John Deaton for US Senate US Inactive
JOHN DEATON FOR SENATE INC.
Ad copy
Let’s scrub the grime from Washington. I am proposing a “Clean Hands Act” to bring term limits to Congress, ban stock trading while in office, impose a lifetime lobbying ban after leaving public service, and end Leadership PAC slush funds once and for all. Washington was never meant to be a career, and public service was never meant to be a path to getting rich.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.0/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 66.9 · 0.8 · 70.7 |
| Spend range | USD 200–299 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 6.65 |
| Est. audience size | — |
| Days live | 4 (2026-05-27 → 2026-05-31) |
| Created | 2026-05-27 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — John Deaton |
| Surfaced by | “senate:John Deaton” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | extreme close-up of mud-caked hands being washed under running water, viscerally embodying the 'scrub the grime from Washington' metaphor |
| Tactic | The ad uses a powerful sensory metaphor — literally dirty hands being cleaned — to make anti-corruption reform feel tangible and urgent, positioning Deaton as the reformer who will clean up a morally filthy Congress. |
Where it ran (delivery by region)
| Massachusetts | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 12.0% |
| 65+ · male | 15.1% |
| 65+ · female | 15.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 14.7% |
| 55-64 · female | 11.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.5% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 9.2% |
| 35-44 · female | 4.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 7.7% |
| 25-34 · female | 2.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
