David Costello for U.S. Senate US Inactive
COSTELLO FOR SENATE
Home | Costello for Senate
David Costello is a government reform advocate running for the U.S. Senate in Maine. He is a Democrat who wants to help in advancing long overdue legislative and constitutional reforms to strengthen our democracy, government, and economy.
Ad copy
Why Costello over King? Costello: Working class Maine upbringing; broader, deeper government experience; and greater willingness to forcefully tackle our nation's most pressing problems like climate change, gun violence, economic inequality, and retirement insecurity
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 23.4/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 0.6 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | — |
| Days live | 3 (2024-08-20 → 2024-08-23) |
| Created | 2024-08-20 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | ME — David Costello |
| Surfaced by | “senate:David Costello” |
🧠 AI analysis
| Issue | other |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Direct 'Why Costello over King?' framing turning the ad into an explicit head-to-head comparison pitch |
| Tactic | The ad uses a contrast-comparison tactic by directly naming the incumbent opponent and listing Costello's biographical and experiential advantages, leveraging working-class identity and progressive issue stacking to differentiate from King. |
Where it ran (delivery by region)
| California | 18.0% |
| New York | 17.0% |
| Texas | 12.4% |
| Florida | 11.0% |
| Georgia | 7.2% |
| New Jersey | 6.3% |
| Illinois | 6.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 18-24 · unknown | 0.4% |
| 45-54 · male | 1.1% |
| 35-44 · female | 15.5% |
| 18-24 · female | 8.5% |
| 25-34 · female | 39.4% |
| 35-44 · male | 6.5% |
| 65+ · female | 2.3% |
| 25-34 · male | 16.3% |
| 55-64 · male | 1.0% |
| 65+ · male | 1.9% |
| 55-64 · female | 1.4% |
| 45-54 · female | 1.8% |
| 18-24 · male | 3.4% |
| 25-34 · unknown | 0.5% |
| 45-54 · unknown | 0.1% |
