Dakarai Larriett for Senate US Inactive
ELECT DAKARAI LARRIETT
Ad copy
We know there are things we have to do differently. Campaign finance reform, term limits, and a ban on stock trading are all on the table. We can't do those things, though, if we don't have a seat at the table. I know, in this runoff election, I'm the best shot at flipping this Senate seat in November. This runoff is about more than just the Democratic Primary; it's about giving us the best chance to make real change in the future. Are you with me? Read the full story with ALPolitics.com - News and Events : https://alpolitics.com/larriett-on-the-senate-runoff-and-his-grassroots-campaign/
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.7/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 63.8 · 3.9 · 65.9 |
| Spend range | USD 300–399 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 12.71 |
| Est. audience size | — |
| Days live | 15 (2026-06-01 → 2026-06-16) |
| Created | 2026-06-01 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | — |
| Candidate | AL — Dakarai Larriett |
| Surfaced by | “senate:Dakarai Larriett” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | News article screenshot embedded alongside candidate photo to lend earned-media credibility |
| Tactic | The ad uses a grassroots authenticity appeal combined with earned-media borrowed credibility from a news feature to position Larriett as a credible reform candidate who can flip the seat in November. |
Where it ran (delivery by region)
| Alabama | 100.0% |
Who saw it (delivery)
| 18-24 · female | 6.9% |
| 45-54 · male | 5.1% |
| 65+ · male | 7.6% |
| 65+ · female | 17.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.4% |
| 55-64 · female | 8.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 6.9% |
| 18-24 · male | 9.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 6.7% |
| 35-44 · female | 6.6% |
| 25-34 · unknown | 0.4% |
| 25-34 · male | 11.1% |
| 25-34 · female | 7.4% |
| 18-24 · unknown | 0.4% |
| 65+ · unknown | 0.2% |
