Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
Montanans don’t have the money or political clout to challenge billionaires using our resources for profit. Even if a billionaire breaks with Trump, they still pose a threat when they bend rules to serve themselves, not the public. #Montana or #Memphis, #JustSayNo to billionaires. #ReillyforMontana
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 0.8 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | — |
| Days live | 4 (2025-06-07 → 2025-06-11) |
| Created | 2025-06-07 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | factory industry, money cash |
| Call to action | none |
| Standout element | candidate filmed outdoors with a clip-on mic in a candid, unpolished selfie-video style evoking grassroots authenticity |
| Tactic | The ad leverages populist anti-billionaire anger and local identity ('Montana or Memphis') to frame the candidate as an everyday Montanan standing up to wealthy outside interests, using DIY production to reinforce the outsider-vs-elites contrast. |
Where it ran (delivery by region)
| California | 20.0% |
| Texas | 6.6% |
| Florida | 6.0% |
| New York | 4.3% |
| Washington | 3.5% |
| Pennsylvania | 3.4% |
| Ohio | 3.1% |
Who saw it (delivery)
| 18-24 · female | 0.7% |
| 45-54 · male | 11.9% |
| 65+ · male | 17.1% |
| 65+ · female | 16.1% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 18.9% |
| 55-64 · female | 12.7% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 6.2% |
| 18-24 · male | 1.4% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 5.8% |
| 35-44 · female | 3.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 3.2% |
| 25-34 · female | 1.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
