Dr. Bob Lebovics US Inactive
LEBOVICS FOR SENATE
Ad copy
Vote Dr. Bob Lebovics for U.S. Senate in the New Jersey Republican Primary. America First. Always. 🌐 lebovicsforsenate.com #Senate #coreybooker #NJSenate #NJPrimary #nj #democrat #republican #republicans #RepublicanPrimary #primary #primaryelection #NJRepublican #NJPrimary #VoteNJ #NewJerseyPolitics #Senate2026 #DrBob #lebovics #JerseyStrong #njdeservesbetter #CoryBookerOut #NJPolitics #TaxAndSpend #DoNothingSenator #whereiscorybooker #NJDemocrat #NewJerseyDemocrats #NJBlue #BlueNewJersey #NJLeft #NJProgressive #njforward #NJVoters #NewarkNJ #JerseyCity #HobokenNJ #patersonnj
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 31.9/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 51.9 · 0.3 · 63.5 |
| Spend range | USD 100–199 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 17.59 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 2 (2026-05-30 → 2026-06-01) |
| Created | 2026-05-30 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | NJ — Bob Lebovics |
| Surfaced by | “senate:Bob Lebovics” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | opponent |
| Symbols | money cash |
| Call to action | vote |
| Standout element | AI-generated image of opponent lounging at tropical beach in suit holding a coconut drink and gold bar, labeled 'AI GENERATED' |
| Tactic | The ad uses a transparently AI-generated caricature of Cory Booker living lavishly to portray him as out-of-touch and neglecting constituents, relying on mockery and visual absurdity rather than policy contrast. |
Where it ran (delivery by region)
| New Jersey | 93.9% |
| Pennsylvania | 1.4% |
| Florida | 0.9% |
| New York | 0.7% |
| North Carolina | 0.3% |
| South Carolina | 0.2% |
| Maryland | 0.2% |
Who saw it (delivery)
| 18-24 · male | 0.0% |
| 25-34 · female | 0.4% |
| 25-34 · male | 0.9% |
| 25-34 · unknown | 0.0% |
| 35-44 · female | 1.1% |
| 35-44 · male | 3.4% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 3.3% |
| 45-54 · male | 6.6% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 10.8% |
| 55-64 · male | 15.7% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 26.6% |
| 65+ · male | 30.6% |
| 65+ · unknown | 0.4% |
