Todd Achilles for Idaho US Inactive
TODD ACHILLES FOR IDAHO
Ad copy
My opponent Jim Risch raises 95% of his money out of state. So I flew to New York to find out why Manhattanites are SO obsessed with Idaho. Spoiler: they're not. 🗽😅 If Jim Risch won't represent Idaho, we will. But here's the challenge: for every dollar he raises there, we need to match it right here at home. Idahoans funding an Idaho senator. Radical concept, right? $5. $10. $20. It all adds up. Link in bio — let's beat New York. 💪🇺🇸
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.9/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 55.8 · 1.7 · 66.3 |
| Spend range | USD 100–199 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 11.96 |
| Est. audience size | — |
| Days live | 7 (2026-05-29 → 2026-06-05) |
| Created | 2026-05-29 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ID — Todd Achilles |
| Surfaced by | “senate:Todd Achilles” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | capitol statue, money cash, us flag |
| Call to action | donate |
| Standout element | Candidate standing on a New York City street with a Statue of Liberty illustration and 'New York' fruit sticker graphic driving home the out-of-state money contrast |
| Tactic | The ad uses humorous self-deprecation and populist framing — physically going to NYC to mock where Risch's money comes from — to turn a fundraising ask into a David vs. Goliath narrative that makes small donations feel patriotically defiant. |
Where it ran (delivery by region)
| Idaho | 40.8% |
| Washington | 5.5% |
| California | 5.0% |
| Utah | 4.3% |
| Texas | 3.3% |
| New York | 3.1% |
| Oregon | 2.9% |
Who saw it (delivery)
| 18-24 · female | 4.7% |
| 18-24 · male | 13.2% |
| 18-24 · unknown | 0.5% |
| 25-34 · female | 12.4% |
| 25-34 · male | 31.2% |
| 25-34 · unknown | 0.6% |
| 35-44 · female | 8.2% |
| 35-44 · male | 14.8% |
| 35-44 · unknown | 0.2% |
| 45-54 · female | 3.3% |
| 45-54 · male | 5.0% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 2.6% |
| 55-64 · male | 3.2% |
| 55-64 · unknown | 0.0% |
