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 Amy McGrath’s team
Ad copy
I’m a retired Marine, a fighter pilot, a wife, and a mom of 3. I’m preparing for my toughest fight yet: defeating Mitch McConnell. Will you help?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 61.3/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 94.0 · 30.3 · 61.5 |
| Spend range | USD 10,000–14,999 |
| Impressions | 500,000 – 599,999 |
| CPM (≈ $/1k impr) | USD 22.73 |
| 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 | candidate character bio |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | military |
| Call to action | donate |
| Standout element | Facebook content removal notice displayed as the ad itself, exposing a disclaimer compliance issue |
| Tactic | The ad leverages McGrath's military biography as a credibility foundation before pivoting to an anti-McConnell fundraising ask, using personal identity stacking (Marine, pilot, wife, mom) to build trust and urgency. |
Where it ran (delivery by region)
| California | 9.5% |
| Florida | 7.6% |
| New York | 5.9% |
| Texas | 5.9% |
| Kentucky | 4.8% |
| Ohio | 4.7% |
| Pennsylvania | 4.4% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 35-44 · male | 3.4% |
| 65+ · unknown | 0.3% |
| 55-64 · unknown | 0.2% |
| 35-44 · female | 3.1% |
| 18-24 · male | 0.6% |
| 25-34 · male | 1.8% |
| 25-34 · female | 1.7% |
| 55-64 · female | 19.0% |
| 18-24 · unknown | 0.0% |
| 45-54 · female | 8.1% |
| 65+ · female | 25.0% |
| 65+ · male | 13.5% |
| 55-64 · male | 14.4% |
| 45-54 · male | 8.1% |
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 18-24 · female | 0.6% |
