Phillip Rench for Maine US Inactive
PHILLIP RENCH FOR US SENATE CAMPAIGN
Donald Trump gave Susan Collins a pass, for now. Will Maine voters?
The Republican senator's maneuvering on Trump's tax and spending cuts bill shows she's walking a tightrope ahead of her 2026 reelection bid.
Ad copy
“Even though she voted against this bill, she is still responsible for it,” Rench said in a written statement. “She failed to secure adequate funding for rural hospitals and now Mainers on Medicaid will face uncertainty and loss of coverage. To make matters worse, 3-4 Trillion Dollars will be added to the already 37 Trillion National Debt, of which our children will be paying interest on for the rest of their lives.”
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 1.7 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | — |
| Days live | 7 (2025-07-06 → 2025-07-13) |
| Created | 2025-07-06 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Phillip Rench |
| Surfaced by | “senate:Phillip Rench” |
🧠 AI analysis
| Issue | healthcare |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | healthcare |
| Call to action | none |
| Standout element | Press Herald news screenshot of Susan Collins used as borrowed credibility to frame her as politically vulnerable |
| Tactic | The ad weaponizes a mainstream news article to legitimize the attack, holding Collins responsible for Medicaid cuts despite her no vote while invoking fear over rural hospital funding and generational debt burden. |
Where it ran (delivery by region)
| Maine | 99.9% |
| Unknown | 0.1% |
Who saw it (delivery)
| 25-34 · female | 0.5% |
| 25-34 · male | 0.9% |
| 25-34 · unknown | 0.0% |
| 35-44 · female | 1.7% |
| 35-44 · male | 2.6% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 2.8% |
| 45-54 · male | 6.1% |
| 45-54 · unknown | 0.2% |
| 55-64 · female | 9.9% |
| 55-64 · male | 15.1% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 30.1% |
| 65+ · male | 29.2% |
| 65+ · unknown | 0.5% |
