You start a campaign by describing who you want to reach, in plain words. "Heads of sales at B2B software companies in Europe that raised a round this year." "Founders hiring their first recruiter." Agaria uses that brief to search LinkedIn profiles, target companies and people engaging with relevant posts. The aim is a broad search across your market and a shortlist that fits your audience.
Search coverage and relevant context
A filter says who qualifies. A signal says who is likely to answer this month. agaria uses both, and the second one decides the order.
The signals it reads today:
- Company events. A funding round, a hiring push, a new office, a launch. Something changed, and change creates needs.
- Role. Whether this person owns the problem you solve, or reports to someone who does.
- Activity. Whether they post, comment, or changed jobs recently. A person who is active on LinkedIn is a person who reads their inbox.
- Timing. How fresh the signals are. A round announced last week is a reason to write now. A round from two years ago is trivia.
Each prospect then gets a short research pass: the company, the person, and what happened to both lately. That research is what the first message is built from, so the same work does two jobs. The post on how agaria writes a first message shows the result.
What the order is for
Ranking helps you review the strongest matches first. Roles, company context and recent activity provide evidence for the fit; daily action limits determine how quickly approved leads move through outreach.
A title alone does not establish a strong match. Review the company and role context before approving the lead, and change the brief if many results are irrelevant.
Where you stay in control
Automatic approval is a setting, not a default you are stuck with. With it on, agaria finds, approves and contacts prospects on its own, and follows up on its own, within your daily quotas. With it off, every lead and every message waits for you to say yes.
Either way, you can open any lead and read what agaria found about them next to the draft it wrote. If the reasoning looks wrong, you drop the lead, and it goes out to nobody.
It learns from your replies
The next lead search in this campaign also uses its own outreach results. Agaria compares profiles that replied or booked meetings with profiles that haven’t responded, then uses those patterns alongside your targeting brief to find more relevant leads.
The Free plan runs one campaign with five leads, which is enough to see the order and the reasons behind it before paying for anything.