COSTELLO FOR U.S. SENATE
Digital creator
Myself, and beagle Stella, think that I'm the best (most electable) Democrat to take on Senator Collins in 2026. We believe this because I possess the most genuine working-class Maine roots; benefit from the broadest public service experience; have yet to garner “establishment” support; stand committed to advancing the boldest and most substantive policy reform ideas; have authored no-disqualifying social media; and I'm not yet fully eligible for Social Security... For more detailed information, check out costelloforsenate.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 32.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 51.9 · 1.7 · 63.5 |
| Spend range | USD 100–199 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 17.59 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 7 (2026-05-28 → 2026-06-04) |
| Created | 2026-05-28 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — David Costello |
| Surfaced by | “senate:David Costello” |
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | diy amateur |
| Who pictured | candidate, family children |
| Symbols | family |
| Call to action | learn more |
| Standout element | candidate relaxing at home with beagle and partner in front of a book-filled wall, projecting unpretentious intellectual warmth |
| Tactic | The ad uses self-deprecating humor and a candid home photo to build authenticity and electability contrast against establishment Democrats, positioning Costello as a genuine working-class outsider. |
| Maine | 100.0% |
| 18-24 · female | 2.0% |
| 45-54 · male | 4.0% |
| 65+ · male | 17.1% |
| 65+ · female | 27.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.1% |
| 55-64 · female | 5.1% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.8% |
| 18-24 · male | 4.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 9.4% |
| 35-44 · female | 5.0% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 10.9% |
| 25-34 · female | 6.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.3% |