John Deaton for US Senate US Inactive
JOHN DEATON FOR SENATE INC.
Ad copy
Work hard. Save money. Live in a cardboard box. Sounds ridiculous. But with the median home in Massachusetts costing more than $650,000, what's the alternative? We've gone way beyond making coffee at home and skipping nights out. No amount of cutting back is going to make up a six-figure down payment. How is the next generation supposed to start a family, start a business, and buy a home? We're pricing an entire generation out of the American Dream. That's why I support a simple solution: build more homes. My plan is 5 million homes in 5 years to increase supply, lower costs, and give hardworking families a real path to homeownership again.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.0/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 68.1 · 1.1 · 67.3 |
| Spend range | USD 400–499 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 10.58 |
| Est. audience size | — |
| Days live | 5 (2026-06-05 → 2026-06-10) |
| Created | 2026-06-05 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | MA — John Deaton |
| Surfaced by | “senate:John Deaton” |
🧠 AI analysis
| Issue | housing |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | workers labor |
| Symbols | family, money cash |
| Call to action | none |
| Standout element | AI-generated apartment building made entirely of cardboard boxes with real people sitting trapped inside each unit |
| Tactic | The surrealist cardboard-box-as-housing metaphor viscerally literalizes the absurdity of the housing crisis, transforming an abstract economic statistic into a humiliating visual reality that drives empathy and urgency for Deaton's 5-million-homes policy solution. |
Where it ran (delivery by region)
| Massachusetts | 100.0% |
Who saw it (delivery)
| 25-34 · female | 4.4% |
| 25-34 · male | 10.0% |
| 25-34 · unknown | 0.2% |
| 35-44 · female | 13.5% |
| 35-44 · male | 23.6% |
| 35-44 · unknown | 0.3% |
| 45-54 · female | 16.1% |
| 45-54 · male | 26.4% |
| 45-54 · unknown | 0.4% |
| 55-64 · female | 2.3% |
| 55-64 · male | 2.9% |
| 55-64 · unknown | 0.0% |
