Phillip Rench for Maine US Inactive
PHILLIP RENCH FOR US SENATE CAMPAIGN
Ad copy
As a Senator, my primary focus will be on lowering the cost of living in Maine and creating new, good-paying jobs, particularly in rural areas of the state. As Mainers, if we actually want to see change, we need to be open to the idea of new industries. Over the past few decades, we have seen numerous mills close, which has eventually led to the shuttering of hospitals, schools, and other social services across the State. If we want to reverse this trend, we need to reinvent our economy. The lowest-hanging fruit to do so is by bringing the space industry to Maine in a big way. If elected, I would lead the effort at the Federal level to bring the space industry to Maine. This is what it could look like:
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 42.0/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 68.1 · 8.3 · 65.7 |
| Spend range | USD 500–599 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 12.93 |
| Est. audience size | — |
| Days live | 31 (2025-10-01 → 2025-11-01) |
| Created | 2025-10-01 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Phillip Rench |
| Surfaced by | “senate:Phillip Rench” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural, factory industry |
| Call to action | learn more |
| Standout element | Shield-shaped badge with rocket graphic evoking state pride and space industry aspiration over a Maine coastal aerial shot |
| Tactic | The ad uses aspirational economic reinvention messaging — connecting Maine's proud shipbuilding heritage to a bold space industry pitch — to make an unconventional policy idea feel locally grounded and achievable. |
Where it ran (delivery by region)
| Maine | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.7% |
| 45-54 · male | 8.2% |
| 65+ · male | 19.7% |
| 65+ · female | 16.6% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 10.8% |
| 55-64 · female | 7.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.2% |
| 18-24 · male | 4.5% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 12.5% |
| 35-44 · female | 3.4% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 10.4% |
| 25-34 · female | 1.7% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.5% |
