John Deaton for US Senate US Inactive
JOHN DEATON FOR SENATE INC.
Ad copy
For 30 years, I didn't sit in a government office. I sat across kitchen tables from working families. As a lawyer, I fought for electricians, mechanics, shipyard workers, insulators, and others who developed mesothelioma and lung cancer after years of honest work. I took on billion-dollar insurance companies and corporations on behalf of people who deserved a voice. That's the difference between a practicing lawyer and a career politician. I've spent my career fighting for working families in court. Now I'm ready to fight for them in the United States Senate.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.9/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 73.9 · 1.9 · 70.0 |
| Spend range | USD 500–599 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 7.33 |
| Est. audience size | — |
| Days live | 8 (2026-05-29 → 2026-06-06) |
| Created | 2026-05-29 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — John Deaton |
| Surfaced by | “senate:John Deaton” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, workers labor |
| Symbols | us flag, family |
| Call to action | learn more |
| Standout element | extreme close-up of Deaton's intense, weathered face behind a podcast microphone with bold red 'families' overlay badge |
| Tactic | The ad uses a blue-collar authenticity play — positioning Deaton's courtroom record fighting corporations as proof he's a fighter for working people, directly contrasting him with career politicians via personal testimony and intimate podcast-style framing. |
Where it ran (delivery by region)
| Massachusetts | 100.0% |
Who saw it (delivery)
| 25-34 · female | 2.7% |
| 25-34 · male | 26.4% |
| 25-34 · unknown | 0.3% |
| 35-44 · female | 2.1% |
| 35-44 · male | 14.4% |
| 35-44 · unknown | 0.2% |
| 45-54 · female | 2.2% |
| 45-54 · male | 11.4% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 4.2% |
| 55-64 · male | 14.1% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 7.1% |
| 65+ · male | 14.5% |
| 65+ · unknown | 0.2% |
