Mary Peltola US Inactive
Mary Peltola for Congress
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Ad copy
In Congress, I will work to enshrine federal protections for reproductive healthcare. And I'm the only candidate in this race who will. We have the chance to make Alaska a pro-choice vote in the House of Representatives for years to come. Join our team today ⬇️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 50.8/100 |
| Spend / Reach / Long. / Eff. | 30.5 · 85.0 · 12.9 · 74.9 |
| Spend range | USD 800–899 |
| Impressions | 200,000 – 249,999 |
| CPM (≈ $/1k impr) | USD 3.78 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 48 (2022-09-13 → 2022-10-31) |
| Created | 2022-09-12 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
🧠 AI analysis
| Issue | abortion |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | farm rural |
| Call to action | donate |
| Standout element | Bold wordplay 'The ONLY CHOICE for Choice' doubled in meaning — both electoral uniqueness and reproductive rights — set against a teal Alaska wilderness silhouette |
| Tactic | The ad leverages exclusivity framing ('only candidate who will') to create urgency and differentiation, pairing the candidate's warm, confident smile with a direct donation ask to convert persuasion into action. |
Where it ran (delivery by region)
| Alaska | 100.0% |
| Oregon | 0.0% |
| Campania | 0.0% |
| Dnipropetrovsk Oblast | 0.0% |
| State of Mexico | 0.0% |
| Lviv Oblast | 0.0% |
| Picardie | 0.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.1% |
| 45-54 · male | 8.7% |
| 25-34 · unknown | 0.2% |
| 45-54 · unknown | 0.1% |
| 18-24 · female | 3.7% |
| 18-24 · male | 2.8% |
| 55-64 · female | 6.4% |
| 65+ · male | 3.6% |
| 35-44 · female | 13.4% |
| 55-64 · unknown | 0.1% |
| 45-54 · female | 7.5% |
| 35-44 · male | 14.8% |
| 25-34 · female | 14.1% |
| 25-34 · male | 13.9% |
| 55-64 · male | 5.5% |
| 65+ · female | 4.6% |
| 35-44 · unknown | 0.3% |
| 65+ · unknown | 0.1% |
