Ed Markey US Inactive
THE MARKEY COMMITTEE
Chip in before our FEC deadline >>
Rush a contribution now.
Ad copy
We’re falling a bit behind where we need to be before this FEC deadline ends. And that’s not great because Joe Kennedy is outraising us, and he just launched a $2.4 million television ad campaign. The only way we stand a chance if we continue to build a grassroots army unlike any Massachusetts has seen before. Can we count on you to rush a donation to our campaign?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.3/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 69.3 · 0.0 · 68.1 |
| Spend range | USD 400–499 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 9.46 |
| Est. audience size | — |
| Days live | 1 (2020-06-29 → 2020-06-30) |
| Created | 2020-06-29 |
| 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 against lush green foliage with urgent FEC deadline text overlaid |
| Tactic | Classic urgency-scarcity fundraising tactic leveraging a real FEC deadline and the threat of being outspent by a named opponent to trigger immediate small-dollar donations. |
Where it ran (delivery by region)
| California | 19.0% |
| New York | 13.7% |
| Illinois | 4.7% |
| Washington | 4.7% |
| Pennsylvania | 4.0% |
| Texas | 3.4% |
| Maryland | 3.1% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 65+ · male | 4.0% |
| 55-64 · female | 1.7% |
| 55-64 · unknown | 0.1% |
| 18-24 · female | 4.1% |
| 65+ · female | 2.2% |
| 18-24 · unknown | 0.5% |
| 35-44 · female | 4.4% |
| 25-34 · unknown | 1.3% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 15.0% |
| 25-34 · male | 31.4% |
| 18-24 · male | 14.3% |
| 45-54 · male | 4.5% |
| 55-64 · male | 3.6% |
| 45-54 · female | 1.9% |
| 25-34 · female | 10.3% |
| 65+ · unknown | 0.1% |
