Raja for Congress US Inactive
FRIENDS OF RAJA FOR CONGRESS
SAVE THE POST OFFICE -- SIGN ON >>
10,000 SIGNATURES NEEDED BEFORE MIDNIGHT!
Ad copy
I’m livid. I just learned that Trump denied the US Postal Service’s plea for emergency funding. I refuse to let the Postal Service and our Post Offices collapse exactly when Americans are relying on them more than ever before! I need 10,000 signatures on my emergency petition demanding immediate protections for the Postal Service >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.8/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 70.7 · 26.2 · 57.1 |
| Spend range | USD 2,000–2,499 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 40.9 |
| Est. audience size | — |
| Days live | 96 (2020-06-11 → 2020-09-15) |
| Created | 2020-06-11 |
| 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 | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Oversized bold red text on a postage-stamp-styled card with a 'SIGN NOW!' button mimicking a real clickable UI element |
| Tactic | Anger-driven list-building tactic using an urgent artificial deadline ('10,000 signatures before midnight') and a direct Trump attack to drive petition sign-ons and email capture. |
Where it ran (delivery by region)
| California | 12.4% |
| New York | 9.7% |
| Texas | 6.2% |
| Illinois | 4.4% |
| Washington | 4.3% |
| Florida | 4.2% |
| Massachusetts | 4.1% |
Who saw it (delivery)
| 18-24 · unknown | 0.1% |
| 55-64 · male | 9.2% |
| 55-64 · unknown | 0.3% |
| 65+ · unknown | 0.7% |
| 25-34 · male | 3.0% |
| 35-44 · male | 3.3% |
| 18-24 · female | 1.9% |
| 45-54 · male | 5.2% |
| 45-54 · female | 6.5% |
| 35-44 · unknown | 0.2% |
| 65+ · female | 28.8% |
| 65+ · male | 16.1% |
| 55-64 · female | 14.0% |
| 35-44 · female | 4.2% |
| 25-34 · female | 5.2% |
| 25-34 · unknown | 0.1% |
| 45-54 · unknown | 0.2% |
| 18-24 · male | 1.0% |
