ALASKANS FOR MARY
Please fill out this brief (less than a minute!) survey to let me know what issues are a top priority in your area. There is no problem too small. Thank you!
I’m running for U.S. Senate to actually take on the issues Alaskans are facing day to day. Factory trawlers are destroying our fisheries, homes are increasingly unaffordable and unavailable, and the costs of energy, groceries, and pretty much everything continues to rise – all while politicians and their donors feather their own nests. But I know there’s even more to it, and I want to know what’s going on in your community that needs to be addressed. What challenges are on your mind, and your family’s minds, and your neighbors’ minds? Please fill out this brief (less than a minute!) survey to let me know what issues are a top priority in your area. There is no problem too small. Thank you!
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 53.4/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 90.1 · 8.0 · 64.8 |
| Spend range | USD 5,000–5,999 |
| Impressions | 350,000 – 399,999 |
| CPM (≈ $/1k impr) | USD 14.67 |
| Est. audience size | — |
| Days live | 30 (2026-02-26 → 2026-03-28) |
| Created | 2026-02-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
| Issue | other |
| Framing | issue advocacy |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | survey poll |
| Standout element | Illustrated portrait of Peltola in Native Alaskan dress encircling a globe with Alaska highlighted in red, framing her as a fighter against DC |
| Tactic | The ad uses a list-building survey as a dual-purpose tactic — gathering voter data while reinforcing the populist 'DC vs. Alaska' narrative to deepen emotional investment in the campaign. |
| Alaska | 100.0% |
| 18-24 · female | 3.1% |
| 45-54 · unknown | 0.2% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.2% |
| 65+ · male | 9.6% |
| 65+ · female | 13.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.6% |
| 55-64 · female | 10.3% |
| 45-54 · male | 6.6% |
| 18-24 · male | 3.3% |
| 45-54 · female | 8.9% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 8.3% |
| 35-44 · female | 10.3% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 8.1% |
| 25-34 · female | 8.8% |
| 18-24 · unknown | 0.2% |
| Unknown · male | 0.0% |