Civil Miller-Watkins US Inactive
FRIENDS OF CIVIL
land | civilforsenate
Ad copy
www.civilforsenate.com Today is my Birthday and Super Tuesday. Do Two (2) Things for me: 1 - VOTE 2 - Donate to my Campaign for U.S. Senate to beat Marsha Blackburn I will not ask you to start at $580 unless you really want to...lol You can start and $85...LOL ************************************ Donate...Join Our Team...Share www.civilforsenate.com Followers #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 | 23.3/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 0.0 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | — |
| Days live | 1 (2024-03-05 → 2024-03-06) |
| Created | 2024-03-05 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | TN — Civil Miller-Watkins |
| Surfaced by | “senate:Civil Miller-Watkins” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag, family |
| Call to action | donate |
| Standout element | Gold '58' birthday balloon numbers above a patriotic Super Tuesday cake with American flags, merging birthday celebration with election urgency |
| Tactic | The birthday-as-fundraising-hook tactic uses personal warmth and humor ('lol') to lower donation resistance while the tiered ask structure ($5–$580) maximizes accessibility across donor levels. |
Where it ran (delivery by region)
| California | 13.0% |
| Florida | 11.5% |
| New York | 9.2% |
| Georgia | 7.2% |
| Texas | 6.4% |
| Pennsylvania | 6.1% |
| Louisiana | 4.5% |
Who saw it (delivery)
| 65+ · female | 0.3% |
| 45-54 · male | 0.3% |
| 45-54 · female | 0.2% |
| 55-64 · female | 0.2% |
| 55-64 · male | 0.1% |
| 18-24 · unknown | 0.5% |
| 25-34 · female | 11.4% |
| 18-24 · female | 52.1% |
| 25-34 · male | 9.6% |
| 18-24 · male | 22.8% |
| 35-44 · male | 0.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · female | 1.4% |
| 25-34 · unknown | 0.2% |
