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.
We Can Take Them On
Donate Now
Ad copy
Mitch McConnell has an army of dirty special interests ready to spend big to preserve his Senate majority. We have this grassroots team. Chip in to help build our campaign.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 64.7/100 |
| Spend / Reach / Long. / Eff. | 56.4 · 100.0 · 34.4 · 68.1 |
| Spend range | USD 9,000–9,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 9.5 |
| Est. audience size | — |
| Days live | 126 (2020-06-30 → 2020-11-03) |
| Created | 2020-06-30 |
| 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 | attack opponent |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook content removal notice replacing the actual ad, revealing policy enforcement in real time |
| Tactic | The ad leverages grassroots vs. special-interest framing to create urgency and drive small-dollar donations against an entrenched incumbent, though the content was removed for disclaimer noncompliance. |
Where it ran (delivery by region)
| California | 13.4% |
| New York | 6.7% |
| Florida | 6.6% |
| Texas | 6.1% |
| Pennsylvania | 4.1% |
| Illinois | 3.8% |
| Washington | 3.7% |
Who saw it (delivery)
| 13-17 · unknown | 0.0% |
| 25-34 · female | 2.7% |
| 35-44 · unknown | 0.2% |
| 18-24 · female | 0.5% |
| 55-64 · unknown | 0.3% |
| 35-44 · male | 4.9% |
| 18-24 · male | 0.5% |
| 25-34 · male | 2.5% |
| 35-44 · female | 5.7% |
| 45-54 · male | 8.5% |
| 25-34 · unknown | 0.1% |
| 45-54 · female | 9.3% |
| 55-64 · male | 12.2% |
| 55-64 · female | 16.3% |
| 65+ · female | 21.9% |
| 65+ · male | 13.7% |
| 45-54 · unknown | 0.2% |
| 65+ · unknown | 0.4% |
| 18-24 · unknown | 0.0% |
