Raja for Congress US Inactive
FRIENDS OF RAJA FOR CONGRESS
100,000 RESPONSES NEEDED BEFORE MIDNIGHT >>
SIGN ON TO SAVE THE POST OFFICE
Ad copy
Trump’s Postmaster General just released a plan that will slow mail down to a CRAWL. I’m appalled. People are depending on the USPS for life saving medicine and critical bills. This is NOT the time to be playing around with people’s livelihoods. I’m demanding that Dejoy resign. I need 10,000 Democrats to stand with me in demanding Trump’s Postmaster General resign NOW.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 61.8/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 85.0 · 47.7 · 54.9 |
| Spend range | USD 10,000–14,999 |
| Impressions | 200,000 – 249,999 |
| CPM (≈ $/1k impr) | USD 55.55 |
| Est. audience size | — |
| Days live | 174 (2021-03-17 → 2021-09-07) |
| Created | 2021-03-17 |
| 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 | sign petition |
| Standout element | Dark, shadowy close-up portrait of DeJoy beneath bold white demand headline creates a villainous framing |
| Tactic | Classic list-building attack tactic using a fabricated urgency deadline ('100,000 responses before midnight') combined with a villain portrait to drive petition sign-ons from the Democratic base. |
Where it ran (delivery by region)
| California | 16.8% |
| Florida | 6.6% |
| New York | 6.3% |
| Texas | 5.7% |
| Pennsylvania | 4.1% |
| Washington | 3.9% |
| Ohio | 3.3% |
Who saw it (delivery)
| Unknown · unknown | 0.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · male | 3.1% |
| 45-54 · female | 4.2% |
| 65+ · female | 41.9% |
| 55-64 · female | 15.3% |
| 65+ · unknown | 0.8% |
| 35-44 · male | 1.4% |
| 35-44 · unknown | 0.1% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 9.2% |
| 65+ · male | 22.0% |
| 35-44 · female | 1.5% |
