Cory Booker US Inactive
CORY BOOKER FOR SENATE
Please add your name
Ad copy
Family, I need your help. Many of you know how near animal welfare is to my heart. That’s why I’m proud to say that the Senate recently passed my FDA Modernization Act, which ends the unnecessary and harmful practice of forcing companies to test on animals. Please, add your name to urge the House to pass my FDA Modernization Act so President Biden can sign it into law.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 64.0/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 83.1 · 64.5 · 63.6 |
| Spend range | USD 3,000–3,499 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 17.33 |
| Est. audience size | — |
| Days live | 235 (2023-03-27 → 2023-11-17) |
| Created | 2023-03-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | NJ — Cory Booker |
| Surfaced by | “senate:Cory Booker” |
🧠 AI analysis
| Issue | other |
| Framing | issue advocacy |
| Message type | list building survey |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | bold black call-to-action text on a soft pink gradient background creating an urgent yet compassionate feel |
| Tactic | The ad uses a personal, community-oriented appeal ('Family, I need your help') combined with a legislative win to build credibility and motivate list-building sign-ups around an emotionally resonant niche issue. |
Where it ran (delivery by region)
| New York | 12.5% |
| California | 11.5% |
| Florida | 6.3% |
| Pennsylvania | 6.3% |
| New Jersey | 5.1% |
| Illinois | 4.4% |
| Massachusetts | 4.2% |
Who saw it (delivery)
| 25-34 · unknown | 0.3% |
| 55-64 · male | 4.1% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.4% |
| 55-64 · unknown | 0.4% |
| 18-24 · female | 0.4% |
| 35-44 · male | 1.8% |
| 55-64 · female | 21.9% |
| 65+ · female | 28.4% |
| 65+ · unknown | 0.5% |
| 45-54 · female | 16.3% |
| 25-34 · female | 4.3% |
| 35-44 · female | 10.7% |
| 45-54 · male | 2.6% |
| 65+ · male | 6.4% |
| 45-54 · unknown | 0.3% |
| 25-34 · male | 1.0% |
| 18-24 · unknown | 0.1% |
