Phillip Rench for Maine US Inactive
PHILLIP RENCH FOR US SENATE CAMPAIGN
Strategic Lumber Reserve
Hey Folks, We need new industries in Maine and to reinvent existing ones. Decades ago, Maine was a leader in lumber production, producing over 1 billion board feet a year; however…
Ad copy
Hey Folks, We need new industries in Maine and to reinvent existing ones. Decades ago, Maine was a leader in lumber production, producing over 1 billion board feet a year; however, due to competition from subsidized industries in Canada, that number has shrunk to just 400 million. The folks I have spoken with in Northern Maine want these jobs back, and I have a plan to make it happen. Learn more here: https://phillipformaine.com/strategic-lumber-reserve/
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 31.6/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 53.0 · 0.8 · 72.5 |
| Spend range | <USD 99 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 5.21 |
| Est. audience size | — |
| Days live | 4 (2025-08-08 → 2025-08-12) |
| Created | 2025-08-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Phillip Rench |
| Surfaced by | “senate:Phillip Rench” |
🧠 AI analysis
| Issue | agriculture rural |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | nostalgia |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural, factory industry |
| Call to action | learn more |
| Standout element | Badge-style illustrated logo with pine trees and stacked logs evoking a classic heritage brand identity for Maine lumber |
| Tactic | The ad uses economic nostalgia and concrete statistics (1 billion vs. 400 million board feet) to frame Canadian subsidies as the villain and position the candidate as a pro-jobs economic revivalist with a credible plan. |
Where it ran (delivery by region)
| Maine | 100.0% |
Who saw it (delivery)
| 18-24 · male | 0.3% |
| 25-34 · female | 0.3% |
| 25-34 · male | 4.0% |
| 35-44 · female | 1.2% |
| 35-44 · male | 9.3% |
| 35-44 · unknown | 0.2% |
| 45-54 · female | 2.9% |
| 45-54 · male | 13.2% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 5.9% |
| 55-64 · male | 19.9% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 12.5% |
| 65+ · male | 29.6% |
| 65+ · unknown | 0.3% |
