Mary Peltola US Inactive
ALASKANS FOR MARY
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Ad copy
Another DC super PAC aligned with the official campaign arm for Senate Republicans just announced a $6 million ad buy in the Last Frontier. If Alaska voters are watching TV or streaming anything, DC Republican super PACs are trying to take over their screens and drown us out with lies. They know Mary has what it takes to win, so they are doing everything in their power to try to stop this movement. We must fight back against these hyperpartisan attacks and make sure Alaskans hear the truth. Contribute $20 to or any amount to Mary Peltola’s campaign to keep Mary on the airwaves.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.3/100 |
| Spend / Reach / Long. / Eff. | 56.4 · 80.0 · 3.6 · 53.2 |
| Spend range | USD 9,000–9,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 69.09 |
| Est. audience size | — |
| Days live | 14 (2026-06-11 → 2026-06-25) |
| Created | 2026-06-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Blank white image with no visual content — the ad relies entirely on copy |
| Tactic | The fundraising appeal uses an urgency-and-threat framing, positioning outside Republican super PAC spending as an existential attack that only donor dollars can counter, creating a grassroots-vs-DC narrative to drive small-dollar donations. |
Where it ran (delivery by region)
| California | 14.8% |
| Washington | 11.2% |
| New York | 5.9% |
| Oregon | 4.3% |
| Massachusetts | 3.9% |
| Texas | 3.7% |
| Florida | 3.7% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · unknown | 0.1% |
| Unknown · female | 0.0% |
| 65+ · unknown | 1.0% |
| 65+ · male | 38.8% |
| 65+ · female | 30.8% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 9.6% |
| 55-64 · female | 6.9% |
| 45-54 · male | 3.4% |
| 18-24 · male | 0.2% |
| 45-54 · female | 2.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.3% |
| 35-44 · female | 1.5% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.3% |
| 25-34 · female | 1.0% |
| 18-24 · unknown | 0.0% |
| Unknown · male | 0.0% |
