Mary Peltola US Inactive
Mary Peltola for Congress
Ad copy
Nick Begich is in it for himself. From outsourcing our jobs to scamming seniors, to calling Social Security a "Ponzi Scheme" and more, it's clear that he will always put himself before Alaska. Click to learn more and help us fight for a pro-fish, pro-family, pro-freedom future. With your support, we can ensure Alaska has the leadership it deserves - leadership that won't scam us.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.4/100 |
| Spend / Reach / Long. / Eff. | 30.5 · 75.1 · 4.4 · 67.7 |
| Spend range | USD 800–899 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 9.99 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 17 (2024-10-20 → 2024-11-06) |
| Created | 2024-10-20 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
🧠 AI analysis
| Issue | social security medicare |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, seniors |
| Symbols | none |
| Call to action | learn more |
| Standout element | Desaturated black-and-white street-level video frame of Peltola engaging with Alaskans in Fairbanks, projecting grassroots authenticity |
| Tactic | The ad pairs sharp character attacks on Begich (job outsourcing, Social Security 'Ponzi Scheme') with aspirational Alaska-identity framing ('pro-fish, pro-family, pro-freedom') to simultaneously disqualify the opponent and rally voters around a positive local identity. |
Where it ran (delivery by region)
| Alaska | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 5.3% |
| 65+ · male | 22.2% |
| 65+ · female | 30.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 3.0% |
| 55-64 · female | 5.3% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 7.1% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 7.4% |
| 35-44 · female | 7.9% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 4.9% |
| 25-34 · female | 3.8% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
