Ed Markey US Inactive
THE MARKEY COMMITTEE
We are SO CLOSE
The latest UMass Lowell poll shows us closing in on Joe Kennedy.
Ad copy
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)
Performance proxies
| Overall score | 45.2/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 73.9 · 5.5 · 56.7 |
| Spend range | USD 3,000–3,499 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 43.33 |
| Est. audience size | 10,001 – 50,000 |
| 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” |
🧠 AI analysis
| 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. |
Where it ran (delivery by region)
| Massachusetts | 48.6% |
| New York | 9.5% |
| California | 2.8% |
| Illinois | 2.6% |
| Washington, District of Columbia | 2.2% |
| Texas | 2.2% |
| Washington | 2.2% |
Who saw it (delivery)
| 25-34 · unknown | 0.6% |
| 18-24 · female | 4.7% |
| 55-64 · unknown | 0.2% |
| 45-54 · unknown | 0.2% |
| 65+ · unknown | 0.6% |
| 45-54 · female | 3.4% |
| 35-44 · female | 4.3% |
| 55-64 · male | 5.3% |
| 18-24 · male | 6.2% |
| 35-44 · unknown | 0.3% |
| 65+ · male | 13.8% |
| 65+ · female | 23.4% |
| 45-54 · male | 3.0% |
| 25-34 · male | 12.5% |
| 55-64 · female | 7.8% |
| 25-34 · female | 9.1% |
| 35-44 · male | 4.5% |
| 18-24 · unknown | 0.2% |
