Ed Markey US Inactive
THE MARKEY COMMITTEE
Rush a Contribution
Please contribute to our grassroots campaign today
Ad copy
BREAKING: The Boston Globe reported that a super PAC is swooping into our race to try and prop up Joe Kennedy. They’re already spending $2.4 million on TV ads and more are certainly headed our way. It’s crucial that we have the resources to compete with his big money. If you're able to, rush a donation now to help us fight back and win.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.8/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 72.4 · 3.3 · 67.7 |
| Spend range | USD 600–699 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 9.99 |
| Est. audience size | — |
| Days live | 13 (2020-08-10 → 2020-08-23) |
| Created | 2020-08-10 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — Ed Markey |
| Surfaced by | “senate:Ed Markey” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | BREAKING news framing paired with a $2.4 million super PAC figure to manufacture urgency |
| Tactic | Classic grassroots-vs-big-money fundraising appeal that uses a credible Boston Globe news hook to justify an emergency donation ask, framing the race as a David vs. Goliath fight. |
Where it ran (delivery by region)
| California | 23.3% |
| New York | 13.3% |
| Washington | 4.5% |
| Pennsylvania | 4.3% |
| Illinois | 4.3% |
| Texas | 3.4% |
| New Jersey | 3.2% |
Who saw it (delivery)
| 18-24 · unknown | 0.4% |
| 18-24 · male | 19.8% |
| 25-34 · unknown | 0.8% |
| 65+ · unknown | 0.2% |
| 55-64 · male | 3.7% |
| 55-64 · unknown | 0.1% |
| 45-54 · male | 3.8% |
| 45-54 · unknown | 0.2% |
| 25-34 · male | 23.2% |
| 65+ · female | 5.0% |
| 35-44 · male | 8.1% |
| 45-54 · female | 3.2% |
| 25-34 · female | 10.3% |
| 35-44 · female | 4.7% |
| 18-24 · female | 7.5% |
| 65+ · male | 4.7% |
| 55-64 · female | 3.8% |
| 35-44 · unknown | 0.4% |
