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.
Let’s Beat Mitch McConnell
Join the team today.
Ad copy
When Amy McGrath sent her senator, Mitch McConnell, a letter as a child, he never responded. But on the day she challenged him for the Senate, it took him just 37 minutes to lash out—that tells you everything you need to know about Mitch and his priorities. Help us take our democracy back. Join the team.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 64.2/100 |
| Spend / Reach / Long. / Eff. | 63.0 · 100.0 · 30.3 · 63.5 |
| Spend range | USD 15,000–19,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 17.5 |
| 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 | persuasion |
| Emotional appeal | anger |
| Production tier | unknown |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Content removal notice replacing the actual ad creative, exposing a disclaimer compliance issue |
| Tactic | The ad copy uses a personal David-vs-Goliath narrative — a child's ignored letter versus McConnell's rapid 37-minute attack response — to frame him as self-serving and out of touch, driving urgency to 'Beat Mitch.' |
Where it ran (delivery by region)
| California | 9.4% |
| New York | 8.3% |
| Florida | 7.2% |
| Texas | 6.9% |
| Pennsylvania | 4.3% |
| Illinois | 4.2% |
| Georgia | 4.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 25-34 · female | 2.0% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 3.7% |
| 45-54 · unknown | 0.2% |
| 25-34 · male | 3.3% |
| 45-54 · female | 7.9% |
| 55-64 · female | 14.3% |
| 35-44 · male | 6.5% |
| 18-24 · unknown | 0.0% |
| 65+ · female | 14.8% |
| 18-24 · male | 1.3% |
| 65+ · unknown | 0.2% |
| 18-24 · female | 1.1% |
| 45-54 · male | 12.4% |
| 55-64 · male | 17.9% |
| 65+ · male | 14.0% |
| 55-64 · unknown | 0.2% |
