Dakarai Larriett for Senate US Inactive
ELECT DAKARAI LARRIETT
Ad copy
Thank you to @alreporter for covering the CAW firings and our need to support labor. It’s critical that we prioritize the well-being of our residents, and I believe that local officials, including Mayor Randall Woodfin, are right to voice their opposition to this decision. To read the full article: https://www.alreporter.com/2026/03/24/dakarai-larriett-speaks-out-against-caw-firings-removal-of-fluoride-from-water-supply/
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.2/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 47.5 · 0.8 · 68.5 |
| Spend range | <USD 99 |
| Impressions | 5,000 – 5,999 |
| CPM (≈ $/1k impr) | USD 9.0 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 4 (2026-05-24 → 2026-05-28) |
| Created | 2026-05-24 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AL — Dakarai Larriett |
| Surfaced by | “senate:Dakarai Larriett” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, workers labor |
| Symbols | none |
| Call to action | learn more |
| Standout element | Side-by-side news article screenshot lending third-party media credibility to the candidate's labor advocacy stance |
| Tactic | The ad leverages earned media from a local news outlet to validate the candidate's pro-worker positioning, using the news screenshot as borrowed credibility to appear trustworthy rather than self-promotional. |
Where it ran (delivery by region)
| Alabama | 100.0% |
Who saw it (delivery)
| 18-24 · female | 1.8% |
| 45-54 · male | 4.4% |
| 65+ · male | 9.0% |
| 65+ · female | 25.1% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 6.1% |
| 55-64 · female | 13.4% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 9.6% |
| 18-24 · male | 2.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 5.8% |
| 35-44 · female | 9.2% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 5.8% |
| 25-34 · female | 6.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
