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
Three things you should know: ✅I’m running against Mitch McConnell. ✅I plan to beat him. ✅I can’t do it alone. Chip in today and let’s take the fight to Mitch McConnell.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.2/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 87.0 · 31.1 · 67.7 |
| Spend range | USD 2,500–2,999 |
| Impressions | 250,000 – 299,999 |
| CPM (≈ $/1k impr) | USD 10.0 |
| 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 | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Platform removal notice replacing the actual ad content, exposing a compliance issue |
| Tactic | The ad copy uses a punchy three-bullet checklist framing to build urgency and a personal call-to-action against a named opponent, but the ad itself was removed by Facebook for disclaimer non-compliance, undermining its reach. |
Where it ran (delivery by region)
| California | 14.7% |
| New York | 7.6% |
| Florida | 5.3% |
| Texas | 4.4% |
| Pennsylvania | 4.1% |
| Illinois | 4.1% |
| Washington | 3.8% |
Who saw it (delivery)
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
| 35-44 · male | 6.3% |
| 35-44 · female | 6.1% |
| 25-34 · male | 4.6% |
| 18-24 · female | 1.8% |
| 55-64 · unknown | 0.3% |
| 45-54 · male | 8.4% |
| 55-64 · male | 11.4% |
| 18-24 · male | 1.6% |
| 45-54 · female | 8.8% |
| 65+ · male | 12.1% |
| 65+ · female | 18.6% |
| 55-64 · female | 14.7% |
| 25-34 · unknown | 0.3% |
| 35-44 · unknown | 0.2% |
| 45-54 · unknown | 0.2% |
| 25-34 · female | 4.0% |
