Dakarai Larriett for Senate US Inactive
ELECT DAKARAI LARRIETT
Ad copy
I'm running for the U.S. Senate because I believe Alabamians deserve something better. Don't let anyone tell you this seat isn't winnable. We did it in 2017, and we can do it again with your help. Can you chip in $10 today? https://secure.actblue.com/donate/dakarai-larriett-2 Read the full story: https://www.al.com/politics/2025/05/alabama-senate-candidate-says-democrat-can-win-tubervilles-seat-we-did-this-in-2017.html
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 36.9/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 59.2 · 4.1 · 60.6 |
| Spend range | USD 400–499 |
| Impressions | 15,000 – 19,999 |
| CPM (≈ $/1k impr) | USD 25.69 |
| Est. audience size | — |
| Days live | 16 (2026-01-30 → 2026-02-15) |
| Created | 2026-01-30 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AL — Dakarai Larriett |
| Surfaced by | “senate:Dakarai Larriett” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | News article screenshot paired with candidate photo reinforcing media-validated electability argument |
| Tactic | The ad leverages the 2017 Doug Jones upset as social proof to overcome donor skepticism about viability, pairing a credible news headline with a direct low-dollar ask to lower the barrier to entry. |
Where it ran (delivery by region)
| Alabama | 99.1% |
| Mississippi | 0.5% |
| Tennessee | 0.4% |
Who saw it (delivery)
| 18-24 · female | 1.4% |
| 45-54 · male | 8.7% |
| 65+ · male | 20.4% |
| 65+ · female | 14.7% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 13.8% |
| 55-64 · female | 7.9% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 4.9% |
| 18-24 · male | 3.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 8.3% |
| 35-44 · female | 5.9% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 6.2% |
| 25-34 · female | 3.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
