Ed Markey US Inactive
THE MARKEY COMMITTEE
Rush a Contribution
Please contribute to our grassroots campaign today
Ad copy
We have the momentum, but Joe Kennedy’s big money backers are not going down without a fight. They just launched a new super PAC spending huge sums of money to try and stop our grassroots movement. But we aren't going to let them buy this seat. Can you rush a donation to fight back and win?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.9/100 |
| Spend / Reach / Long. / Eff. | 30.5 · 65.4 · 3.3 · 60.5 |
| Spend range | USD 800–899 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 26.14 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 13 (2020-08-10 → 2020-08-23) |
| Created | 2020-08-10 |
| 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 | money cash |
| Call to action | donate |
| Standout element | candidate speaking directly to camera outdoors with subtitle mid-sentence creating momentum |
| Tactic | Classic grassroots-vs-big-money framing that uses urgency and underdog narrative to drive small-dollar donations, pitting 'the people' against a super PAC to motivate immediate action. |
Where it ran (delivery by region)
| Massachusetts | 49.9% |
| California | 9.2% |
| New York | 6.0% |
| Washington | 2.0% |
| Illinois | 1.8% |
| Pennsylvania | 1.8% |
| Michigan | 1.7% |
Who saw it (delivery)
| 35-44 · unknown | 0.3% |
| 55-64 · male | 6.9% |
| 18-24 · female | 1.8% |
| 45-54 · female | 7.6% |
| 45-54 · male | 4.7% |
| 18-24 · male | 1.7% |
| 35-44 · male | 4.9% |
| 25-34 · female | 4.6% |
| 65+ · female | 26.9% |
| 65+ · unknown | 0.7% |
| 35-44 · female | 5.9% |
| 25-34 · male | 4.5% |
| 55-64 · female | 14.8% |
| 65+ · male | 13.6% |
| 25-34 · unknown | 0.3% |
| 45-54 · unknown | 0.2% |
| 55-64 · unknown | 0.4% |
| 18-24 · unknown | 0.1% |
