Past behaviour predicts future spend.
Reach warm accounts first.
Companies that have used recruitment agencies before know how it works and are significantly more likely to engage again. Your AI employee identifies those accounts, surfaces the history and hands you a task that references the prior relationship to warm the conversation instantly.
The easiest client to win is the one who has already paid a recruiter.
A company that has used agency recruiters before has already validated the model. They know the process, they know the value and they are significantly more likely to engage again than a cold account that has never worked with an agency.
Cold outreach to cold accounts is the hardest play in recruitment.
Warm outreach to warm accounts is where placement rates are highest. Your AI employee identifies accounts with a proven history of agency engagement and prioritises them in your task queue.
Detect. Enrich. Hand you the task.
Your AI employee handles every step so you reach out first.
Detect prior agency engagement
The agent looks for evidence that a company has used recruitment agencies before: agency-posted job listings in the last 18 months, placement language in job descriptions and LinkedIn activity patterns.
Identify the current hiring lead
The agent finds who is responsible for recruitment at the account today, since the contact may have changed since any prior engagement. The current Head of Talent or hiring lead is verified.
Task that references the history
A task arrives that references the account's prior use of recruiters, framing your outreach as a natural next step rather than a cold approach. The tone is warm and knowledgeable.
Related signals to watch.
Your AI employee monitors them all, not just this one.
Job Changes
A new hiring lead at a warm account is the ideal entry point.
New Hires
A hiring spike at a warm account is the clearest buying signal.
Multi-turn Signals
Recruiter history plus a new signal is a very warm account.
Executive Moves
A new decision-maker at a warm account resets the relationship.
Boilr gave us the BD structure and follow-up support to sign our first client and secure a job brief in under a month.
Questions, answered.
Everything your team needs to know about the recruiter history signal.
How does boilr detect that a company has used a recruitment agency before?
The agent looks for agency-posted job listings on LinkedIn and job boards over the last 18 months, job description language that indicates agency involvement ("working with retained search" or similar), and LinkedIn activity from candidates who reference being placed at the account.
Does boilr know which agency was used previously?
In some cases, yes. LinkedIn job postings that name the agency are captured. In other cases the agent detects agency involvement without identifying the specific firm. Either way, the signal is useful: it tells you the account is open to the model.
How far back does boilr look for recruiter history?
The default window is 18 months. Older history is less predictive of current behaviour, though you can extend the window to 36 months in your signal settings if you operate in slower-moving sectors.
What if my firm has already worked with the account?
If the account is in your boilr history, the signal is linked to the existing record and the task is framed as a re-engagement rather than a first introduction. The opener references your prior relationship directly.
Is recruiter history combined with other signals?
Yes. Recruiter history works best as a qualifying filter: it tells you the account is warm, and other signals (hiring spike, expansion, exec move) tell you the timing is right. Accounts with recruiter history plus a live signal are the highest-priority tasks in your inbox.
Reach warm accounts before they search for an agency.
Your AI employee identifies accounts with a history of agency engagement and surfaces them the moment conditions are right to reach back in.