Ed Markey US Inactive
THE MARKEY COMMITTEE
Rush a Contribution
Please contribute to our grassroots campaign today
Ad copy
Can you do something big for Ed? We are just DAYS away from our election and recent polls show us in dead heat. Our only chance at taking the lead is through a last minute surge in grassroots donations. So can you rush a contribution right now to push us over the finish line? It would mean a lot to Ed and to our campaign.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.6/100 |
| Spend / Reach / Long. / Eff. | 30.5 · 72.4 · 1.9 · 65.7 |
| Spend range | USD 800–899 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 13.07 |
| Est. audience size | — |
| Days live | 8 (2020-08-23 → 2020-08-31) |
| Created | 2020-08-23 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — Ed Markey |
| Surfaced by | “senate:Ed Markey” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | urgent deadline framing with 'DAYS away' and dead-heat poll reference driving scarcity pressure |
| Tactic | Classic last-minute fundraising urgency tactic using a close-race narrative and grassroots identity appeal to trigger immediate small-dollar donations via ActBlue. |
Where it ran (delivery by region)
| New York | 23.3% |
| California | 14.6% |
| Illinois | 4.7% |
| Pennsylvania | 4.4% |
| Michigan | 4.1% |
| Texas | 3.5% |
| Connecticut | 3.4% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 65+ · male | 5.9% |
| 35-44 · unknown | 0.5% |
| 45-54 · unknown | 0.2% |
| 65+ · female | 3.7% |
| 55-64 · male | 5.6% |
| 45-54 · male | 6.5% |
| 18-24 · female | 4.2% |
| 45-54 · female | 3.2% |
| 18-24 · unknown | 0.4% |
| 25-34 · male | 27.0% |
| 25-34 · female | 10.4% |
| 35-44 · male | 11.8% |
| 18-24 · male | 10.6% |
| 55-64 · female | 3.8% |
| 35-44 · female | 4.8% |
| 25-34 · unknown | 1.1% |
| 65+ · unknown | 0.2% |
