Every reply helps Agaria find your next leads.

Agaria analyzes which profiles reply, which lead to booked meetings and which don’t respond. Once a campaign has enough of a track record, typically around 10 replies or 5 booked meetings, its next lead search leans toward those patterns while still trying new ones, so it never locks onto one early batch.

Your campaign’s results guide its next search.

See which types of profiles respond.

Agaria compares the profiles of leads who replied or booked a meeting with those who haven’t responded. It looks for patterns in their roles, industries and company sizes to understand which audiences engage with this campaign.

Find more of the profiles that engage.

When Agaria looks for more leads in the same campaign, it uses those results alongside your targeting brief. Profiles similar to the ones that replied or booked meetings help guide the search, while patterns among non-responders help refine it.

Good questions. Clear answers.

About Self-Learning AI

What does Agaria learn from?

The outcomes of your outreach: who replied, who booked a meeting and who hasn’t responded. Agaria compares those leads’ profiles to understand which types of people engage with the campaign.

When does Agaria use what it learns?

Once the campaign has enough of a track record, around 10 replies or 5 booked meetings, and again as more come in. Before that, results are too thin to learn from, so searches stay unbiased.

Can I change the direction of a campaign?

Yes. Update your targeting brief to change who you want to reach. Agaria uses that brief alongside the campaign’s reply and meeting patterns when it searches for more leads.

One connected outreach workflow.