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.
Can I count on you?
It’ll take all of us to defeat McConnell.
Ad copy
Mitch McConnell is the worst of what’s wrong with Washington. I’m running against him, and I plan to win. Chip in and help us defeat Mitch McConnell.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 62.0/100 |
| Spend / Reach / Long. / Eff. | 56.4 · 95.7 · 31.1 · 64.8 |
| Spend range | USD 9,000–9,999 |
| Impressions | 600,000 – 699,999 |
| CPM (≈ $/1k impr) | USD 14.61 |
| Est. audience size | — |
| Days live | 114 (2019-12-04 → 2020-03-27) |
| 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 replacing the actual ad creative |
| Tactic | The ad copy uses direct anti-McConnell framing to drive urgency and fundraising, but the creative itself is inaccessible due to a policy disclaimer violation, making the visual impact moot. |
Where it ran (delivery by region)
| California | 15.1% |
| New York | 7.4% |
| Florida | 4.9% |
| Texas | 4.8% |
| Washington | 4.7% |
| Illinois | 4.4% |
| Pennsylvania | 3.9% |
Who saw it (delivery)
| 35-44 · female | 9.3% |
| 25-34 · female | 7.0% |
| 55-64 · unknown | 0.3% |
| 18-24 · female | 1.6% |
| 18-24 · male | 1.6% |
| 35-44 · unknown | 0.3% |
| 18-24 · unknown | 0.1% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 8.9% |
| 55-64 · female | 11.4% |
| 55-64 · male | 9.6% |
| 25-34 · unknown | 0.4% |
| 65+ · male | 9.5% |
| 65+ · female | 12.7% |
| 35-44 · male | 9.8% |
| 25-34 · male | 7.9% |
| 45-54 · male | 9.1% |
| 65+ · unknown | 0.3% |
