LEBOVICS FOR SENATE
Vote Dr. Bob Lebovics for U.S. Senate in the New Jersey Republican Primary. America First. Always. 🌐 lebovicsforsenate.com #ParentalRights #ProtectChildren #ChildProtection #PoliticalAd #NJPolitics #NJSenate #newjersey #Republican #GOP #AmericaFirst #Conservative #FightBack #commonsense #ProtectKids #ParentsRights #MedicalFreedom #NoOnGenderSurgery #taxpayermoney #NewJerseyVoters #NJVotes #NJPrimary #NJRepublican #june2nd #Democrat #Democrats #Liberal #Progressive #CoryBooker #njdemocrat
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 29.4/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 45.5 · 0.0 · 54.9 |
| Spend range | USD 200–299 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 55.45 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 1 (2026-06-02 → 2026-06-03) |
| Created | 2026-06-02 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NJ — Bob Lebovics |
| Surfaced by | “senate:Bob Lebovics” |
| Issue | healthcare |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, medical |
| Symbols | healthcare |
| Call to action | vote |
| Standout element | Candidate striding heroically in white doctor coat surrounded by swirling papers in a cinematic AI-generated studio explosion |
| Tactic | The ad leverages the candidate's physician identity and action-hero visual framing to project authority and fearlessness on parental rights and medical freedom issues, transparently labeled as AI-generated content. |
| New Jersey | 94.8% |
| Florida | 1.0% |
| Pennsylvania | 0.9% |
| New York | 0.6% |
| Unknown | 0.6% |
| South Carolina | 0.3% |
| North Carolina | 0.2% |
| 18-24 · female | 0.4% |
| 45-54 · male | 7.7% |
| 65+ · male | 20.7% |
| 65+ · female | 23.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 14.8% |
| 55-64 · female | 12.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.5% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 4.8% |
| 35-44 · female | 3.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 3.7% |
| 25-34 · female | 1.3% |
| 65+ · unknown | 0.3% |