Alexander Gaaserud for WV US Inactive
GAASERUD FOR WV
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Ad copy
As we celebrate the end of 2022 and the beginning of 2023, please take a moment to LIKE, FOLLOW, and SHARE my Facebook Page and consider donating to my campaign for the WV 02 Congressional Seat! If everyone who sees this post gives just $1- $3 each - I will end the fundraising quarter with a bang! I will be the change WV 02 needs and work for all WV citizens. Please show your support for a better WV and give today! Thank you and Happy New Years! Click to Donate! https://secure.winred.com/gaaserud-for-wv/donate
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 47.5 · 0.0 · 68.5 |
| Spend range | <USD 99 |
| Impressions | 5,000 – 5,999 |
| CPM (≈ $/1k impr) | USD 9.0 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 1 (2022-12-31 → 2023-01-01) |
| Created | 2022-12-30 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | WV — Alexander Gaaserud |
| Surfaced by | “senate:Alexander Gaaserud” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | circular candidate headshot centered on a clean white background with name in bold red serif font |
| Tactic | Low-dollar micro-ask fundraising tactic ($1–$3) paired with social sharing request lowers the commitment barrier to maximize volume of supporters at end-of-quarter. |
Where it ran (delivery by region)
| West Virginia | 87.2% |
| Ohio | 8.5% |
| Pennsylvania | 4.2% |
| Maryland | 0.2% |
| Virginia | 0.0% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · unknown | 0.0% |
| 25-34 · female | 1.0% |
| 35-44 · male | 3.6% |
| 65+ · female | 29.9% |
| 45-54 · male | 8.6% |
| 65+ · male | 21.4% |
| 25-34 · male | 2.0% |
| 55-64 · female | 12.3% |
| 45-54 · female | 4.7% |
| 55-64 · male | 13.8% |
| 35-44 · female | 1.5% |
| 18-24 · male | 0.4% |
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.4% |
| 35-44 · unknown | 0.1% |
