John Deaton for US Senate US Inactive
JOHN DEATON FOR SENATE INC.
www.fb.com
Ad copy
The Clean Hands Act. For too long, Washington has rewarded insiders, career politicians, and special interests while everyday Americans are left footing the bill. That ends now. My 17-point Clean Hands Act takes direct aim at corruption by banning congressional stock trading, closing the revolving door between government and lobbyists, pushing for term limits, strengthening transparency, and ensuring public service is exactly that… service to the people, not personal profit. It’s time to restore trust, demand accountability, and put power back where it belongs… with us. Article in comments.
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Performance proxies
| Overall score | 40.1/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 68.1 · 1.4 · 67.3 |
| Spend range | USD 400–499 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 10.58 |
| Est. audience size | — |
| Days live | 6 (2026-04-30 → 2026-05-06) |
| Created | 2026-04-30 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | — |
| Candidate | MA — John Deaton |
| Surfaced by | “senate:John Deaton” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | money cash |
| Call to action | learn more |
| Standout element | Side-by-side contrast of Deaton smiling confidently vs. Markey caught open-mouthed in an unflattering expression |
| Tactic | Uses borrowed credibility from a news headline to legitimize the attack, while the photo contrast viscerally frames the race as fresh outsider vs. tired career politician. |
Where it ran (delivery by region)
| Massachusetts | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 10.7% |
| 65+ · male | 28.2% |
| 65+ · female | 14.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 21.2% |
| 55-64 · female | 8.4% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.4% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.2% |
| 35-44 · female | 1.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 3.6% |
| 25-34 · female | 0.4% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.4% |
