need the company hasn't solved itself yet.
Separate intent from fit. A signal says: something is happening here right now. Your ICP says whether that is worth anything to you. Five roles in a job family you have no candidates for is a bad prospect with a strong signal.
Signals in job posting data
The richest source, and the one with the most false positives. Raw material, not a conclusion.
A vacancy that has been open a long time
The company can't fill the role with what it's currently doing. Check the posting date on the careers page and the job boards: four to eight weeks open is the golden window, past three months it gets suspicious. False positives: the phantom vacancy, a posting placed by another agency, and the role that will never be filled at that salary.
A sudden spike in vacancies
Something changed in the planning: a contract won, an extra shift, a team that left. Five roles added in two weeks says far more than five that have sat there six months, and stays usable for two to three weeks. False positive: an ATS migration that gives everything the same date, recognizable by identical texts across every job family.
The same vacancy posted again
The strongest signal in job posting data: it carries proof of failure, because the first round produced nothing. Best in the first two weeks after. False positive: automatic refreshes, because job boards bump postings to keep them at the top. A real repost usually has something changed — salary, requirements, title. A bump is identical.
Ad activity from the company itself
The company is paying for recruitment out of its own pocket: there is budget and urgency, and organic clearly wasn't working. Meta's ad library is public and searchable by advertiser name. A set that has run three weeks is a company that isn't done. False positives: employer branding without an opening, and ads a media agency runs for a client.
Signals inside the organization
The recruiter or HR manager leaving
Recruiting capacity just disappeared while the vacancies stay put — there is literally nobody left to do the work. You spot it in job changes on LinkedIn and in an open recruiter role. Workable for six weeks after the departure; after that there's an interim. False positive: a departure from a team of eight recruiters.
A new branch or location
A complete team has to be built where the company has no network, and that is almost always agency work. Sources: the trade register, local media, their own site. This signal lives long: three to six months around the opening. False positive: a purely fiscal registration — check whether vacancies actually appear.
A move or expansion of the premises
More square meters usually means more people, and part of the team won't travel along. Sources: building permits, local media, social media. The signal comes early and the need comes late: note the completion date and plan your contact three months before it. False positive: moving within the same radius without growth.
Signals in the market
A contract or tender won
There is work with a start date and usually a penalty for late delivery. In construction, engineering, infrastructure and healthcare, awards are published publicly; elsewhere it shows up in a press release. The weeks right after the award are the best. False positive: a framework agreement with no guaranteed volume only says the company is allowed to deliver.
Growth funding
There is budget and a growth plan with FTE in it, and rounds are nearly always announced by the company itself. One to four months after is the window: immediately after it's too crowded with vendors, after six months the first round is done. False positive: money that goes entirely into product development.
Seasonal patterns
Some sectors hire on a clock: logistics and retail toward the autumn, construction and landscaping toward the spring, hospitality toward the summer, healthcare and education around schedule changes. This says nothing about one company but everything about when to work an entire list: six to eight weeks before the peak. False positive: last year is no promise.
From signal to opening line
A signal is only worth something once it shows up in your first two sentences, in a way a mass mail could never have contained. The test: swap out the company name and see whether the sentence still holds. If so, it isn't a signal opener. Name the concrete thing, name the consequence, ask one question.
- Weak: 'I saw that you're growing and we help companies like yours find staff.' Fits everybody.
- Strong: 'Your CNC machinist role has been open since June and was reposted last week, with an adjusted salary. Usually that means applications aren't coming in. How many responses are you getting?'
- Strong: 'I saw the award for the Zwolle project. If it starts in March, the crew has to be in place by January. Have you already covered that?'
Don't overdo it: 'I saw you have 14 vacancies, 6 of them in engineering' sounds like a scraper, not a person.
Prioritizing and the decay problem
After a few weeks you'll have more signals than working hours, and the sort order matters more than the count. Rank on four things:
- Urgency: does a decision get made here this month?
- Value: does the job family fall inside what you can deliver, at a workable margin?
- Uniqueness: everybody sees a public tender award, almost nobody sees a recruiter who quietly moved on.
- Reachability: do you know who decides and how to reach them?
Two strong signals at the same company don't count double but as confirmation: a vacancy spike plus a departed recruiter is one prospect with a high score, and that one goes to the top today.
Because every signal ages, faster than you think. Two weeks after a repost the company has usually decided something: brought in an agency, raised the salary, or pulled the role. You're calling about a decision already made, not about a problem. Practical rule: event signals — spike, repost, departure, tender award — are cold after two weeks; state signals — branch, funding, premises growth — stay usable for months. A monthly list refresh is too slow for that first category.
How to keep the process running
The difference between doing this once and turning it into clients is rhythm:
- One fixed day a week: job boards, careers pages, LinkedIn, tender award publications, local news, the ad library.
- Deduplicate against your CRM and filter on ICP before you enrich; enrichment costs time.
- Ten to fifteen fresh signals you clear that same week beat a hundred that sit there. Log per signal type what it produced.
Done manually this costs half a day a week, and it's the work that dies first when things get busy. That's why we productized it in Signals, which identifies companies with active hiring intent and triggers the outreach; inside CAS the rest of the client acquisition is built around it.
Conclusion
Recognizing signals is not a trick, it's a habit. You shift your effort from persuading to selecting: call fewer companies, but call the ones with a problem you solve this week. Pick the three signal types that occur most often in your sector and work them consistently for a quarter.
Then model what that does to your pipeline; that's covered in the article on modeling your recruitment funnel. Want to know which signals pay off most in your region? Book a call and we'll go through your prospect list together.
