Hallie Shoffner US Inactive
Hallie Shoffner for Arkansas
Chip in $25 Today | Flip the Senate
Support our grassroots campaign
Ad copy
Hey, it’s Hallie. I’m taking on Tom Cotton and the Dark Money groups behind him to finally deliver for the people of Arkansas. For the small business owner. For the farmer. For the families who are fighting just to stay afloat. We need grassroots support if we’re going to win this. So, if you believe in taking on MAGA acolytes like Tom Cotton and winning back the Senate, will you chip in to my campaign right now?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 36.0/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 55.8 · 3.0 · 50.5 |
| Spend range | USD 1,000–1,499 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 99.96 |
| Est. audience size | — |
| Days live | 12 (2026-06-09 → 2026-06-21) |
| Created | 2026-06-09 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | AR — Hallie Shoffner |
| Surfaced by | “senate:Hallie Shoffner” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | intimate selfie-style video close-up creating a direct, unfiltered personal connection with the viewer |
| Tactic | The ad deploys a DIY authenticity tactic — a casual, unproduced selfie video — to signal grassroots credibility while framing the race as a David vs. Goliath fight against dark money and Tom Cotton, driving urgency toward a $25 donation ask. |
Where it ran (delivery by region)
| California | 11.7% |
| Texas | 7.1% |
| Florida | 6.5% |
| Illinois | 4.1% |
| New York | 4.0% |
| Michigan | 3.9% |
| Washington | 3.8% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.8% |
| 65+ · male | 42.5% |
| 65+ · female | 22.3% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 13.9% |
| 55-64 · female | 7.2% |
| 45-54 · male | 5.1% |
| 18-24 · male | 0.2% |
| 45-54 · female | 2.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.5% |
| 35-44 · female | 1.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 1.2% |
| 25-34 · female | 0.5% |
| Unknown · female | 0.0% |
