Amy McGrath US Inactive
AMY MCGRATH FOR SENATE, INC.
Let’s Beat Mitch McConnell
Join the team today.
Ad copy
It took Mitch McConnell just 37 minutes to attack Amy McGrath after she launched her campaign—and the attacks will only get nastier. But with this grassroots team behind her, Amy doesn’t plan on backing down any time soon. Join the team.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 58.7/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 90.1 · 30.3 · 66.7 |
| Spend range | USD 4,000–4,499 |
| Impressions | 350,000 – 399,999 |
| CPM (≈ $/1k impr) | USD 11.33 |
| Est. audience size | — |
| Days live | 111 (2019-12-04 → 2020-03-24) |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content-removed notice revealing a censored political ad about McConnell |
| Tactic | The ad leverages urgency and an attack narrative against McConnell — framing his quick response as proof of Amy's threat to him — to drive grassroots fundraising and team sign-ups, though the ad itself is inaccessible due to a platform disclaimer violation. |
Where it ran (delivery by region)
| California | 9.0% |
| Florida | 7.3% |
| New York | 6.0% |
| Kentucky | 5.6% |
| Texas | 5.5% |
| Ohio | 4.8% |
| Pennsylvania | 4.2% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 25-34 · female | 1.3% |
| 55-64 · unknown | 0.2% |
| 18-24 · male | 0.7% |
| 45-54 · unknown | 0.1% |
| 35-44 · female | 2.8% |
| 25-34 · male | 1.9% |
| 35-44 · male | 3.7% |
| 55-64 · female | 17.3% |
| 18-24 · unknown | 0.0% |
| 45-54 · male | 9.3% |
| 65+ · male | 15.9% |
| 55-64 · male | 15.8% |
| 45-54 · female | 7.3% |
| 65+ · female | 22.9% |
| 65+ · unknown | 0.3% |
| 35-44 · unknown | 0.1% |
| 18-24 · female | 0.4% |
