Ed Markey US Inactive
THE MARKEY COMMITTEE
Help Ed close the gap
The latest UMass Lowell poll shows us closing in on Joe Kennedy.
Ad copy
The latest UMass Lowell poll shows this race is CLOSE, and it’s coming down to Joe Kennedy’s big money vs. our grassroots movement. Our opponent has a max-out machine, and he is using it to massively outspend us. But we’ve been out-organizing him, and if lots of people chip in what they can right now, our grassroots campaign will have the funds we need to fight back in the final stretch. Will you make a donation to help us keep up our momentum and win?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.2/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 72.4 · 5.5 · 68.9 |
| Spend range | USD 500–599 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 8.45 |
| 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” |
🧠 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 | Markey speaking directly to camera with urgent subtitle text mid-sentence, creating a cliffhanger pull to watch the video |
| Tactic | The ad leverages a credible poll stat and a classic grassroots-vs-big-money contrast frame to trigger fear of losing and spur immediate small-dollar donations. |
Where it ran (delivery by region)
| New York | 18.7% |
| Illinois | 5.7% |
| Pennsylvania | 5.6% |
| Washington | 5.4% |
| Washington, District of Columbia | 4.4% |
| Texas | 4.3% |
| New Jersey | 4.0% |
Who saw it (delivery)
| 65+ · unknown | 0.2% |
| 35-44 · male | 8.6% |
| 65+ · female | 3.3% |
| 45-54 · female | 2.2% |
| 18-24 · unknown | 0.7% |
| 45-54 · male | 3.1% |
| 65+ · male | 3.9% |
| 25-34 · female | 11.9% |
| 35-44 · female | 3.7% |
| 45-54 · unknown | 0.2% |
| 25-34 · male | 26.5% |
| 55-64 · male | 2.9% |
| 18-24 · male | 20.0% |
| 25-34 · unknown | 1.3% |
| 18-24 · female | 8.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · female | 2.5% |
| 35-44 · unknown | 0.5% |
