Raja for Congress US Inactive
FRIENDS OF RAJA FOR CONGRESS
10,000 RESPONSES NEEDED BEFORE MIDNIGHT >>
SIGN ON TO PROTECT PUBLIC BROADCASTING AND RADIO
Ad copy
I’m livid. Republicans are out to SLASH funds for public broadcasting and radio. If they take even ONE SINGLE vote from us, our beloved news outlets like NPR and PBS face massive budget cuts. Will you take a stand with me and sign my emergency petition demanding funding for our public media? I need 10,000 signatures before midnight. >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 54.1/100 |
| Spend / Reach / Long. / Eff. | 56.4 · 80.0 · 26.7 · 53.2 |
| Spend range | USD 9,000–9,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 69.09 |
| Est. audience size | — |
| Days live | 98 (2021-03-08 → 2021-06-14) |
| Created | 2021-03-06 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — S Krishnamoorthi |
| Surfaced by | “senate:S Krishnamoorthi” |
🧠 AI analysis
| Issue | other |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | sign petition |
| Standout element | high-contrast black-and-white close-up of Mitch McConnell used as a villain visual anchor |
| Tactic | Uses manufactured urgency (10,000 signatures before midnight) combined with an ominous opponent portrait to drive list-building sign-ons through fear and anger over public media defunding. |
Where it ran (delivery by region)
| California | 16.2% |
| New York | 6.5% |
| Florida | 6.4% |
| Texas | 5.5% |
| Washington | 4.4% |
| Pennsylvania | 3.6% |
| Michigan | 3.2% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 55-64 · unknown | 0.3% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 12.8% |
| 35-44 · male | 0.8% |
| 45-54 · female | 2.8% |
| 65+ · female | 46.9% |
| 65+ · male | 24.7% |
| 55-64 · male | 7.6% |
| 35-44 · female | 1.0% |
| 45-54 · male | 2.0% |
| 65+ · unknown | 0.8% |
