Alexander Gaaserud for WV US Inactive
GAASERUD FOR WV
Alex Gaaserud - GOP Candidate for US House - The Tom Roten Morning Show | iHeart
Alex is from Elkins, WV and is running in WV-2 for Congress in 2024.
Ad copy
Check out my interview on the Tom Roten Show in Huntington. I had a great conversation and look forward to visiting the show again soon. Please let me know what you think and please LIKE, FOLLOW, and SHARE my Facebook page! https://www.iheart.com/podcast/269-the-tom-roten-morning-show-70632979/episode/alex-gaaserud-gop-candidate-for-106741338
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.5/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 53.0 · 0.6 · 64.3 |
| Spend range | USD 100–199 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 15.74 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 3 (2023-01-05 → 2023-01-08) |
| Created | 2023-01-04 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | WV — Alexander Gaaserud |
| Surfaced by | “senate:Alexander Gaaserud” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | neutral |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Radio station logo overlay lending media credibility to an otherwise plain headshot |
| Tactic | The ad borrows credibility from a local news radio appearance to build candidate name recognition and establish media legitimacy, using a social engagement ask to grow organic reach at low cost. |
Where it ran (delivery by region)
| West Virginia | 79.9% |
| Ohio | 10.9% |
| Pennsylvania | 8.6% |
| Maryland | 0.6% |
| Virginia | 0.0% |
Who saw it (delivery)
| 35-44 · female | 1.1% |
| 45-54 · male | 8.1% |
| 18-24 · female | 0.3% |
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.0% |
| 55-64 · unknown | 0.2% |
| 25-34 · male | 2.2% |
| 45-54 · female | 4.0% |
| 65+ · male | 23.3% |
| 25-34 · female | 0.9% |
| 35-44 · male | 3.7% |
| 55-64 · male | 14.9% |
| 65+ · female | 30.4% |
| 18-24 · male | 0.5% |
| 55-64 · female | 10.0% |
| 65+ · unknown | 0.3% |
| 25-34 · unknown | 0.0% |
