Amy McGrath US Inactive
AMY MCGRATH FOR SENATE, INC.
⚠ 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.
Beat Mitch McConnell
Join Team McGrath
Ad copy
Washington is broken. Fixing it starts with defeating Mitch McConnell. If that sounds good to you, join Amy McGrath’s team today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.3/100 |
| Spend / Reach / Long. / Eff. | 46.5 · 87.0 · 30.3 · 65.4 |
| Spend range | USD 3,500–3,999 |
| Impressions | 250,000 – 299,999 |
| CPM (≈ $/1k impr) | USD 13.63 |
| Est. audience size | — |
| Days live | 111 (2019-12-04 → 2020-03-24) |
| Created | 2019-12-04 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KY — Amy Mcgrath |
| Surfaced by | “senate:Amy Mcgrath” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content removal notice replacing the actual ad creative |
| Tactic | The ad is invisible due to a platform policy violation for missing disclaimer, making the screenshot itself a meta-artifact of political ad enforcement rather than a persuasive creative. |
Where it ran (delivery by region)
| California | 8.5% |
| Florida | 7.0% |
| Kentucky | 6.7% |
| New York | 5.4% |
| Texas | 5.2% |
| Ohio | 4.7% |
| Michigan | 4.3% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 35-44 · male | 2.8% |
| 18-24 · female | 0.5% |
| 18-24 · male | 0.5% |
| 45-54 · male | 7.3% |
| 25-34 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
| 25-34 · female | 1.6% |
| 65+ · female | 26.9% |
| 55-64 · unknown | 0.2% |
| 45-54 · female | 7.9% |
| 55-64 · male | 13.9% |
| 65+ · male | 15.3% |
| 25-34 · male | 1.4% |
| 55-64 · female | 18.1% |
| 18-24 · unknown | 0.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · female | 3.0% |
