Dr. Bob Lebovics US Inactive
LEBOVICS FOR SENATE
Ad copy
JUNE 2ND Vote Dr. Bob Lebovics for U.S. Senate in the New Jersey Republican Primary. 🌐 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)
Performance proxies
| Overall score | 29.1/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 45.5 · 0.3 · 58.7 |
| Spend range | USD 100–199 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 33.23 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 2 (2026-05-31 → 2026-06-02) |
| Created | 2026-05-31 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NJ — Bob Lebovics |
| Surfaced by | “senate:Bob Lebovics” |
🧠 AI analysis
| Issue | healthcare |
| Framing | positive candidate |
| Message type | gotv mobilization |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | vote |
| Standout element | AI-generated rainy noir diner scene labeled 'AI GENERATED' in bottom corner, cinematic and foreboding |
| Tactic | Uses an ominous AI-generated cinematic scene to evoke unease and urgency, priming viewers emotionally before delivering a GOTV message rooted in parental rights and medical freedom themes. |
Where it ran (delivery by region)
| New Jersey | 96.5% |
| New York | 0.7% |
| Pennsylvania | 0.6% |
| Florida | 0.6% |
| Texas | 0.2% |
| Maryland | 0.2% |
| California | 0.2% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 18-24 · male | 0.6% |
| 25-34 · female | 0.5% |
| 25-34 · male | 4.0% |
| 35-44 · female | 1.3% |
| 35-44 · male | 4.4% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 3.6% |
| 45-54 · male | 6.0% |
| 45-54 · unknown | 0.2% |
| 55-64 · female | 10.0% |
| 55-64 · male | 17.7% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 25.8% |
| 65+ · male | 24.9% |
| 65+ · unknown | 0.3% |
