Amy McGrath US Inactive
AMY MCGRATH FOR SENATE, INC.
[DONATE] Amy can win this
Ad copy
I’m a Marine fighter pilot and mom of three ready to be a new leader for Kentucky—and polls show I can beat Mitch McConnell. Help turn the page on Mitch by chipping in now.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.6/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 87.0 · 32.8 · 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 | 120 (2020-07-06 → 2020-11-03) |
| Created | 2020-07-06 |
| 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 | unknown |
| Who pictured | candidate |
| Symbols | military, none |
| Call to action | donate |
| Standout element | Removed ad notice revealing the ad was flagged for missing disclaimer, exposing the meta-structure of the platform's enforcement |
| Tactic | The copy leverages a military-mom identity combined with an electability argument ('polls show I can beat Mitch') to drive urgency-based donations against a high-profile incumbent opponent. |
Where it ran (delivery by region)
| California | 11.5% |
| New York | 6.7% |
| Florida | 6.5% |
| Texas | 4.9% |
| Washington | 4.8% |
| Pennsylvania | 3.8% |
| Massachusetts | 3.7% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 45-54 · female | 7.2% |
| 18-24 · female | 0.4% |
| 45-54 · unknown | 0.2% |
| 18-24 · male | 0.7% |
| 25-34 · female | 1.4% |
| 35-44 · female | 3.8% |
| 55-64 · unknown | 0.4% |
| 45-54 · male | 6.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.7% |
| 55-64 · male | 10.7% |
| 65+ · male | 16.0% |
| 35-44 · male | 3.2% |
| 55-64 · female | 17.8% |
| 65+ · unknown | 0.6% |
| 65+ · female | 29.5% |
| 35-44 · unknown | 0.1% |
