Mary Peltola US Inactive
Mary Peltola for Congress
My Policies — Mary Peltola For Alaska
Protect Our ALASKAWay of life My Message is simple: …FISH.…FAMILY.…Freedom. ...Fish Fighting for our fish is critical to preserving our Alaska way of life. That means reauthorizing the Magnuson–Stevens Fishery Conservation and Management Act.That means fighting against the foreign and out-of...
Ad copy
Our way of life has to be protected - I'm running to stand up for Alaska. Join #TeamMary today! ⬇️⬇️⬇️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 49.7/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 85.0 · 5.2 · 67.7 |
| Spend range | USD 2,000–2,499 |
| Impressions | 200,000 – 249,999 |
| CPM (≈ $/1k impr) | USD 10.0 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 20 (2022-10-20 → 2022-11-09) |
| Created | 2022-10-20 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
🧠 AI analysis
| Issue | agriculture rural |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, workers labor |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | Two people on an aluminum fishing boat on a river with fishing gear, anchoring the Alaska identity visually |
| Tactic | The ad uses place-based identity and subsistence fishing imagery to position Peltola as the authentic defender of the Alaskan way of life, with ranked-choice voting mechanics baked directly into the call to action. |
Where it ran (delivery by region)
| Alaska | 99.7% |
| Washington | 0.1% |
| Oregon | 0.0% |
| California | 0.0% |
| Arizona | 0.0% |
| Texas | 0.0% |
| Hawaii | 0.0% |
Who saw it (delivery)
| 25-34 · unknown | 0.1% |
| 45-54 · female | 7.1% |
| 55-64 · unknown | 0.2% |
| 18-24 · male | 3.7% |
| 35-44 · male | 8.6% |
| 25-34 · female | 10.4% |
| 45-54 · male | 6.8% |
| 25-34 · male | 10.5% |
| 65+ · female | 12.6% |
| 18-24 · unknown | 0.1% |
| 18-24 · female | 4.4% |
| 35-44 · female | 8.2% |
| 55-64 · female | 9.3% |
| 65+ · male | 9.3% |
| 55-64 · male | 8.2% |
| 35-44 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
