Mary Peltola US Inactive
Mary Peltola for Congress
Support Our Energy Independence
Mary has successfully secured one of the largest investments in a renewable energy grid in U.S. history, 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, 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.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 52.4/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 81.7 · 25.3 · 73.5 |
| Spend range | USD 700–799 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 4.61 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 93 (2024-06-08 → 2024-09-09) |
| Created | 2024-06-08 |
| 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, factory industry |
| Call to action | donate |
| Standout element | Illustrated power transmission towers against layered mountain silhouettes evoking Alaskan landscape |
| Tactic | The ad leverages a tangible legislative accomplishment — securing a historic renewable energy investment — as social proof to drive donations, framing giving as sustaining real-world progress for Alaska. |
Where it ran (delivery by region)
| Alaska | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 45-54 · female | 6.9% |
| 65+ · unknown | 0.1% |
| 65+ · female | 2.0% |
| 25-34 · unknown | 0.3% |
| 18-24 · female | 3.3% |
| 25-34 · male | 15.6% |
| 45-54 · male | 9.5% |
| 18-24 · male | 3.6% |
| 45-54 · unknown | 0.1% |
| 35-44 · female | 14.9% |
| 55-64 · female | 4.0% |
| 25-34 · female | 14.8% |
| 35-44 · male | 16.8% |
| 55-64 · male | 5.0% |
| 65+ · male | 2.6% |
| 35-44 · unknown | 0.3% |
| 18-24 · unknown | 0.1% |
