Bluejay Rising
Services for undocumented community members in Appalachia are extremely limited but much needed. We are here to help. Join our newest project to help build a support infrastructure for people forced to live in our society's shadows. Together, we can resist the cruel policies of the Trump administration and his allies. Now is the time to step up, resist, and organize! Contribute to the Immigrant Safety Resistance Fund today. *Bluejay Rising is a West Virginia community organization born out of Zach Shrewsbury's community-service-centric senatorial campaign. West Virginians are resilient, resourceful, and caring people who deserve to lead and decide the future of their own communities.*
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| Overall score | 49.3/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 68.1 · 33.9 · 57.1 |
| Spend range | USD 1,500–1,999 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 41.17 |
| Est. audience size | — |
| Days live | 124 (2025-01-31 → 2025-06-04) |
| Created | 2025-01-31 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | WV — Zachary Shrewsbury |
| Surfaced by | “senate:Zachary Shrewsbury” |
| Issue | immigration |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bearded man filming himself in a car with a bold counter-narrative caption challenging immigration fear messaging |
| Tactic | Uses a relatable working-class Appalachian messenger delivering a reframe tactic — positioning undocumented immigrants as non-threats while directing fear and anger toward the Trump administration to drive donations. |
| California | 11.5% |
| Florida | 6.8% |
| New York | 6.4% |
| Pennsylvania | 4.9% |
| Virginia | 4.6% |
| Washington | 4.2% |
| Texas | 3.8% |
| 18-24 · female | 0.3% |
| 45-54 · male | 2.1% |
| 65+ · male | 15.1% |
| 65+ · female | 45.6% |
| 55-64 · unknown | 0.4% |
| 55-64 · male | 5.6% |
| 55-64 · female | 17.8% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.3% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 1.3% |
| 35-44 · female | 2.9% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.1% |
| 25-34 · female | 1.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.7% |