Dr. Bob Lebovics US Inactive
LEBOVICS FOR SENATE
Dr. Bob is a nationally renowned otolaryngologist and ENT surgeon who specializes in infectious and inflammatory disorders. In other words, he helps people breathe and helps them live a better life. That’s exactly why he’s running for U.S. Senate.
Dr. Bob is a nationally renowned otolaryngologist and ENT surgeon who specializes in infectious and inflammatory disorders. In other words, he helps people breathe and helps them live a better life. That’s exactly why he’s running for U.S. Senate.
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Performance proxies
| Overall score | 43.6/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 73.9 · 1.1 · 61.3 |
| Spend range | USD 1,500–1,999 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 23.33 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 5 (2026-05-21 → 2026-05-26) |
| Created | 2026-05-20 |
| Creative variants | 0 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NJ — Bob Lebovics |
| Surfaced by | “senate:Bob Lebovics” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | professional |
| Who pictured | workers labor, medical |
| Symbols | factory industry |
| Call to action | learn more |
| Standout element | Everyday worker in scrubs/blue collar setting delivering the testimonial directly to camera |
| Tactic | Uses a relatable working-class woman as a surrogate testimonial to build trust on jobs and manufacturing issues, grounding the political message in authentic blue-collar Ohio identity. |
Where it ran (delivery by region)
| New Jersey | 88.3% |
| Florida | 1.9% |
| Pennsylvania | 1.9% |
| New York | 1.7% |
| California | 0.6% |
| North Carolina | 0.5% |
| South Carolina | 0.5% |
Who saw it (delivery)
| 18-24 · female | 1.8% |
| 45-54 · male | 5.1% |
| 65+ · male | 21.8% |
| 65+ · female | 27.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 10.1% |
| 55-64 · female | 9.4% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 3.8% |
| 18-24 · male | 2.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 5.0% |
| 35-44 · female | 3.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 6.0% |
| 25-34 · female | 3.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
