Raja for Congress US Inactive
FRIENDS OF RAJA FOR CONGRESS
10,000 SIGNATURES NEEDED BEFORE MIDNIGHT >>
Sign Dr. Fauci's Thank You Card! >>
Ad copy
After facing disgusting attacks from Trump and his supporters, Dr. Fauci is still continuing to fight for the American people. He’s working with President Biden to ensure we tap the resources and technology our country needs to vaccinate everyone. For all his hard work, we have to thank Dr. Fauci. I need 10,000 supporters to sign my thank you card before midnight. Can I count on your signature? >>
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 61.0/100 |
| Spend / Reach / Long. / Eff. | 55.2 · 80.0 · 54.8 · 54.1 |
| Spend range | USD 8,000–8,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 61.81 |
| Est. audience size | — |
| Days live | 200 (2021-03-08 → 2021-09-24) |
| 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 | healthcare |
| Framing | issue advocacy |
| Message type | list building survey |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | medical |
| Symbols | healthcare |
| Call to action | sign petition |
| Standout element | Bold orange-and-blue graphic treatment of Dr. Fauci with high-contrast 'THANK YOU DR. FAUCI' text creating a poster-like hero image |
| Tactic | Urgency-driven list-building tactic using a midnight deadline and a sympathetic third-party figure (Fauci) to collect signatures and expand the donor/supporter email list while implicitly attacking Trump. |
Where it ran (delivery by region)
| California | 17.6% |
| Florida | 7.3% |
| New York | 6.5% |
| Texas | 5.8% |
| Pennsylvania | 3.8% |
| Washington | 3.5% |
| Michigan | 3.1% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 65+ · unknown | 0.7% |
| 55-64 · unknown | 0.3% |
| 35-44 · male | 1.0% |
| 35-44 · female | 1.5% |
| 55-64 · male | 7.0% |
| 45-54 · female | 4.6% |
| 45-54 · male | 2.5% |
| 65+ · female | 48.4% |
| 65+ · male | 17.2% |
| 55-64 · female | 16.6% |
