Matt Dodson for US Senate US Inactive
Matt Dodson For US Senate
Matt Dodson for United States Senate | Matt Dodson for US Senate NM
Join Matt Dodson, a dedicated democratic socialist and USAF veteran, in his campaign for the United States Senate. With a history of community organizing and grassroots efforts in New Mexico, Matt stands for honesty and integrity, refusing corporate money. Support a fighter for the people!
Ad copy
Private equity firms buy up businesses, load them with debt, cut jobs, slash services, and walk away richer while workers and communities pay the price. Wall Street shouldn't be allowed to strip-mine our economy for profit. Ban private equity. #banprivateequity #toopissedofftobeboughtoff #voteNM #WorkersOverBillionaires #mattdodsonforussenate
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 49.2 · 0.3 · 69.7 |
| Spend range | <USD 99 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 7.62 |
| Est. audience size | — |
| Days live | 2 (2026-06-01 → 2026-06-03) |
| Created | 2026-06-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NM — Matt Dodson |
| Surfaced by | “senate:Matt Dodson” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | money cash, military |
| Call to action | learn more |
| Standout element | Massive bold red-and-white 'BAN PRIVATE EQUITY' text dominating the frame beside a USAF veteran candidate in a tie-dye campaign shirt |
| Tactic | Populist rage tactic anchors a simple, declarative policy demand to a relatable veteran identity, channeling class resentment toward Wall Street to drive emotional resonance with working-class voters. |
Where it ran (delivery by region)
| New Mexico | 100.0% |
Who saw it (delivery)
| 18-24 · female | 5.6% |
| 18-24 · male | 24.2% |
| 18-24 · unknown | 1.2% |
| 25-34 · female | 7.4% |
| 25-34 · male | 33.5% |
| 25-34 · unknown | 0.8% |
| 35-44 · female | 3.9% |
| 35-44 · male | 15.2% |
| 35-44 · unknown | 0.3% |
| 45-54 · female | 1.5% |
| 45-54 · male | 5.8% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 0.1% |
| 55-64 · male | 0.5% |
