Overview

Leoforce’s Programmatic Job Advertising is an AI-powered recruitment advertising service that continuously optimizes job ad spend toward qualified applicants and hires rather than mere clicks. The platform uses machine learning to learn from recruiter feedback and hiring outcomes, dynamically reallocating budget to sources and placements that generate higher-quality applicants. The goal is to lower cost-per-hire, reduce recruiter time spent on unqualified applicants, and improve time-to-hire by prioritizing ads that convert into interviews and hires.

Features and Capabilities

• Core optimization: Leverages machine learning to optimize ad delivery for qualified applicants and hires rather than clicks.
• Outcome-based bidding: Adjusts ad spend in real time using hiring outcome signals and recruiter feedback.
• Job posting optimization: Supports job ad copy and targeting optimizations to improve applicant fit and completion rates.
• Integration with ATS and workflows: Integrates with ATS/HR stacks to feed results and learn from hire/interview outcomes.
• Advanced analytics & reporting: Provides campaign-level analytics focused on applicant quality, interview rates, and hires (not just clicks).
• Cost-efficiency: Intends to reduce wasted ad spend by shifting budget away from low-quality sources.
• Candidate rediscovery + pooling: Works alongside candidate-rediscovery and talent-pooling features to surface internal or past applicants for new roles.
• Support for high-volume hiring: Designed to scale for bulk recruitment campaigns and automate sourcing and nurturing for volume roles.
• AI-driven outreach & engagement: Couples ad campaigns with automated candidate engagement to improve conversion to completed applications.