John Deaton for US Senate US Inactive
JOHN DEATON FOR SENATE INC.
Ad copy
You work your whole life to buy a home and retire. Then property taxes keep rising while government keeps asking for more. Roads need repairs. Traffic gets worse. And in Stoneham, residents are waiting 30 days for a “traffic light calibration”. Higher taxes. Higher costs. Slower government and a 53 year career politician who’s not fighting for federal funding to offset cost. Why do we keep voting for the same results? I can improve life here in Massachusetts for working families.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 35.2/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 59.2 · 0.8 · 68.8 |
| Spend range | USD 100–199 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 8.54 |
| Est. audience size | — |
| Days live | 4 (2026-06-11 → 2026-06-15) |
| Created | 2026-06-11 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — John Deaton |
| Surfaced by | “senate:John Deaton” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | us flag, military |
| Call to action | none |
| Standout element | candidate standing in front of a Stoneham veterans memorial sign with military service branch names visible, grounding the message locally |
| Tactic | The ad uses kitchen-table economic grievances (rising property taxes, deteriorating roads) tied to a hyper-local example (30-day traffic light wait) to make government incompetence feel personal, then pivots to a 'career politician' contrast attack to position Deaton as the change agent. |
Where it ran (delivery by region)
| Massachusetts | 100.0% |
Who saw it (delivery)
| 25-34 · female | 0.8% |
| 25-34 · male | 11.7% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 1.4% |
| 35-44 · male | 14.2% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 1.9% |
| 45-54 · male | 15.8% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 4.5% |
| 55-64 · male | 21.5% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 7.8% |
| 65+ · male | 19.6% |
| 65+ · unknown | 0.2% |
