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.
Mitch walked away
Coal miners deserve more
Ad copy
Watch the story of a group of Kentucky coal miners with black lung disease who drove 10 hours for a meeting with Mitch—and find out what he did.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 55.1/100 |
| Spend / Reach / Long. / Eff. | 59.4 · 94.0 · 5.5 · 61.5 |
| Spend range | USD 10,000–14,999 |
| Impressions | 500,000 – 599,999 |
| CPM (≈ $/1k impr) | USD 22.73 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 21 (2020-08-24 → 2020-09-14) |
| Created | 2020-08-24 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KY — Amy Mcgrath |
| Surfaced by | “senate:Amy Mcgrath” |
🧠 AI analysis
| Issue | healthcare |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content removal notice obscuring the actual ad creative |
| Tactic | The ad leverages a visceral human story — sick coal miners driving 10 hours only to be abandoned by McConnell — to generate anger and empathy against the incumbent, using narrative storytelling as its core persuasion tactic. |
Where it ran (delivery by region)
| Kentucky | 99.9% |
| Tennessee | 0.1% |
Who saw it (delivery)
| 65+ · unknown | 0.0% |
| 25-34 · male | 11.8% |
| 35-44 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
| 65+ · female | 7.3% |
| 65+ · male | 2.9% |
| 18-24 · male | 6.0% |
| 55-64 · male | 5.2% |
| 35-44 · female | 10.1% |
| 55-64 · unknown | 0.0% |
| 55-64 · female | 9.5% |
| 25-34 · female | 13.4% |
| 18-24 · female | 8.1% |
| 45-54 · male | 6.9% |
| 35-44 · male | 8.4% |
| 45-54 · female | 10.1% |
| 45-54 · unknown | 0.0% |
| 18-24 · unknown | 0.0% |
