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.
Someone McConnell forgot
He needed help. McConnell did nothing.
Ad copy
Pam’s father was a World War II veteran who needed in-home care. She asked for her senator’s help. Mitch McConnel did nothing.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.0/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 70.7 · 0.0 · 77.4 |
| Spend range | USD 100–199 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 2.72 |
| Est. audience size | — |
| Days live | 1 (2020-03-23 → 2020-03-24) |
| Created | 2020-03-23 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KY — Amy Mcgrath |
| Surfaced by | “senate:Amy Mcgrath” |
🧠 AI analysis
| Issue | veterans |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | unknown |
| Who pictured | veterans military |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content-removed notice replacing the actual ad creative |
| Tactic | The ad uses a personal story of a WWII veteran's unmet need to humanize the attack on McConnell as neglectful and indifferent, but the content was removed for disclaimer non-compliance, making the persuasion tactic visible only through the copy. |
Where it ran (delivery by region)
| Kentucky | 100.0% |
Who saw it (delivery)
| 45-54 · male | 3.5% |
| 65+ · male | 0.5% |
| 55-64 · unknown | 0.0% |
| 18-24 · unknown | 0.0% |
| 45-54 · unknown | 0.0% |
| 25-34 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 55-64 · male | 1.5% |
| 55-64 · female | 3.1% |
| 35-44 · female | 13.1% |
| 25-34 · male | 14.5% |
| 65+ · female | 1.2% |
| 18-24 · male | 7.5% |
| 35-44 · male | 7.3% |
| 45-54 · female | 6.6% |
| 25-34 · female | 24.5% |
| 18-24 · female | 16.4% |
| 65+ · unknown | 0.0% |
