Dakarai Larriett for Senate US Inactive
ELECT DAKARAI LARRIETT
www.fb.com
Ad copy
“Elon Musk’s campaign contributions have been accompanied by a series of spectacular defeats over the past year, including the loss of Wisconsin Supreme Court candidate Brad Schimel,” Larriett added. “I’m looking forward to going head-to-head with Barry Moore this November!” Read the full story: https://www.alreporter.com/2026/04/21/u-s-senate-candidate-craig-jelks-slams-moore-over-musk-donations/
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.9/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 49.2 · 0.6 · 69.7 |
| Spend range | <USD 99 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 7.62 |
| Est. audience size | — |
| Days live | 3 (2026-05-25 → 2026-05-28) |
| Created | 2026-05-24 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | AL — Dakarai Larriett |
| Surfaced by | “senate:Dakarai Larriett” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | learn more |
| Standout element | Alabama Political Reporter masthead lending third-party credibility to the candidate's attack on Musk-linked donations |
| Tactic | The ad borrows news media credibility from the Alabama Political Reporter to frame Larriett as a principled reformer opposing outside billionaire money, turning Musk's string of electoral losses into a liability for opponent Barry Moore. |
Where it ran (delivery by region)
| Alabama | 92.0% |
| Georgia | 6.5% |
| Mississippi | 1.1% |
| Tennessee | 0.4% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 5.3% |
| 65+ · male | 18.4% |
| 65+ · female | 33.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 8.9% |
| 55-64 · female | 11.0% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.6% |
| 18-24 · male | 0.7% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 6.1% |
| 35-44 · female | 3.5% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 4.2% |
| 25-34 · female | 2.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
