Cory Booker US Inactive
CORY BOOKER FOR SENATE
Stand with Cory - support our movement
Ad copy
Movements that make real, lasting change take time. They take individual and collective efforts of all sizes and scopes. Our opposition wants us to feel demoralized, divided, frustrated, overwhelmed, and incapable of making a difference. They want us to feel powerless. We are not powerless. We must not allow them to discourage us from bringing the change we need to Washington. Our resilience, our determination, our acts of courage and commitment are contagious. Do not stop, do not give up, we are the change makers our nation needs right now.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 45.7/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 73.9 · 10.2 · 63.9 |
| Spend range | USD 1,000–1,499 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 16.66 |
| Est. audience size | — |
| Days live | 38 (2025-04-29 → 2025-06-06) |
| Created | 2025-04-29 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NJ — Cory Booker |
| Surfaced by | “senate:Cory Booker” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | diverse crowd |
| Symbols | none |
| Call to action | donate |
| Standout element | Grassroots protest crowd with raised signs juxtaposed against a framing of resilience against demoralization |
| Tactic | The ad uses a classic mobilization tactic — naming the enemy's emotional weapon (making supporters feel powerless) and reframing participation as an act of defiant courage to drive donations. |
Where it ran (delivery by region)
| California | 13.7% |
| New York | 6.1% |
| Florida | 5.7% |
| New Jersey | 5.1% |
| Washington | 4.8% |
| Massachusetts | 4.5% |
| Pennsylvania | 4.1% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 1.8% |
| 65+ · male | 11.7% |
| 65+ · female | 50.1% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 4.3% |
| 55-64 · female | 19.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.8% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 0.9% |
| 35-44 · female | 2.3% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.4% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.9% |
