Civil Miller-Watkins US Inactive
Friends of Civil Miller-Watkins, Bethany Miller, Treasurer
Ad copy
***GET A FRIEND TO MATCH YOUR FAITH IN CIVIL*** Mid-Night Tonight is the end of the fundraising quarter. After the debate we saw last night, we are MORE COMMITTED and DEDICATED to winning this seat for the EveryDay-People of Dist 26 and Tennessee. That same Whitehouse attitude exist in our State House and we Have To MAKE A CHANGE!! Because if we don't, what we saw last night is what we will get here in TN. ***GET A FRIEND TO MATCH YOUR FAITH IN CIVIL*** www.civil4tn.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 19.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 0.6 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 3 (2020-09-30 → 2020-10-03) |
| Created | 2020-09-30 |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content-removed placeholder that reveals the ad was flagged for policy violations |
| Tactic | End-of-quarter urgency combined with debate momentum and peer matching appeal drives small-dollar donations by framing giving as an act of faith in the candidate against an entrenched 'White House attitude' in state government. |
Where it ran (delivery by region)
| Tennessee | 97.2% |
| Arkansas | 1.7% |
| Mississippi | 1.1% |
Who saw it (delivery)
| 35-44 · unknown | 0.2% |
| 55-64 · unknown | 0.2% |
| 65+ · male | 5.4% |
| 35-44 · male | 7.9% |
| 45-54 · female | 12.7% |
| 25-34 · male | 12.6% |
| 25-34 · female | 8.5% |
| 65+ · female | 12.1% |
| 45-54 · male | 7.8% |
| 35-44 · female | 9.3% |
| 18-24 · male | 2.5% |
| 55-64 · male | 6.7% |
| 55-64 · female | 12.4% |
| 18-24 · female | 1.9% |
