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.
Together, We Can Win This
Chip in to defeat Mitch McConnell and the swamp he created.
Ad copy
34 years of Mitch McConnell’s B.S. is enough. Chip in now to help Amy McGrath make this Mitch’s last term in the Senate.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 66.4/100 |
| Spend / Reach / Long. / Eff. | 67.8 · 100.0 · 37.7 · 60.1 |
| Spend range | USD 25,000–29,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 27.5 |
| Est. audience size | — |
| Days live | 138 (2019-12-04 → 2020-04-20) |
| 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 | anger |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content removal notice obscuring the actual ad creative |
| Tactic | The ad leverages 34 years of incumbency fatigue against McConnell with direct, expletive-adjacent language ('B.S.') to channel voter frustration into an immediate donation ask. |
Where it ran (delivery by region)
| California | 17.7% |
| New York | 8.4% |
| Massachusetts | 4.4% |
| Illinois | 4.3% |
| Florida | 3.9% |
| Washington | 3.9% |
| Texas | 3.8% |
Who saw it (delivery)
| 65+ · male | 9.2% |
| 25-34 · female | 4.1% |
| 18-24 · unknown | 0.0% |
| 35-44 · unknown | 0.4% |
| 55-64 · unknown | 0.3% |
| 18-24 · female | 0.4% |
| 45-54 · unknown | 0.3% |
| 25-34 · male | 3.0% |
| 18-24 · male | 0.4% |
| 55-64 · male | 8.0% |
| 45-54 · male | 7.2% |
| 65+ · unknown | 0.5% |
| 55-64 · female | 16.7% |
| 35-44 · female | 10.7% |
| 65+ · female | 19.8% |
| 45-54 · female | 12.9% |
| 35-44 · male | 5.9% |
| 25-34 · unknown | 0.3% |
