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.
Amy McGrath can defeat Mitch.
Chip in to build the team that can get it done.
Ad copy
Team Mitch is worried, and they should be. We’re just one point behind in polls, and we’re closing the fundraising gap every day. Chip in and let’s build the team that will win. Let’s go!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 60.4/100 |
| Spend / Reach / Long. / Eff. | 55.2 · 97.1 · 22.6 · 66.7 |
| Spend range | USD 8,000–8,999 |
| Impressions | 700,000 – 799,999 |
| CPM (≈ $/1k impr) | USD 11.33 |
| Est. audience size | — |
| Days live | 83 (2020-01-28 → 2020-04-20) |
| Created | 2020-01-28 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KY — Amy Mcgrath |
| Surfaced by | “senate:Amy Mcgrath” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content-removed placeholder screen displayed as the ad image itself |
| Tactic | The ad leverages urgency and competitive momentum framing ('one point behind,' closing fundraising gap) to drive small-dollar donations, using a horse-race narrative to motivate fence-sitters. |
Where it ran (delivery by region)
| California | 20.3% |
| New York | 8.9% |
| Massachusetts | 4.9% |
| Washington | 4.3% |
| Illinois | 4.2% |
| Pennsylvania | 3.6% |
| Texas | 3.4% |
Who saw it (delivery)
| 55-64 · unknown | 0.3% |
| 55-64 · male | 6.8% |
| 25-34 · unknown | 0.4% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
| 18-24 · male | 0.6% |
| 25-34 · male | 4.1% |
| 65+ · male | 6.3% |
| 18-24 · female | 0.8% |
| 35-44 · unknown | 0.5% |
| 25-34 · female | 6.7% |
| 35-44 · female | 13.7% |
| 45-54 · male | 6.8% |
| 55-64 · female | 15.5% |
| 65+ · female | 15.9% |
| 35-44 · male | 6.5% |
| 45-54 · female | 14.2% |
| 45-54 · unknown | 0.3% |
