FRIENDS OF RAJA FOR CONGRESS
SIGN ON BEFORE MIDNIGHT >>
SIGN ON BEFORE MIDNIGHT >>
First, Republicans BLOCKED an investigation into the January 6th Insurrection. Then, they blindly threw their support behind FIVE rioters running for office. NOW, I need you. I need 10,000 signatures on my emergency petition barring ANYONE who participated in the January 6th riots from holding office. Can I count on your signature? >>
First, Republicans BLOCKED an investigation into the January 6th Insurrection. Then, they blindly threw their support behind FIVE rioters running for office. NOW, I need you. I need 10,000 signatures on my emergency petition barring ANYONE who participated in the January 6th riots from holding office. Can I count on your signature? >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 52.7/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 73.9 · 33.3 · 52.8 |
| Spend range | USD 5,000–5,999 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 73.33 |
| Est. audience size | — |
| Days live | 122 (2021-09-08 → 2022-01-08) |
| Created | 2021-09-08 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — S Krishnamoorthi |
| Surfaced by | “senate:S Krishnamoorthi” |
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Red-tinted, dramatically lit close-up of Trump looking menacing with bold white text overlay demanding action |
| Tactic | Uses an urgent emergency petition framing with a reddened, ominous image of Trump to trigger fear and outrage, converting that emotion into a list-building signature action with an artificial scarcity deadline. |
| California | 15.1% |
| Florida | 7.5% |
| New York | 5.7% |
| Texas | 5.6% |
| Illinois | 4.0% |
| Pennsylvania | 3.9% |
| Michigan | 3.9% |
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.0% |
| 55-64 · unknown | 0.3% |
| 65+ · unknown | 0.7% |
| 65+ · male | 23.8% |
| 55-64 · female | 13.7% |
| 65+ · female | 44.6% |
| 55-64 · male | 9.4% |
| 45-54 · male | 2.6% |
| 45-54 · female | 3.0% |
| 35-44 · male | 0.8% |
| 35-44 · female | 1.0% |