Mary Peltola US Inactive
Mary Peltola for Congress
Ad copy
From combatting predatory foreign trawlers to fighting to reduce bycatch, Mary is doing everything she can to rehabilitate our fisheries because she knows that our communities rely on them. Alaska fisheries have kept Alaska fisheries economically and food secure. Mary is fighting to make sure that never changes. Click here, and see what a Regular Alaska Fisherman thinks about Mary's pro-fish campaign. With your support, we can preserve and rehabilitate our fisheries today and for generations to come.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 51.1/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 80.0 · 23.1 · 72.2 |
| Spend range | USD 700–799 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 5.45 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 85 (2024-08-04 → 2024-10-28) |
| Created | 2024-08-04 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
🧠 AI analysis
| Issue | agriculture rural |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | workers labor |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | Candidate leaning over a boat on a murky Alaskan river, visually embodying hands-on advocacy for fishing communities |
| Tactic | The ad uses an authentic working-Alaskan visual and a third-party fisherman testimonial hook to build grassroots credibility and reinforce Peltola's identity as a genuine champion of Alaska's fishing economy. |
Where it ran (delivery by region)
| Alaska | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 18-24 · female | 3.9% |
| 45-54 · male | 9.0% |
| 65+ · male | 4.2% |
| 65+ · female | 4.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.9% |
| 55-64 · female | 6.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 8.0% |
| 18-24 · male | 5.5% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 13.6% |
| 35-44 · female | 13.1% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 14.0% |
| 25-34 · female | 11.3% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.1% |
