Mary Peltola for Congress
Tired of potholes? Mary has brought in over $8.7 billion in infrastructure investment statewide, including $369 million for Anchorage, to improve our roads, bridges, docks, airports, and more so Alaskans can have the high-quality infrastructure they deserve.
Tired of potholes? Mary has brought in over $8.7 billion in infrastructure investment statewide, including $369 million for Anchorage, to improve our roads, bridges, docks, airports, and more so Alaskans can have the high-quality infrastructure they deserve. Click here, and see what Mary is doing for Anchorage and other Alaska communities. With your support, we can continue continue securing critical infrastructure funding for years to come.
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| Overall score | 40.5/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 63.8 · 10.7 · 64.0 |
| Spend range | USD 400–499 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 16.35 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 40 (2024-09-11 → 2024-10-21) |
| Created | 2024-09-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
| Issue | housing |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | farm rural |
| Call to action | learn more |
| Standout element | Large, muddy pothole dominating the foreground of a local Alaskan road, viscerally connecting the viewer's everyday frustration to Peltola's funding solution |
| Tactic | The ad uses a relatable pain-point hook ('Tired of potholes?') paired with a concrete dollar figure ($369 million) to translate abstract federal infrastructure spending into a tangible local benefit, building constituent trust through results-based credibility. |
| Alaska | 100.0% |
| 18-24 · female | 2.2% |
| 45-54 · male | 7.8% |
| 65+ · male | 10.5% |
| 65+ · female | 13.5% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 7.7% |
| 55-64 · female | 9.2% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 7.9% |
| 18-24 · male | 2.5% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 10.6% |
| 35-44 · female | 9.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 9.4% |
| 25-34 · female | 8.0% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.3% |