Raja for Congress US Inactive
FRIENDS OF RAJA FOR CONGRESS
10,000 RESPONSES NEEDED
SIGN ON BEFORE MIDNIGHT >>
Ad copy
I have good news and bad news. Good news: Biden is ousting Trump’s officials from the board. Bad news: Trump’s postmaster general, Dejoy, already implemented cuts that Americans are feeling every day. I think we MUST undo the damage Dejoy’s done and protect the USPS from future sabotage. If you agree, then will you take the poll? I need 10,000 responses before midnight standing strong with the Post Office. >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.6/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 80.0 · 39.7 · 51.2 |
| Spend range | USD 10,000–14,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 90.91 |
| Est. audience size | — |
| Days live | 145 (2021-06-24 → 2021-11-16) |
| Created | 2021-06-17 |
| 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 | survey poll |
| Standout element | Unflattering photo of DeJoy with smirking expression set against a dark olive-toned background with bold urgent yellow headline |
| Tactic | Uses a fake-urgency poll mechanic and good news/bad news framing to drive list-building engagement while painting DeJoy as a villainous saboteur of a beloved institution. |
Where it ran (delivery by region)
| California | 15.1% |
| Florida | 7.2% |
| New York | 6.1% |
| Texas | 5.5% |
| Washington | 4.1% |
| Pennsylvania | 4.1% |
| Michigan | 3.5% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 55-64 · female | 10.5% |
| 35-44 · female | 0.6% |
| 65+ · male | 24.4% |
| 65+ · female | 53.3% |
| 55-64 · male | 6.2% |
| 65+ · unknown | 0.9% |
| 45-54 · male | 1.4% |
| 35-44 · male | 0.5% |
| 55-64 · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 1.8% |
