Civil Miller-Watkins US Inactive
FRIENDS OF CIVIL
Ad copy
www.civilforsenate.com We know that MAGA REPUBLICANS and Marsha Blackburn believe whatever Trump Believes. Trump in Jail wearing his Trump Kicks is NOT going to MAKE Black folk vote Republican. I am BLACK and INSULTED AGAIN! Trump Says OUT LOUD what MAGA Republicans are Really Thinking. ***************VOTE************** With YOUR VOTE, I WILL Beat Marsha Blackburn Donate...Join Our Team...Vote www.civilforsenate.com @Everyone #TogetherWeWin #OneKitchenTableAtATime #DoItAnyway #NeverQuit #FightForTheRight #OurFutureWins #SaveOurDemocracy #WomenAreFree #AWomansChoice #PublicSchoolsAFirstBestChoice #Hope #News #Motivation #Freedom #FightingForFreedom
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 23.4/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 0.3 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 2 (2024-03-03 → 2024-03-05) |
| Created | 2024-03-02 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TN — Civil Miller-Watkins |
| Surfaced by | “senate:Civil Miller-Watkins” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | opponent |
| Symbols | none |
| Call to action | vote |
| Standout element | Doctored image of Trump behind jail bars, mouth open in distress |
| Tactic | The ad uses visceral racial-pride messaging and a manipulated image of Trump imprisoned to mobilize Black voters by framing Republican outreach as insulting and tone-deaf. |
Where it ran (delivery by region)
| Tennessee | 99.2% |
| Mississippi | 0.6% |
| Arkansas | 0.2% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 35-44 · female | 1.4% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 3.1% |
| 25-34 · female | 0.7% |
| 45-54 · male | 13.0% |
| 25-34 · male | 3.6% |
| 65+ · female | 17.1% |
| 55-64 · female | 8.3% |
| 55-64 · male | 18.1% |
| 18-24 · male | 1.7% |
| 35-44 · male | 8.5% |
| 55-64 · unknown | 0.2% |
| 65+ · unknown | 0.3% |
| 35-44 · unknown | 0.2% |
| 65+ · male | 23.0% |
