Mary Peltola US Inactive
Mary Peltola for Congress
Your Vote Matters!
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 factory trawler op...
Ad copy
As your representative, I plan to carry on Don Young's legacy of working across party lines. Help us work for a better Alaska by voting #TeamMary when you cast your ballot!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 51.5/100 |
| Spend / Reach / Long. / Eff. | 52.4 · 88.7 · 2.5 · 62.5 |
| Spend range | USD 6,000–6,999 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 20.0 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 10 (2022-10-30 → 2022-11-09) |
| Created | 2022-10-30 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | nostalgia |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | vote |
| Standout element | Smiling photo of Peltola seated alongside the late Don Young evoking continuity and cross-party unity |
| Tactic | Borrowed-legacy tactic: by anchoring Peltola's identity to the beloved late Republican congressman Don Young, the ad disarms partisan resistance and positions her as the true heir to bipartisan Alaskan representation. |
Where it ran (delivery by region)
| Alaska | 100.0% |
| Virginia | 0.0% |
Who saw it (delivery)
| 13-17 · unknown | 0.0% |
| 35-44 · male | 9.2% |
| 45-54 · female | 7.0% |
| 18-24 · female | 6.4% |
| 65+ · male | 6.5% |
| 18-24 · male | 5.6% |
| 55-64 · female | 7.2% |
| 45-54 · male | 7.4% |
| 25-34 · male | 13.3% |
| 35-44 · female | 8.4% |
| 55-64 · male | 6.5% |
| 13-17 · male | 0.0% |
| 65+ · female | 8.9% |
| 25-34 · female | 12.8% |
| 35-44 · unknown | 0.2% |
| 65+ · unknown | 0.2% |
| 13-17 · female | 0.0% |
| 55-64 · unknown | 0.1% |
| 25-34 · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
| 18-24 · unknown | 0.1% |
