THE MARKEY COMMITTEE
The latest UMass Lowell poll shows us closing in on Joe Kennedy.
The latest UMass Lowell poll of our race shows us down by 2 points. Person by person, we are closing the gap. But Kennedy has launched a $2.4 million ad campaign against us, and the only way we stand a chance against his big money is if we continue to build a grassroots army unlike anything 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)
| Overall score | 44.8/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 76.3 · 5.5 · 71.8 |
| Spend range | USD 500–599 |
| Impressions | 90,000 – 99,999 |
| CPM (≈ $/1k impr) | USD 5.78 |
| Est. audience size | — |
| Days live | 21 (2020-07-07 → 2020-07-28) |
| Created | 2020-07-06 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — Ed Markey |
| Surfaced by | “senate:Ed Markey” |
| 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 | side-by-side bar chart showing Markey 42% vs Kennedy 44% with a bold Donate button — framing a 2-point deficit as a rallying cry |
| Tactic | Classic underdog fundraising tactic: uses a credible poll to manufacture urgency, frames big-money opponent as the villain, and positions a small donation as the equalizer in a winnable race. |
| New York | 18.3% |
| Illinois | 6.0% |
| Pennsylvania | 5.7% |
| Washington | 4.8% |
| Texas | 4.4% |
| Washington, District of Columbia | 4.0% |
| New Jersey | 3.8% |
| 55-64 · unknown | 0.1% |
| 45-54 · female | 1.1% |
| 25-34 · male | 34.0% |
| 25-34 · female | 9.4% |
| 35-44 · male | 10.5% |
| 18-24 · female | 7.0% |
| 18-24 · male | 20.5% |
| 45-54 · male | 3.4% |
| 35-44 · unknown | 0.5% |
| 55-64 · male | 2.5% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
| 65+ · female | 1.5% |
| 55-64 · female | 1.1% |
| 25-34 · unknown | 1.5% |
| 18-24 · unknown | 0.7% |
| 65+ · male | 3.2% |
| 35-44 · female | 2.7% |