THE MARKEY COMMITTEE
Chip in
Chip in
Chip in
Chip in to Ed Markey’s campaign before the FEC fundraising deadline on June 30th. Ed is counting on grassroots support to report the strongest numbers possible and show the corporate special interests groups that his movement for working class Americans is stronger than ever.
Chip in to Ed Markey’s campaign before the FEC fundraising deadline on June 30th. Ed is counting on grassroots support to report the strongest numbers possible and show the corporate special interests groups that his movement for working class Americans is stronger than ever.
Chip in to Ed Markey’s campaign before the FEC fundraising deadline on June 30th. Ed is counting on grassroots support to report the strongest numbers possible and show the corporate special interests groups that his movement for working class Americans is stronger than ever.
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| Overall score | 44.9/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 75.1 · 1.7 · 57.7 |
| Spend range | USD 3,000–3,499 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 38.23 |
| Est. audience size | — |
| Days live | 7 (2025-06-24 → 2025-07-01) |
| Created | 2025-06-24 |
| Creative variants | 3 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — Ed Markey |
| Surfaced by | “senate:Ed Markey” |
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | bold yellow-on-black subtitle banner reading 'NOT THE BILLIONAIRE CLASS' dominating the lower frame |
| Tactic | Uses a deadline-urgency fundraising appeal combined with populist class-contrast framing to motivate small-dollar donors by positioning grassroots giving as a direct rebuke of billionaire and corporate power. |
| Massachusetts | 31.4% |
| California | 11.0% |
| New York | 7.1% |
| Florida | 3.6% |
| Washington | 3.0% |
| Pennsylvania | 2.9% |
| Texas | 2.6% |
| 18-24 · female | 1.2% |
| 45-54 · male | 2.4% |
| 65+ · male | 25.5% |
| 65+ · female | 39.5% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 7.1% |
| 55-64 · female | 10.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.0% |
| 18-24 · male | 1.9% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.7% |
| 35-44 · female | 1.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.1% |
| 25-34 · female | 1.8% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 1.0% |