John Deaton for US Senate US Inactive
JOHN DEATON FOR SENATE INC.
Ad copy
Here’s a number that should make every working family in Massachusetts furious: The federal minimum wage is $7.25 an hour. It hasn’t moved since 2009. A pound of ground beef today is $6.74. If you want lean beef, it’s $8.19. That’s more than an hour of minimum wage pay for one pound of meat. While families are doing the math at the grocery store, Ed Markey has spent 50 years in Washington doing nothing about it. No serious push on wages. No real fight on food costs. Nothing. I’m John Deaton. I’m an attorney, a father, and I’ve lived in the real world, not on Capitol Hill. Massachusetts families deserve a Senator who feels the same pinch at the checkout line. Share this if you’re tired of career politicians who’ve lost touch with your grocery bill 👇
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.7/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 53.0 · 1.4 · 64.3 |
| Spend range | USD 100–199 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 15.74 |
| Est. audience size | — |
| Days live | 6 (2026-04-03 → 2026-04-09) |
| Created | 2026-04-03 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | MA — John Deaton |
| Surfaced by | “senate:John Deaton” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | money cash |
| Call to action | none |
| Standout element | Raw ground beef on a supermarket tray used as a cost-of-living price comparison prop |
| Tactic | The ad uses a visceral grocery-store item — a pound of ground beef — as a concrete price anchor to dramatize wage stagnation and pin 50 years of inaction directly on incumbent Ed Markey, triggering economic anxiety and outrage among working families. |
Where it ran (delivery by region)
| Massachusetts | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 10.2% |
| 65+ · male | 13.7% |
| 65+ · female | 12.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 13.3% |
| 55-64 · female | 11.2% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 7.6% |
| 18-24 · male | 2.1% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 12.2% |
| 35-44 · female | 4.8% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 9.5% |
| 25-34 · female | 2.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
