AI Product Showcase - Dalia

Career sites lose most of their visitors before they ever apply. Job seekers browse openings, compare benefits, and leave without filling out a form, especially in high-shortage fields like nursing, radiology, trucking, and manufacturing where candidates hold the upper hand and are shopping across multiple employers at once. A conversion platform built for recruiters and sourcers addresses that gap by identifying anonymous career-site visitors and surfacing the ones most likely to engage.

The approach centers on a few core capabilities:

• Capturing visitors who browse a career site but leave without applying, so that traffic isn't simply lost
• Running hands-free, personalized lead activation campaigns over email and SMS to those visitors automatically, without requiring recruiters to build or manage the outreach themselves
• Scoring and surfacing the candidates who show the strongest engagement signals, such as clicking on job matches or spending extended time reviewing benefits pages
• Providing a candidate dashboard that shows how often someone has visited the career site, what content they've viewed, and whether they appear to be considering competing employers
• Flagging time-sensitive opportunities, such as a candidate who is actively researching a competitor's openings, so recruiters know who to call first

The underlying idea is that recruiting and sourcing success depends heavily on speed and prioritization. With shrinking budgets and shrinking teams, recruiters don't have time to chase every career-site visitor equally. Instead of guessing who to follow up with, they get a ranked view of who has clicked on matches, browsed content, or spent meaningful time on the site recently, along with a clear signal on who is most likely to reply.

The goal is to shift recruiter time away from managing campaigns and email inboxes and back toward the part of the job that drives conversions: direct conversations with genuinely interested candidates. Rather than treating a career site as a static job board, the model treats it as a live source of intent data, one that reveals hidden talent pools already engaging with an employer's openings, long before a formal application is ever submitted.