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
It’s time to elect representative who will put Alaska first - that's why I’m running. Join #TeamMary today! ⬇️⬇️⬇️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.5/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 81.7 · 5.0 · 62.5 |
| Spend range | USD 3,000–3,499 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 20.0 |
| Est. audience size | 100 – 1,000 |
| Days live | 19 (2022-10-20 → 2022-11-08) |
| Created | 2022-10-16 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
🧠 AI analysis
| Issue | healthcare |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | Checklist of specific healthcare benefits (vision, hearing, dental, prescriptions) anchored by ranked-choice voting CTA 'Rank Mary First' |
| Tactic | The ad pairs a warm, smiling candidate photo with a specific healthcare benefit checklist to build trust and policy credibility, then closes with a ranked-choice voting instruction to drive direct electoral action. |
Where it ran (delivery by region)
| Alaska | 99.7% |
| Washington | 0.0% |
| Arizona | 0.0% |
| California | 0.0% |
| Kansas | 0.0% |
| Baja California Sur | 0.0% |
| Tennessee | 0.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.1% |
| 25-34 · male | 9.0% |
| 65+ · unknown | 0.2% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 9.6% |
| 18-24 · female | 2.8% |
| 45-54 · male | 7.6% |
| 65+ · female | 9.9% |
| 55-64 · female | 9.5% |
| 45-54 · unknown | 0.1% |
| 35-44 · female | 11.7% |
| 25-34 · female | 11.9% |
| 45-54 · female | 9.4% |
| 55-64 · male | 8.2% |
| 65+ · male | 7.6% |
| 18-24 · male | 2.2% |
| 55-64 · unknown | 0.2% |
| 25-34 · unknown | 0.1% |
