John Deaton for US Senate US Inactive
JOHN DEATON FOR SENATE INC.
Ad copy
Great getting to spend time with Ray and the team at the Union Brew House in Weymouth during their employee appreciation event. Small businesses like this are the backbone of Massachusetts. Built on hard work, long hours, and real commitment to their communities and employees. When local businesses thrive, our towns thrive. It’s my mission to fight for policies that keep our small business owners supported, competitive, and growing so they can continue creating jobs and opportunity across the Commonwealth.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 28.4/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 45.5 · 1.1 · 67.0 |
| Spend range | <USD 99 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 11.0 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 5 (2026-02-12 → 2026-02-17) |
| Created | 2026-02-12 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — John Deaton |
| Surfaced by | “senate:John Deaton” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, workers labor |
| Symbols | us flag, factory industry |
| Call to action | none |
| Standout element | Candidate arm-in-arm with local brewery owner beneath bold campaign logo with US flag |
| Tactic | The ad uses authentic community visit footage to build relatability and trust with small business owners, positioning Deaton as a champion of local economic growth rather than a typical politician. |
Where it ran (delivery by region)
| Massachusetts | 88.4% |
| New York | 1.8% |
| Rhode Island | 1.4% |
| Florida | 1.1% |
| New Hampshire | 0.8% |
| California | 0.7% |
| North Carolina | 0.6% |
Who saw it (delivery)
| 18-24 · female | 9.7% |
| 45-54 · male | 4.9% |
| 65+ · male | 2.1% |
| 65+ · female | 8.7% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 4.3% |
| 55-64 · female | 12.2% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.4% |
| 18-24 · male | 3.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 5.7% |
| 35-44 · female | 13.7% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 9.1% |
| 25-34 · female | 15.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.1% |
