John Deaton for US Senate US Inactive
JOHN DEATON FOR SENATE INC.
Ad copy
The beaches in Maryland must be incredible. Because nobody who has ever spent three hours crawling toward Cape Cod on a functionally obsolete bridge would think this system is acceptable. Massachusetts sends more tax dollars to Washington per person than any state in America. So why are we still depending on bridge infrastructure that traces its roots back over 110 years? Decades of representation. Billions sent to D.C. And we're still sitting in traffic. That's not a funding problem. That's a leadership problem.
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Performance proxies
| Overall score | 38.1/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 65.4 · 1.4 · 73.5 |
| Spend range | USD 100–199 |
| Impressions | 30,000 – 34,999 |
| CPM (≈ $/1k impr) | USD 4.6 |
| Est. audience size | — |
| Days live | 6 (2026-06-06 → 2026-06-12) |
| Created | 2026-06-06 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — John Deaton |
| Surfaced by | “senate:John Deaton” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | learn more |
| Standout element | Candidate standing thumbs-up in front of the Bourne Bridge with campaign logo prominently overlaid — literally placing himself in the problem he's attacking |
| Tactic | Uses relatable local frustration (Cape Cod traffic) as a proxy for broader leadership failure, converting an infrastructure grievance into an anti-incumbent accountability message without naming the opponent. |
Where it ran (delivery by region)
| Massachusetts | 82.4% |
| Rhode Island | 12.3% |
| New Hampshire | 4.5% |
| Connecticut | 0.8% |
Who saw it (delivery)
| 25-34 · female | 0.6% |
| 25-34 · male | 17.0% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 1.0% |
| 35-44 · male | 23.8% |
| 35-44 · unknown | 0.2% |
| 45-54 · female | 2.0% |
| 45-54 · male | 28.2% |
| 45-54 · unknown | 0.2% |
| 55-64 · female | 2.6% |
| 55-64 · male | 24.2% |
| 55-64 · unknown | 0.1% |
| Unknown · male | 0.0% |
