David Costello US Inactive
COSTELLO FOR U.S. SENATE
David Costello
Digital creator
Ad copy
To challenge and defeat Senator Susan Collins, I believe one's lived and work experience matters!!! Mine: working class upbringing; solid education; 25+years hands-on senior-level government experience, both in the US and abroad, and a very substantive policy and governing practice reform agenda...
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.9/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 55.8 · 1.4 · 66.3 |
| Spend range | USD 100–199 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 11.96 |
| Est. audience size | — |
| Days live | 6 (2026-05-28 → 2026-06-03) |
| Created | 2026-05-28 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — David Costello |
| Surfaced by | “senate:David Costello” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, veterans military, workers labor |
| Symbols | farm rural, family, military |
| Call to action | none |
| Standout element | candidate standing in front of a modest rural home mirroring his working-class origin story |
| Tactic | Classic bootstraps biography tactic — candidate uses personal hardship narrative and veteran father reference to build emotional relatability and justify his policy platform against an incumbent. |
Where it ran (delivery by region)
| California | 13.8% |
| New York | 10.8% |
| Florida | 7.1% |
| Texas | 6.8% |
| New Jersey | 4.6% |
| Pennsylvania | 4.4% |
| Illinois | 3.5% |
Who saw it (delivery)
| 18-24 · female | 10.3% |
| 45-54 · male | 4.2% |
| 65+ · unknown | 0.0% |
| 65+ · male | 4.7% |
| 65+ · female | 4.8% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 2.6% |
| 55-64 · female | 1.6% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 2.2% |
| 18-24 · male | 13.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 12.5% |
| 35-44 · female | 5.1% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 23.3% |
| 25-34 · female | 14.7% |
| 18-24 · unknown | 0.2% |
| Unknown · male | 0.0% |
