John Deaton for US Senate US Inactive
JOHN DEATON FOR SENATE INC.
Ad copy
As I travel across Massachusetts, I want to meet the entrepreneurs, small business owners, and restauranteurs who keep our communities thriving. Lately, that has brought me to places like Benny's Caribbean Restaurant in Worcester, where Benny and Nadia have built something special. Great food, great people, and a great example of the hard work and determination it takes to run a small business. Massachusetts should be a place where entrepreneurs can succeed, grow, and create opportunity. Rising costs and red tape shouldn't make it harder every year for people to pursue the American Dream. If you're in Worcester, stop by Benny's Caribbean Restaurant and support a local business that's helping make our communities stronger. Got a business you want me to stop by? Post the name in the comments.
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Performance proxies
| Overall score | 31.1/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 51.9 · 0.8 · 71.7 |
| Spend range | <USD 99 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 5.82 |
| 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 | positive candidate |
| Message type | persuasion |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd |
| Symbols | us flag, family |
| Call to action | none |
| Standout element | candidate arm-in-arm with diverse small business owners in front of his campaign bus |
| Tactic | Uses authentic community meet-and-greet imagery to humanize the candidate and signal economic populism, appealing to small business owners and diverse working-class voters through relatability over policy detail. |
Where it ran (delivery by region)
| Massachusetts | 99.0% |
| Connecticut | 1.0% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 18-24 · male | 2.4% |
| 18-24 · unknown | 0.0% |
| 25-34 · female | 3.7% |
| 25-34 · male | 17.0% |
| 25-34 · unknown | 0.2% |
| 35-44 · female | 9.8% |
| 35-44 · male | 34.2% |
| 35-44 · unknown | 0.2% |
| 45-54 · female | 8.3% |
| 45-54 · male | 23.7% |
| 45-54 · unknown | 0.3% |
