Ed Markey US Inactive
THE MARKEY COMMITTEE
Rush a Contribution
Please contribute to our grassroots campaign today
Ad copy
A pro-Kennedy super PAC just dropped $2.4 MILLION on television ads, and the truth is, time is running out for us to close this spending gap. Will you rush a contribution to help us compete with the big money flooding into this race?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.7/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 66.9 · 3.3 · 60.7 |
| Spend range | USD 900–999 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 25.32 |
| Est. audience size | 10,001 – 50,000 |
| 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 | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | candidate speaking directly to camera outdoors with urgency-driven subtitle mid-sentence |
| Tactic | Creates urgency by citing a specific dollar figure ($2.4M) from opponent's super PAC to trigger fear of losing and motivate immediate small-dollar donations to close the spending gap. |
Where it ran (delivery by region)
| Massachusetts | 42.7% |
| New York | 10.5% |
| California | 10.0% |
| Illinois | 2.9% |
| Washington, District of Columbia | 2.9% |
| Texas | 2.3% |
| Washington | 2.2% |
Who saw it (delivery)
| 55-64 · unknown | 0.2% |
| 35-44 · male | 7.5% |
| 35-44 · female | 5.8% |
| 45-54 · male | 3.2% |
| 65+ · unknown | 0.4% |
| 25-34 · unknown | 0.8% |
| 35-44 · unknown | 0.3% |
| 18-24 · unknown | 0.2% |
| 25-34 · female | 13.4% |
| 45-54 · unknown | 0.1% |
| 65+ · male | 7.5% |
| 25-34 · male | 20.0% |
| 18-24 · male | 9.3% |
| 55-64 · male | 4.1% |
| 18-24 · female | 5.9% |
| 65+ · female | 11.4% |
| 55-64 · female | 5.9% |
| 45-54 · female | 3.8% |
