Mary Peltola US Inactive
Mary Peltola for Congress
Ad copy
Mary is working across the aisle to work with ALL Alaskans because she knows we can't build a future unless we do it together. The fight for fish, family, and freedom is a fight for every Alaskan - no matter who we voted for in the past or who we vote for in the future. See how Mary is working for Alaskans across the aisle. With your support, we can continue building a bipartisan coalition in the fight for fish, family, and freedom.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.5/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 80.0 · 18.7 · 68.4 |
| Spend range | USD 1,000–1,499 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 9.09 |
| Est. audience size | 1,001 – 5,000 |
| Days live | 69 (2024-08-12 → 2024-10-20) |
| Created | 2024-08-12 |
| Creative variants | 1 body · 0 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 | hope |
| Production tier | semi pro |
| Who pictured | workers labor |
| Symbols | none |
| Call to action | learn more |
| Standout element | Trump voter testimonial baked into the video frame as a lower-third subtitle, directly addressing partisan skeptics |
| Tactic | Cross-partisan testimonial tactic — using a self-identified Trump voter as a surrogate disarms Republican resistance and reinforces Peltola's bipartisan 'fish, family, freedom' brand to swing voters. |
Where it ran (delivery by region)
| Alaska | 99.8% |
| Unknown | 0.2% |
Who saw it (delivery)
| 18-24 · female | 4.1% |
| 45-54 · male | 7.6% |
| 65+ · male | 3.6% |
| 65+ · female | 5.2% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 4.9% |
| 55-64 · female | 6.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 10.4% |
| 18-24 · male | 2.8% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 12.3% |
| 35-44 · female | 15.9% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 10.7% |
| 25-34 · female | 14.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.1% |
