Dakarai Larriett for Senate US Inactive
ELECT DAKARAI LARRIETT
Ad copy
I think it’s important to welcome everyone into our ‘big tent.’ Democrats are a broad coalition with people on the very far left, and people who have decided they are “never Trump.” We can and should make space for as many people to hear our policies and understand how they can benefit from them. That’s not what this is, and I want to make sure folks have a clear picture of what’s at stake on May 19. 👉 Link: https://alpolitics.com/three-strikes-and-youre-out-why-a-three-time-trump-voter-has-no-place-in-the-democratic-primary/
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.9/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 55.8 · 1.7 · 66.3 |
| Spend range | USD 100–199 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 11.96 |
| Est. audience size | — |
| Days live | 7 (2026-05-12 → 2026-05-19) |
| Created | 2026-05-12 |
| 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 | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | capitol statue |
| Call to action | learn more |
| Standout element | Dual screenshot panels of candidate's op-ed flanking a tense face-off photo of the two candidates |
| Tactic | The ad uses a 'big tent' framing to appear inclusive before pivoting sharply to disqualify an opponent as a Republican wolf in sheep's clothing, leveraging a news op-ed as borrowed credibility to legitimize the attack. |
Where it ran (delivery by region)
| Alabama | 96.8% |
| Georgia | 1.7% |
| Mississippi | 0.8% |
| Tennessee | 0.7% |
Who saw it (delivery)
| 18-24 · female | 5.4% |
| 45-54 · male | 4.1% |
| 65+ · male | 4.1% |
| 65+ · female | 8.4% |
| 55-64 · unknown | 0.0% |
| 55-64 · male | 3.6% |
| 55-64 · female | 5.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.7% |
| 18-24 · male | 5.7% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 9.7% |
| 35-44 · female | 10.6% |
| 25-34 · unknown | 0.9% |
| 25-34 · male | 18.0% |
| 25-34 · female | 17.5% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.1% |
