Christy Cauble Davis for Kansas US Inactive
Christy Cauble Davis for Kansas
⚠ 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.
Meet US House Candidate Christy Cauble Davis in Great Bend
Great Bend Public Library
Ad copy
Christy is excited to visit her mom's home county, Barton County, on Saturday February 29. We'll be at the Great Bend Public Library for the Barton County Dems February Meeting. Please join us!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 28.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 45.5 · 2.2 · 67.0 |
| Spend range | <USD 99 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 11.0 |
| Est. audience size | — |
| Days live | 9 (2020-02-18 → 2020-02-27) |
| Created | 2020-02-18 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | KS — Christy Davis |
| Surfaced by | “senate:Christy Davis” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | neutral |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content-removal notice due to missing disclaimer replaces the actual ad creative |
| Tactic | The ad was removed by Facebook for a missing disclaimer, so the persuasion tactic — a grassroots community meet-and-greet appeal leveraging family ties to Barton County — is entirely obscured by the platform's policy enforcement notice. |
Where it ran (delivery by region)
| Kansas | 99.9% |
| Unknown | 0.1% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 45-54 · male | 5.4% |
| 25-34 · unknown | 0.2% |
| 65+ · unknown | 0.1% |
| 55-64 · unknown | 0.3% |
| 18-24 · male | 4.1% |
| 18-24 · female | 5.4% |
| 25-34 · male | 5.6% |
| 65+ · male | 8.2% |
| 45-54 · female | 9.4% |
| 55-64 · female | 12.4% |
| 35-44 · female | 12.2% |
| 55-64 · male | 7.8% |
| 35-44 · male | 5.7% |
| 25-34 · female | 10.3% |
| 65+ · female | 12.7% |
| 18-24 · unknown | 0.1% |
