ELECT DAKARAI LARRIETT
Join us for a virtual phone bank in support of Dakarai Larriett’s campaign to be Alabama’s next U.S. Senator. Volunteers will help reach voters across Alabama to share Dakarai’s vision, listen to what issues matter most to their community, and educate voters on election information. No prior p...
If you're looking around, wondering what you can do about the state of our country...look no further! We are ramping up our efforts ahead of the May 19 Primary Election, and we need YOUR help reaching voters. Join us for a phonebank (or a few!) by signing up here: https://www.mobilize.us/committeetoelectdakarailarriett/event/896362/
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 23.5/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 0.8 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | — |
| Days live | 4 (2026-03-20 → 2026-03-24) |
| Created | 2026-03-19 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AL — Dakarai Larriett |
| Surfaced by | “senate:Dakarai Larriett” |
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | gotv mobilization |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | volunteer |
| Standout element | Bold 'PHONE BANK' text alongside a graphic hand holding a smartphone on a deep blue background with candidate smiling confidently arms crossed |
| Tactic | The ad uses direct urgency and personal empowerment framing ('what YOU can do') to convert passive concern into active volunteer recruitment ahead of the primary. |
| California | 14.4% |
| Texas | 8.9% |
| New York | 7.5% |
| Alabama | 7.1% |
| Florida | 7.0% |
| Illinois | 4.0% |
| North Carolina | 3.5% |
| 18-24 · female | 15.5% |
| 45-54 · male | 4.4% |
| 65+ · male | 12.1% |
| 65+ · female | 7.7% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 5.7% |
| 55-64 · female | 3.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 2.1% |
| 18-24 · male | 23.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 3.6% |
| 35-44 · female | 3.1% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 10.9% |
| 25-34 · female | 6.6% |
| 18-24 · unknown | 0.8% |
| 65+ · unknown | 0.2% |