Mary Peltola US Inactive
ALASKANS FOR MARY
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Ad copy
Mary Peltola for U.S. Senate in Alaska: This month, we close the books on our very first FEC fundraising deadline. When this deadline ends, we are legally required to report how much money we've raised and how many donations we've received since launching this campaign. Everyone will be watching: the press, our opponents, and lots of interested Lower 48ers. They're looking to see how much grassroots enthusiasm there is to send Mary to the U.S. Senate. If we file a big report, DC politicians and corporate megadonors will know they'll face tough opposition when they try to put their interests ahead of ours. So please chip in whatever you can to Mary’s campaign for U.S. Senate before the end-of-quarter deadline to help us reach this critical fundraising goal.
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Performance proxies
| Overall score | 53.5/100 |
| Spend / Reach / Long. / Eff. | 63.0 · 88.7 · 7.2 · 55.1 |
| Spend range | USD 15,000–19,999 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 53.84 |
| Est. audience size | — |
| Days live | 27 (2026-03-06 → 2026-04-02) |
| Created | 2026-03-06 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate laughing warmly in a homey Alaska living room, projecting approachability over polish |
| Tactic | FEC deadline urgency creates a credible, time-bound reason to donate while framing small grassroots contributions as a public signal of momentum against DC insiders. |
Where it ran (delivery by region)
| Alaska | 32.7% |
| California | 10.2% |
| Washington | 7.6% |
| New York | 3.6% |
| Florida | 3.3% |
| Oregon | 2.9% |
| Texas | 2.8% |
Who saw it (delivery)
| 18-24 · female | 1.3% |
| 45-54 · unknown | 0.2% |
| Unknown · male | 0.0% |
| Unknown · female | 0.0% |
| 65+ · unknown | 0.7% |
| 65+ · male | 24.3% |
| 65+ · female | 23.1% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.6% |
| 55-64 · female | 7.9% |
| 45-54 · male | 5.2% |
| 18-24 · male | 1.7% |
| 45-54 · female | 5.5% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 5.5% |
| 35-44 · female | 5.6% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 4.7% |
| 25-34 · female | 4.9% |
| 18-24 · unknown | 0.1% |
| Unknown · unknown | 0.0% |
