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 has done NOTHING to lower property insurance costs or hold companies accountable. Coretta Anthony-Smith is running for State Senate to take on the insurance companies and fight for us. Vote for Coretta in the Democratic Primary on June 24th! 📫 Last day to request Vote-by-Mail ballot: June 12, 2025 ⏰ Early Vote: June 14-22, 2025 🗳️ Election Day: June 24, 2025
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.0/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 61.7 · 4.1 · 62.5 |
| Spend range | USD 400–499 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 19.98 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 16 (2025-04-29 → 2025-05-15) |
| Created | 2025-04-29 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | IL — Anthony Smith |
| Surfaced by | “senate:Anthony Smith” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | vote |
| Standout element | Bold red-underlined 'PROTECTING US.' headline paired with candidate's direct confident gaze |
| Tactic | The ad channels populist anger at the insurance industry and political inaction, positioning Anthony-Smith as a fighter-protector archetype to convert frustration into votes in a special election. |
Where it ran (delivery by region)
| Florida | 94.2% |
| Georgia | 0.6% |
| North Carolina | 0.4% |
| Texas | 0.4% |
| Virginia | 0.3% |
| Alabama | 0.3% |
| New York | 0.3% |
Who saw it (delivery)
| 18-24 · female | 2.3% |
| 45-54 · male | 6.2% |
| 65+ · male | 9.1% |
| 65+ · female | 20.6% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 8.2% |
| 55-64 · female | 13.1% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 10.4% |
| 18-24 · male | 0.9% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 6.3% |
| 35-44 · female | 10.4% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 4.3% |
| 25-34 · female | 7.3% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.3% |
