Mary Peltola US Inactive
Mary Peltola for Congress
Help Support Our Energy Independence
Mary has successfully secured one of the largest investments in a renewable energy grid in U.S. history in her efforts to improve funding of the railbelt energy grid, helping Alaska to become increasingly energy-independent.
Ad copy
Mary has successfully secured one of the largest investments in a renewable energy grid in U.S. history in her efforts to improve funding of the railbelt energy grid, helping Alaska to become increasingly energy-independent. Chip in today, and we can make sure Mary can continue bringing real green energy investments to Alaska for years to come. With your support, we can make sure Alaska is more energy-independent.
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Performance proxies
| Overall score | 50.7/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 72.4 · 35.8 · 68.9 |
| Spend range | USD 500–599 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 8.45 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 131 (2024-05-01 → 2024-09-09) |
| Created | 2024-05-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
🧠 AI analysis
| Issue | energy environment |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | donate |
| Standout element | Bold red 'Green Energy' headline over a wide-open wind farm landscape evoking frontier scale |
| Tactic | Leads with a concrete legislative achievement ('largest investment in U.S. history') to build credibility before pivoting to a fundraising ask, converting accomplishment into donor momentum. |
Where it ran (delivery by region)
| Alaska | 100.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 25-34 · female | 8.9% |
| 55-64 · male | 6.9% |
| 18-24 · female | 2.9% |
| 45-54 · male | 5.5% |
| 35-44 · female | 9.6% |
| 65+ · male | 12.6% |
| 55-64 · female | 11.0% |
| 45-54 · female | 9.0% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 20.1% |
| 35-44 · male | 6.2% |
| 35-44 · unknown | 0.2% |
| 65+ · unknown | 0.4% |
| 18-24 · male | 1.0% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 5.2% |
