Vote Coretta Anthony-Smith US Inactive
Coretta Anthony-Smith Campaign for Florida Senate District 15, Democrat
Vote Coretta Anthony-Smith for SD15
Coretta Anthony-Smith believes that true leadership is about listening, showing up, and putting in the effort to make a difference.
Ad copy
Tallahassee hasn’t taken action to lower property insurance costs or hold insurance companies accountable. Coretta Anthony-Smith is running for State Senate to change that by taking on the insurance companies and fighting for us. Vote for Coretta in the Democratic Primary on or before June 24th! 📫 Last day to request a Vote-by-Mail ballot: June 12, 2025 ⏰ Early Voting: June 14–22, 2025 🗳️ Election Day: June 24, 2025
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 19.3/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 1.7 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 7 (2025-06-09 → 2025-06-16) |
| Created | 2025-06-06 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | IL — Anthony Smith |
| Surfaced by | “senate:Anthony Smith” |
🧠 AI analysis
| Issue | housing |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | vote |
| Standout element | Candidate confidently centered in frame with bold white 'PROTECTING US.' headline creating a champion-of-the-people visual contrast |
| Tactic | The ad uses a populist protection frame — pitting the candidate against faceless insurance corporations — to generate both trust in the candidate and anger at a common enemy, driving Democratic primary turnout. |
Where it ran (delivery by region)
| Florida | 91.6% |
| New York | 0.9% |
| Texas | 0.6% |
| Illinois | 0.6% |
| Tennessee | 0.4% |
| Ohio | 0.4% |
| Michigan | 0.4% |
Who saw it (delivery)
| 18-24 · female | 1.3% |
| 18-24 · male | 0.6% |
| 25-34 · female | 5.7% |
| 25-34 · male | 3.0% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 9.7% |
| 35-44 · male | 6.7% |
| 35-44 · unknown | 0.3% |
| 45-54 · female | 13.1% |
| 45-54 · male | 6.7% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 14.4% |
| 55-64 · male | 8.4% |
| 65+ · female | 20.8% |
| 65+ · male | 9.0% |
| 65+ · unknown | 0.1% |
