ALASKANS FOR MARY
Donate now
Can you chip in to Mary Peltola’s campaign for U.S. Senate in Alaska ahead of our end-of-quarter FEC fundraising deadline on 6/30? This is a critical moment of our campaign when we can show the DC establishment that we have what it takes to win this TOSS-UP Senate race. The FEC filing deadline is just days away, and this is the most strategic time that you could choose to give. Mary is fighting for Alaskans who are too often left behind by the system in DC that’s enriching millionaires and billionaires, but she needs your support to fight back. If you’re with Mary, please donate today, $5, $10, $20, or whatever you can afford, before the FEC deadline on 6/30.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 48.8/100 |
| Spend / Reach / Long. / Eff. | 53.9 · 83.1 · 0.8 · 57.3 |
| Spend range | USD 7,000–7,999 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 40.0 |
| Est. audience size | — |
| Days live | 4 (2026-06-25 → active) |
| Created | 2026-06-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
| Issue | jobs labor |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, workers labor |
| Symbols | farm rural |
| Call to action | donate |
| Standout element | Candidate in a Teamsters union t-shirt standing on an Alaskan riverbank, projecting authentic grassroots relatability |
| Tactic | The combination of a Teamsters shirt, wild Alaskan scenery, and FEC deadline urgency leverages both labor identity and scarcity-based fundraising pressure to motivate small-dollar donors. |
| Alaska | 25.5% |
| California | 11.0% |
| Washington | 9.8% |
| Oregon | 3.9% |
| New York | 3.7% |
| Massachusetts | 2.6% |
| Colorado | 2.6% |
| 18-24 · female | 0.8% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.8% |
| 65+ · male | 30.1% |
| 65+ · female | 24.8% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 9.6% |
| 55-64 · female | 8.3% |
| 45-54 · male | 4.9% |
| 18-24 · male | 0.6% |
| 45-54 · female | 5.0% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.1% |
| 35-44 · female | 4.7% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 2.5% |
| 25-34 · female | 3.0% |
| 18-24 · unknown | 0.1% |
| Unknown · male | 0.0% |