Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Lawsuit Against University of Montana Alleges Sex Bias - Flathead Beacon
MISSOULA – Details emerged Friday in a lawsuit filed by three former administrators and one current faculty member accusing the University of Montana of sex-based discrimination. The Missoulian reported the lawsuit filed in U.S. District Court on Wednesday alleges the university fostered a toxic ...
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When 18 women bring discrimination claims about the same workplace, people should pay attention. A just workplace requires respect for the women who speak up about unequal treatment. #WomensMonth #SecondWoman #WorkplaceEquity https://flatheadbeacon.com/2021/08/08/lawsuit-against-university-of-montana-alleges-sex-bias/
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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 (2026-03-14 → 2026-03-16) |
| Created | 2026-03-14 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Flathead Beacon news logo used as credibility anchor linking a sex-bias lawsuit to the broader discrimination narrative |
| Tactic | The ad leverages a real news article about workplace sex bias to lend third-party credibility to the candidate's women's equity message, timing it to Women's Month for maximum resonance. |
Where it ran (delivery by region)
| Montana | 67.7% |
| California | 16.1% |
| New York | 5.9% |
| Virginia | 4.9% |
| Maryland | 2.5% |
| Idaho | 1.0% |
| Washington, District of Columbia | 0.7% |
Who saw it (delivery)
| 18-24 · female | 6.4% |
| 25-34 · female | 7.0% |
| 35-44 · female | 9.3% |
| 45-54 · female | 14.6% |
| 55-64 · female | 20.7% |
| 65+ · female | 41.9% |
