Rachel Fetty Anderson for U.S. Senate US Inactive
Elect Fetty Anderson Senate Campaign
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Rachel Fetty Anderson is running for U.S. Senate. Learn about her platform, priorities, and how to get involved.
Ad copy
Rachel Fetty Anderson for U.S. Senate 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/
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.2/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 49.2 · 1.7 · 69.7 |
| Spend range | <USD 99 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 7.62 |
| Est. audience size | — |
| Days live | 7 (2026-04-07 → 2026-04-14) |
| Created | 2026-04-07 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | WV — Rachel Fetty Anderson |
| Surfaced by | “senate:Rachel Fetty Anderson” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Bold gold-and-white name typography against a dark rustic wood-grain background flanking a warm candidate portrait |
| Tactic | The ad builds name recognition and character trust by pairing a warm personal photo with value-laden tagline words (Integrity, Empathy, Accountability) and a biography that frames the candidate as a lifelong community protector rather than a politician. |
Where it ran (delivery by region)
| West Virginia | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.0% |
| 18-24 · male | 0.2% |
| 25-34 · female | 0.2% |
| 25-34 · male | 0.6% |
| 35-44 · female | 0.9% |
| 35-44 · male | 1.3% |
| 35-44 · unknown | 0.0% |
| 45-54 · female | 1.3% |
| 45-54 · male | 3.0% |
| 55-64 · female | 4.3% |
| 55-64 · male | 12.1% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 28.9% |
| 65+ · male | 46.3% |
| 65+ · unknown | 0.7% |
