According to the Army’s own write-up, Staff Sgt. Victoria Ortiz is being honored at the Pentagon as one of the U.S. Army’s fiscal year 2025 “top recruiters.” The article does not name a more specific award title beyond this national‑level top‑recruiter recognition.
Ortiz relies mainly on Facebook and Instagram, where she posts content shaped by questions and concerns she hears from applicants, and then directly engages with people who respond (e.g., answering questions in comments or messages). She works with a digital media specialist who helps turn her ideas into polished posts and videos, allowing her to reach prospects she likely would not contact through school visits or other traditional recruiting methods.
Her mentoring is highly hands‑on and individualized: she focuses on building trust with both applicants and their families, stays closely involved through key steps like the Military Entrance Processing Station (for example, advocating so a recruit’s mother could be present at contract signing), holds in‑person activities such as group physical‑fitness sessions with “Future Soldiers” at her recruiting office, and maintains ongoing, honest communication to address recruits’ questions and concerns.
Ortiz’s specific style is personal to her, but it clearly fits into a broader Army recruiting shift that emphasizes digital outreach plus more personalized, relationship‑based recruiting. The Army and other services now encourage recruiters to use social media as part of official digital marketing, while also stressing individualized mentoring to improve the “personalized experience” for potential recruits.
The article credits Ortiz’s approach with strengthening trust, engagement, and overall recruiting outcomes in her work, but it does not provide hard numbers (such as how many extra recruits she brought in). More broadly, Army and GAO reporting indicate that effective digital marketing and more personalized recruiting can expand reach and improve interest in enlisting, yet specific, quantified impacts from Ortiz’s methods are not publicly documented.