Hallie Shoffner US Inactive
Hallie Shoffner for Arkansas
Help us Defeat Tom Cotton
Support our grassroots campaign
Ad copy
I’m not afraid of Tom Cotton and the NRSC, but he’s sitting on a $10 million war chest and has dark money groups spending millions to attack me. We have a real shot to flip this Senate seat and give real representation to the people of Arkansas, but we need to level the playing field NOW. Chip in anything you can right now. Any amount helps!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 24.3/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 34.4 · 0.3 · 50.5 |
| Spend range | USD 100–199 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 99.7 |
| Est. audience size | — |
| Days live | 2 (2026-05-21 → 2026-05-23) |
| Created | 2026-05-21 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| 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 | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold blue text overlay 'HELP HALLIE UNSEAT TOM COTTON' anchoring the candidate's confident arms-crossed pose against a warm gold background |
| Tactic | The ad combines a David-vs-Goliath financial underdog narrative with a direct call to action, using the opponent's $10 million war chest as a fundraising lever to generate urgency and small-dollar donations. |
Where it ran (delivery by region)
| California | 9.4% |
| Texas | 8.7% |
| Missouri | 5.2% |
| Florida | 4.9% |
| Illinois | 4.6% |
| New York | 3.6% |
| Colorado | 3.3% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 18-24 · male | 0.7% |
| 25-34 · female | 0.9% |
| 25-34 · male | 1.6% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 1.0% |
| 35-44 · male | 2.1% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 2.7% |
| 45-54 · male | 3.7% |
| 55-64 · female | 7.6% |
| 55-64 · male | 9.6% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 32.6% |
| 65+ · male | 36.0% |
| 65+ · unknown | 1.1% |
