Dr. Bob Lebovics US Inactive
LEBOVICS FOR SENATE
Dr. Bob Lebovics 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.
Ad copy
Vote for MAGA warrior Dr. Bob Lebovics on Tuesday, June 2nd!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 37.2/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 61.7 · 0.3 · 61.0 |
| Spend range | USD 500–599 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 24.42 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 2 (2026-06-02 → 2026-06-04) |
| Created | 2026-06-02 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NJ — Bob Lebovics |
| Surfaced by | “senate:Bob Lebovics” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, medical |
| Symbols | capitol statue, us flag |
| Call to action | vote |
| Standout element | Side-by-side composite of Lebovics in a white lab coat next to Trump with the U.S. Capitol dome glowing behind them, visually equating the candidate with Trump's authority |
| Tactic | The ad leverages Trump endorsement association as its core persuasion tactic, using visual proximity and bold red text to signal MAGA alignment and transfer Trump's political brand to an otherwise unknown candidate. |
Where it ran (delivery by region)
| New Jersey | 86.4% |
| New York | 2.0% |
| Florida | 1.9% |
| Pennsylvania | 1.8% |
| California | 0.8% |
| Unknown | 0.7% |
| Texas | 0.6% |
Who saw it (delivery)
| 18-24 · female | 2.1% |
| 45-54 · male | 7.6% |
| 65+ · male | 13.1% |
| 65+ · female | 17.8% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 9.1% |
| 55-64 · female | 10.5% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 8.9% |
| 18-24 · male | 2.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.7% |
| 35-44 · female | 7.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 6.9% |
| 25-34 · female | 5.7% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
