Mary Peltola for Congress
Tired of slow internet? Mary Peltola is too! That's why she's been working hard to secure billions for infrastructure funding statewide, including $559 million in Western Alaska alone! She knows that we're best off when our internet is as affordable and high speed as it can possibly be.
Tired of slow internet? Mary Peltola is too! That's why she's been working hard to secure billions for infrastructure funding statewide, including $559 million in Western Alaska alone! She knows that we're best off when our internet is as affordable and high speed as it can possibly be. Click here, and see the infrastructure funding Mary has secured for Western Alaska and Alaska at large. With your support, we can continue fighting for high-speed internet in Alaska.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 48.7/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 81.7 · 10.5 · 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 | 39 (2024-08-01 → 2024-09-09) |
| Created | 2024-08-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
| Issue | other |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | learn more |
| Standout element | Frustrated woman gripping her head at a laptop paired with bold '$559 Million' solution callout |
| Tactic | The ad uses a relatable pain-point (slow internet frustration) embodied by a stock photo to make voters feel seen, then pivots to Peltola as the delivering solution with a concrete dollar figure. |
| Alaska | 100.0% |
| Unknown | 0.0% |
| 18-24 · unknown | 0.3% |
| 55-64 · male | 4.9% |
| 35-44 · unknown | 0.3% |
| 25-34 · female | 16.4% |
| 35-44 · female | 13.0% |
| 18-24 · female | 6.3% |
| 55-64 · female | 5.2% |
| 45-54 · male | 7.7% |
| 35-44 · male | 12.2% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 7.0% |
| 25-34 · male | 13.8% |
| 65+ · unknown | 0.1% |
| 65+ · female | 3.4% |
| 65+ · male | 3.5% |
| 18-24 · male | 5.3% |
| 25-34 · unknown | 0.3% |
| 55-64 · unknown | 0.0% |