Civil Miller-Watkins US Inactive
Friends of Civil Miller-Watkins, Bethany Miller, Treasurer
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Ad copy
What my momma said! Jobs. Affordable housing. Shopping at home. www.civil4tn.com https://secure.actblue.com/donate/civil4tndonation?refcode=Mom #TnTogetherWeWill #Civil4tn #EverydayPeopleEveryday
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 25.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 1.1 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 5 (2020-09-09 → 2020-09-14) |
| Created | 2020-09-09 |
| 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 | jobs labor |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content-removed placeholder replacing the actual ad creative |
| Tactic | The ad leverages a relatable 'what my momma said' framing to humanize the candidate around kitchen-table issues (jobs, housing, local shopping), pairing organic warmth with a direct ActBlue donation link, though the content was removed by Facebook for disclaimer non-compliance, undermining its reach. |
Where it ran (delivery by region)
| Tennessee | 79.7% |
| Mississippi | 20.3% |
| Unknown | 0.1% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 65+ · male | 7.1% |
| 45-54 · female | 12.7% |
| 25-34 · male | 3.3% |
| 35-44 · female | 6.9% |
| 18-24 · female | 9.9% |
| 25-34 · female | 5.9% |
| 35-44 · male | 5.6% |
| 18-24 · male | 4.5% |
| 65+ · female | 12.9% |
| 55-64 · female | 14.5% |
| 45-54 · male | 6.9% |
| 55-64 · male | 9.1% |
| 18-24 · unknown | 0.4% |
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
