Rachel Fetty Anderson for U.S. Senate US Inactive
Elect Fetty Anderson Senate Campaign
www.fb.com
Ad copy
Vote in the Primary May 12 for Rachel Fetty Anderson for U.S. Senate (West Virginia) Rachel Fetty Anderson is a public interest attorney, former Morgantown City Council member, and lifelong advocate for children, families, and communities. Her work has focused on protecting vulnerable people, expanding access to healthcare, and strengthening support systems across West Virginia. If you want leadership that puts people first,take a few minutes to learn her story and what she stands for. Read all about her here: https://www.fettyandersonforsenate.com/platform #RachelFettyAnderson #VoteForChange #WestVirginia
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 31.8/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 50.6 · 0.6 · 58.7 |
| Spend range | USD 200–299 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 33.27 |
| Est. audience size | — |
| Days live | 3 (2026-05-06 → 2026-05-09) |
| Created | 2026-05-06 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | — |
| Candidate | WV — Rachel Fetty Anderson |
| Surfaced by | “senate:Rachel Fetty Anderson” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Candidate seated in a relaxed indoor setting with glasses and white jacket projecting approachable professionalism |
| Tactic | Bio-forward persuasion tactic establishes credibility through professional and civic credentials while positioning the candidate as a compassionate, people-first advocate to drive primary turnout. |
Where it ran (delivery by region)
| Texas | 6.6% |
| Florida | 6.0% |
| Ohio | 5.1% |
| California | 5.0% |
| Tennessee | 4.5% |
| New York | 4.3% |
| Indiana | 4.2% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 13.0% |
| 65+ · male | 22.3% |
| 65+ · female | 9.4% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 18.0% |
| 55-64 · female | 5.9% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 3.6% |
| 18-24 · male | 2.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 10.3% |
| 35-44 · female | 3.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 8.1% |
| 25-34 · female | 2.1% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
