Shrewsbury for U.S. Senate US Inactive
SHREWSBURY FOR SENATE
Endorsement from an incredible former AFL-CIO national organizer and my friend
Ad copy
Stewart Acuff is the former National Organizing Director for the AFL-CIO, a labor legend and leader, a journalist, an exemplary human, accomplished author, WV poet, wise soul, and a loyal friend. Stewart is someone I look up to and admire and who I’m fortunate to know. Thank you, Stewart, for the endorsement!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.2/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 80.0 · 8.8 · 65.9 |
| Spend range | USD 1,500–1,999 |
| Impressions | 125,000 – 149,999 |
| CPM (≈ $/1k impr) | USD 12.72 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 33 (2024-04-11 → 2024-05-14) |
| Created | 2024-04-11 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | WV — Zachary Shrewsbury |
| Surfaced by | “senate:Zachary Shrewsbury” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | diy amateur |
| Who pictured | workers labor |
| Symbols | none |
| Call to action | learn more |
| Standout element | bold black bar with 'PERSONAL ENDORSEMENT' label anchoring a candid selfie-style video freeze frame of a weathered labor veteran |
| Tactic | Leverages the credibility of a nationally recognized AFL-CIO labor leader to build trust with union and working-class voters through an authentic, grassroots endorsement format. |
Where it ran (delivery by region)
| West Virginia | 91.3% |
| Ohio | 0.8% |
| Florida | 0.7% |
| Virginia | 0.7% |
| Pennsylvania | 0.6% |
| North Carolina | 0.5% |
| Texas | 0.4% |
Who saw it (delivery)
| 65+ · male | 12.0% |
| 18-24 · male | 0.8% |
| 25-34 · unknown | 0.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
| 18-24 · female | 1.6% |
| 55-64 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 10.9% |
| 35-44 · male | 5.7% |
| 55-64 · female | 13.1% |
| 45-54 · male | 6.6% |
| 25-34 · female | 5.8% |
| 55-64 · male | 7.5% |
| 65+ · female | 22.1% |
| 35-44 · female | 9.2% |
| 25-34 · male | 3.9% |
| 45-54 · unknown | 0.1% |
