Ed Markey US Inactive
THE MARKEY COMMITTEE
Rush a Contribution
Please contribute to our grassroots campaign today
Ad copy
Will you rush a donation to our grassroots campaign? The Boston Globe has reported a new super PAC is swooping in to prop up Joe Kennedy and drown out our messaging. And the only way we can fight back is with lots and lots of small donations from people like you.
↗ 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | candidate speaking directly to camera outdoors with mid-sentence subtitle creating cliffhanger urgency |
| Tactic | Classic grassroots fundraising threat-and-response tactic: name the outside-money villain (super PAC backing Kennedy), cite credible press (Boston Globe), then position small donations as the only counter-weapon, driving urgency to act immediately. |
Where it ran (delivery by region)
| California | 20.5% |
| New York | 13.7% |
| Washington | 5.1% |
| Illinois | 4.8% |
| Pennsylvania | 4.5% |
| Texas | 3.6% |
| Washington, District of Columbia | 2.9% |
Who saw it (delivery)
| 35-44 · female | 5.5% |
| 18-24 · male | 13.1% |
| 65+ · unknown | 0.2% |
| 35-44 · unknown | 0.5% |
| 45-54 · unknown | 0.2% |
| 18-24 · unknown | 0.5% |
| 25-34 · unknown | 1.3% |
| 45-54 · male | 4.7% |
| 65+ · female | 3.1% |
| 45-54 · female | 2.7% |
| 25-34 · female | 12.4% |
| 55-64 · male | 4.3% |
| 55-64 · female | 2.5% |
| 25-34 · male | 27.1% |
| 35-44 · male | 11.3% |
| 65+ · male | 4.8% |
| 18-24 · female | 5.6% |
| 55-64 · unknown | 0.1% |
