John Deaton for US Senate US Inactive
John Deaton for Senate Inc.
Massachusetts is broken and I'm running for Senate to fix it and save its children
The migrant crisis in Massachusetts is not a problem that will just go away, it takes real leadership and courage to find a solution that puts people before party.
Ad copy
Partisan politics is destroying Massachusetts. We need to get back to bipartisan, common sense leadership. https://www.foxnews.com/opinion/massachusetts-broken-im-running-senate-fix-help-save-its-children
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.4/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 66.9 · 1.4 · 68.2 |
| Spend range | USD 300–399 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 9.32 |
| Est. audience size | — |
| Days live | 6 (2024-10-09 → 2024-10-15) |
| Created | 2024-10-09 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — John Deaton |
| Surfaced by | “senate:John Deaton” |
🧠 AI analysis
| Issue | immigration |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | learn more |
| Standout element | Inset headshot of challenger Deaton overlaid on a large image of incumbent Elizabeth Warren at a podium, creating a visual challenger-vs.-incumbent contrast |
| Tactic | The ad uses a Fox News op-ed link to borrow credibility while visually pairing the incumbent with the challenger to frame Deaton as the commonsense antidote to Warren's partisanship. |
Where it ran (delivery by region)
| Massachusetts | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 6.2% |
| 65+ · male | 32.0% |
| 65+ · female | 24.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 20.9% |
| 55-64 · female | 9.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.2% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 2.0% |
| 35-44 · female | 0.7% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.6% |
| 25-34 · female | 0.3% |
| 65+ · unknown | 0.3% |
