Nickolas 007 Bonds for US Senate US Inactive
Nickolas C Bonds
Nickolas 007 Bonds for US Senate
Millennial & Centrist running to unseat Jim Risch on the democratic platform. New Ideas to get Idaho back on track, bring our national standing up, & bridge the divides. Building Better Bonds for a Brighter Future Tomorrow
Ad copy
Millennial & Centrist running to unseat Jim Risch on the democratic platform. New Ideas to get Idaho back on track, bring our national standing up, & bridge the divides. Building Better Bonds for a Brighter Future Tomorrow
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 18.9/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 0.0 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | — |
| Days live | 1 (2026-05-12 → 2026-05-12) |
| Created | 2026-05-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ID — Nickolas Bonds |
| Surfaced by | “senate:Nickolas Bonds” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | hope |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | QR codes and PayPal contact info crammed alongside a formal tuxedo candidate photo giving a DIY grassroots feel |
| Tactic | Low-budget awareness ad relying on novelty branding (007) and centrist outsider messaging to build name recognition with minimal production value. |
Where it ran (delivery by region)
| California | 12.4% |
| Texas | 7.0% |
| Florida | 5.8% |
| Virginia | 5.4% |
| New York | 5.1% |
| Washington | 4.0% |
| Michigan | 4.0% |
Who saw it (delivery)
| 18-24 · female | 6.1% |
| 18-24 · male | 16.6% |
| 18-24 · unknown | 0.5% |
| 25-34 · female | 5.8% |
| 25-34 · male | 16.1% |
| 25-34 · unknown | 0.7% |
| 35-44 · female | 4.0% |
| 35-44 · male | 12.9% |
| 45-54 · female | 1.4% |
| 45-54 · male | 10.5% |
| 55-64 · female | 2.8% |
| 55-64 · male | 10.3% |
| 65+ · female | 3.0% |
| 65+ · male | 9.1% |
| 65+ · unknown | 0.2% |
