Markwayne Mullin US Inactive
MULLIN FOR CONGRESS
Take our poll
Do you agree that President Trump and the Senate should fill this seat?
Ad copy
Mitch McConnell confirmed that the Senate will vote on President Trump’s Supreme Court justice nominee, and the left immediately started the name calling and attacks. Our country deserves to have 9 justices on the Supreme Court and constitutionally, it is our president's duty to nominate. Do you agree that President Trump and the Senate should fill this seat?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.7/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 53.0 · 1.7 · 64.3 |
| Spend range | USD 100–199 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 15.74 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 7 (2020-10-06 → 2020-10-13) |
| Created | 2020-10-06 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OK — Markwayne Mullin |
| Surfaced by | “senate:Markwayne Mullin” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | list building survey |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | capitol statue |
| Call to action | sign petition |
| Standout element | Bold gavel graphic with 'FILL THAT SEAT' in large white text over dark blue background with yellow 'ADD YOUR NAME' button |
| Tactic | The poll/petition framing is a classic list-building tactic disguised as civic engagement, using the Supreme Court seat urgency to capture supporter contact information while reinforcing partisan identity against 'the left.' |
Where it ran (delivery by region)
| Oklahoma | 100.0% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 55-64 · female | 19.1% |
| 25-34 · female | 0.9% |
| 35-44 · unknown | 0.0% |
| 35-44 · female | 2.2% |
| 45-54 · female | 7.3% |
| 65+ · male | 16.0% |
| 55-64 · male | 12.8% |
| 45-54 · male | 5.9% |
| 55-64 · unknown | 0.3% |
| 65+ · female | 30.2% |
| 18-24 · male | 0.3% |
| 35-44 · male | 2.9% |
| 65+ · unknown | 0.4% |
| 18-24 · female | 0.2% |
| 25-34 · male | 1.1% |
| 45-54 · unknown | 0.2% |
