THE MARKEY COMMITTEE
Chip in
Chip in
Ed Markey is at the forefront fighting for clean energy, affordable healthcare, civil liberties, and an economy that works for us ALL, not just the 1%. As one of the most outspoken critics of the MAGA right, he needs all the grassroots support he can get to keep up the fight. So if you’re with Ed, please consider chipping in whatever you can manage, even if it’s just $5, to support his campaign.
Ed Markey is at the forefront fighting for clean energy, affordable healthcare, civil liberties, and an economy that works for us ALL, not just the 1%. As one of the most outspoken critics of the MAGA right, he needs all the grassroots support he can get to keep up the fight. So if you’re with Ed, please consider chipping in whatever you can manage, even if it’s just $5, to support his campaign.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 47.5/100 |
| Spend / Reach / Long. / Eff. | 52.4 · 80.0 · 1.7 · 56.1 |
| Spend range | USD 6,000–6,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 47.27 |
| Est. audience size | — |
| Days live | 7 (2025-07-18 → 2025-07-25) |
| Created | 2025-07-18 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — Ed Markey |
| Surfaced by | “senate:Ed Markey” |
| Issue | energy environment |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold blue lower-third banner contrasting 'the people' against 'the billionaire class' |
| Tactic | Grassroots urgency framing pairs a low-fi selfie-style video with populist anti-billionaire rhetoric to motivate small-dollar donations from progressive base supporters. |
| Massachusetts | 29.3% |
| California | 12.8% |
| New York | 8.6% |
| Pennsylvania | 3.2% |
| Florida | 3.2% |
| Texas | 2.6% |
| Maine | 2.6% |
| 18-24 · female | 1.5% |
| 45-54 · male | 3.3% |
| 65+ · male | 17.7% |
| 65+ · female | 35.6% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.5% |
| 55-64 · female | 13.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.3% |
| 18-24 · male | 2.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.6% |
| 35-44 · female | 3.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.0% |
| 25-34 · female | 3.3% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.7% |