John Deaton for US Senate US Inactive
JOHN DEATON FOR SENATE INC.
Ad copy
This is what hypocrisy looks like. A “No Kings” rally led by someone who’s been in power longer than most kings in history. This is what hypocrisy looks like. The average person in Massachusetts is 40, yet Ed Markey has been in office even longer. This is what hypocrisy looks like. 72% of voters demand an audit and are ignored. This is what hypocrisy looks like. That’s not democracy, that’s a system protecting itself. Stand with me this November and let’s put power back where it belongs.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.8/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 49.2 · 0.8 · 61.4 |
| Spend range | USD 100–199 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 23.0 |
| Est. audience size | — |
| Days live | 4 (2026-04-02 → 2026-04-06) |
| Created | 2026-04-02 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | MA — John Deaton |
| Surfaced by | “senate:John Deaton” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | us flag, capitol statue |
| Call to action | vote |
| Standout element | AI-generated image of Ed Markey dressed as a king on a royal throne with crown and ermine robe |
| Tactic | The ad deploys visual irony by literally crowning the opponent as a monarch to mock his 'No Kings' messaging, fusing humor and outrage to delegitimize a long-tenured incumbent. |
Where it ran (delivery by region)
| Massachusetts | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 45-54 · male | 11.2% |
| 65+ · male | 17.0% |
| 65+ · female | 15.7% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 18.5% |
| 55-64 · female | 13.0% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 5.7% |
| 18-24 · male | 1.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.6% |
| 35-44 · female | 2.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 5.7% |
| 25-34 · female | 0.9% |
| 65+ · unknown | 0.3% |
