John Deaton for US Senate US Inactive
JOHN DEATON FOR SENATE INC.
Ad copy
$100 million of your tax dollars for the legal defense of illegal migrants fighting deportation. That’s f******* insane. While your electricity bills go up, childcare skyrockets, they refuse to lower income taxes, and you keep paying more at the pump. How is this good for Massachusetts? How is this good for America? It’s not. They’re mocking us.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.6/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 66.9 · 1.1 · 74.5 |
| Spend range | USD 100–199 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 3.99 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 5 (2026-03-11 → 2026-03-16) |
| Created | 2026-03-11 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — John Deaton |
| Surfaced by | “senate:John Deaton” |
🧠 AI analysis
| Issue | immigration |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | us flag, money cash |
| Call to action | none |
| Standout element | candidate's intense direct-to-camera stare wearing his own branded campaign sweater with US flag |
| Tactic | Raw, unpolished selfie-style video delivery amplifies authenticity and manufactured populist rage, using profanity-implied censorship and rhetorical questions to make voters feel personally mocked and financially victimized by elite political opponents. |
Where it ran (delivery by region)
| Massachusetts | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 16.3% |
| 65+ · male | 24.6% |
| 65+ · female | 7.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 33.5% |
| 55-64 · female | 4.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 1.3% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 8.1% |
| 35-44 · female | 0.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 2.4% |
| 25-34 · female | 0.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
