Cory Booker US Inactive
CORY BOOKER FOR SENATE
Please add your name
Ad copy
Many of you know how near animal welfare is to my heart — and how it is inextricably tied to many of the major issues we’re still working in the Senate to solve. 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 | 40.0/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 55.8 · 24.5 · 62.5 |
| Spend range | USD 200–299 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 19.96 |
| Est. audience size | — |
| Days live | 90 (2022-10-27 → 2023-01-25) |
| Created | 2022-10-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | NJ — Cory Booker |
| Surfaced by | “senate:Cory Booker” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | list building survey |
| Emotional appeal | empathy |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Booker crouching warmly with a dog, humanizing the policy ask with genuine emotional warmth |
| Tactic | The ad deploys a personal values frame — pairing a legislative win with an approachable, empathetic image of Booker with a dog — to convert emotional resonance into a list-building petition signature. |
Where it ran (delivery by region)
| California | 12.3% |
| New York | 8.8% |
| Florida | 8.5% |
| Pennsylvania | 6.4% |
| Texas | 6.2% |
| Illinois | 4.7% |
| New Jersey | 4.4% |
Who saw it (delivery)
| 45-54 · unknown | 0.2% |
| 25-34 · female | 13.3% |
| 45-54 · male | 1.2% |
| 45-54 · female | 20.2% |
| 35-44 · female | 18.6% |
| 55-64 · female | 18.8% |
| 18-24 · female | 3.1% |
| 18-24 · male | 0.3% |
| 25-34 · male | 1.2% |
| 18-24 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
| 55-64 · male | 1.3% |
| 65+ · unknown | 0.1% |
| 65+ · male | 1.7% |
| 25-34 · unknown | 0.3% |
| 35-44 · male | 1.3% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 18.0% |
