Ed Markey US Inactive
THE MARKEY COMMITTEE
Keep our AOC ad on the air!
Please contribute to our grassroots campaign today
Ad copy
Right now, our brand new TV ad featuring AOC is airing across Massachusetts! Ads like these are expensive and our opponent has already spent millions trying to drown us out. It’s crucial that we have the resources to compete with his big money. If you're able to, rush a donation now to help make sure our message reaches as many voters as possible.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.3/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 69.3 · 0.8 · 70.0 |
| Spend range | USD 300–399 |
| Impressions | 45,000 – 49,999 |
| CPM (≈ $/1k impr) | USD 7.36 |
| Est. audience size | — |
| Days live | 4 (2020-07-30 → 2020-08-03) |
| Created | 2020-07-30 |
| 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 | AOC as surrogate and celebrity validator in video freeze-frame with subtitle text |
| Tactic | Leverages AOC's star power and grassroots credibility to create urgency around being outspent, driving small-dollar donations through fear of being drowned out by big money. |
Where it ran (delivery by region)
| New York | 17.4% |
| Washington | 7.3% |
| Pennsylvania | 5.4% |
| Illinois | 5.2% |
| Texas | 4.4% |
| Washington, District of Columbia | 4.1% |
| Virginia | 3.9% |
Who saw it (delivery)
| 45-54 · unknown | 0.2% |
| 35-44 · male | 14.8% |
| 35-44 · unknown | 0.7% |
| 55-64 · female | 2.4% |
| 45-54 · female | 2.2% |
| 18-24 · male | 9.8% |
| 25-34 · unknown | 1.1% |
| 25-34 · male | 26.4% |
| 55-64 · male | 7.5% |
| 55-64 · unknown | 0.2% |
| 25-34 · female | 8.2% |
| 18-24 · female | 3.5% |
| 65+ · female | 2.4% |
| 45-54 · male | 8.1% |
| 35-44 · female | 4.0% |
| 65+ · unknown | 0.3% |
| 18-24 · unknown | 0.3% |
| 65+ · male | 7.8% |
