CORY BOOKER FOR SENATE
I was in Arizona at a town hall because we must hold our representatives accountable. Congress cannot continue to stand idly by while Trump and Musk use our government to abuse the law and enrich themselves. These are not normal times in America. But we are not powerless. There are tens of thousands of Americans standing up and fighting back against the Trump administration every single day. They’re showing up at town halls like the one I just attended. They’re voicing their opinions to their Republican representatives. They’re showing up to voting booths across the country. They’re making Good Trouble. But we need your help to keep it going. Every action you take, no matter how small it may seem, will put us one step closer to winning elections and winning this fight for our country, and building a better future. If you’re with me, consider making a donation of any amount to my campaign.
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| Overall score | 39.8/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 61.7 · 10.2 · 59.7 |
| Spend range | USD 600–699 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 28.87 |
| 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” |
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Booker holding a microphone mid-speech against a moody blue-purple backdrop conveying activist energy |
| Tactic | Pairs a populist outsider-accountability frame (Trump/Musk enriching themselves) with a grassroots momentum narrative to convert urgency into ActBlue donations. |
| California | 18.7% |
| New York | 6.8% |
| Florida | 5.3% |
| New Jersey | 5.0% |
| Texas | 4.4% |
| Washington | 4.2% |
| Massachusetts | 4.0% |
| 18-24 · female | 0.9% |
| 45-54 · male | 3.4% |
| 65+ · male | 10.7% |
| 65+ · female | 34.2% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.1% |
| 55-64 · female | 17.8% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.0% |
| 18-24 · male | 0.7% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.7% |
| 35-44 · female | 7.1% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.6% |
| 25-34 · female | 3.6% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |