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
Coretta Anthony-Smith is a lifelong Democrat and native Floridian who is ready to fight for our community in the State Senate. She’ll defend our democracy, protect our rights, and fight to lower costs for families in our community. Vote for Coretta in the Democratic Primary! 📫 Last day to request Vote-by-Mail ballot: June 12, 2025 ⏰ Early Vote: June 14-22, 2025 🗳️ Election Day: June 24, 2025
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Performance proxies
| Overall score | 35.2/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 55.8 · 4.1 · 60.0 |
| Spend range | USD 300–399 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 27.96 |
| 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 | democracy elections |
| Framing | positive candidate |
| Message type | gotv mobilization |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd, family children |
| Symbols | family |
| Call to action | vote |
| Standout element | Bold red 'Coretta!' script logo anchoring a community photo collage of the candidate with diverse supporters |
| Tactic | The 'Rooted in Central Florida, Fighting for Us' tagline pairs local identity with populist advocacy, while the photo collage humanizes the candidate through community connection to mobilize Democratic primary voters ahead of a tight special election deadline. |
Where it ran (delivery by region)
| Florida | 95.0% |
| Georgia | 0.5% |
| New York | 0.4% |
| North Carolina | 0.4% |
| Tennessee | 0.3% |
| Virginia | 0.2% |
| Alabama | 0.2% |
Who saw it (delivery)
| 18-24 · female | 2.2% |
| 45-54 · male | 5.4% |
| 65+ · male | 9.4% |
| 65+ · female | 21.7% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 7.6% |
| 55-64 · female | 13.7% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 11.3% |
| 18-24 · male | 0.8% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 5.7% |
| 35-44 · female | 10.3% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 3.8% |
| 25-34 · female | 7.2% |
| 65+ · unknown | 0.3% |
