Reilly Neill for U.S. Senate US Inactive
REILLY FOR MONTANA
Ad copy
Every single mailer, every single commercial and ad bought and built with this AI and tech money is an effort to sell #Montana data centers in a tidy, undemocratic package. We won’t buy it. We need leadership here, not false promises. Take your millions in dirty money and shove it where the sun don’t shine. #ReillyforMontana Read more: https://reillyneill.substack.com/p/data-center-billionaires-try-to-buy
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 0.3 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | — |
| Days live | 2 (2026-05-23 → 2026-05-25) |
| Created | 2026-05-23 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Reilly Neill |
| Surfaced by | “senate:Reilly Neill” |
🧠 AI analysis
| Issue | energy environment |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural, money cash |
| Call to action | learn more |
| Standout element | Montana wilderness landscape juxtaposed with populist attack text against tech billionaires |
| Tactic | The ad uses raw, combative language paired with a pristine Montana landscape to frame outside tech money as a threat to local sovereignty, appealing to anti-establishment and anti-corporate sentiment. |
Where it ran (delivery by region)
| California | 6.3% |
| Florida | 5.8% |
| Ohio | 5.1% |
| Texas | 5.0% |
| Michigan | 4.6% |
| Washington | 4.5% |
| Pennsylvania | 4.3% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 3.6% |
| 65+ · male | 20.1% |
| 65+ · female | 39.4% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.2% |
| 55-64 · female | 13.3% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 4.8% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.0% |
| 35-44 · female | 3.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.2% |
| 25-34 · female | 1.4% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
