Vote Coretta Anthony-Smith US Inactive
Coretta Anthony-Smith Campaign for Florida Senate District 15, Democrat
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 | 41.4/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 66.9 · 9.4 · 68.2 |
| Spend range | USD 300–399 |
| Impressions | 35,000 – 39,999 |
| CPM (≈ $/1k impr) | USD 9.32 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 35 (2025-05-12 → 2025-06-16) |
| Created | 2025-05-12 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| 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 | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | vote |
| Standout element | Candidate wearing her own campaign t-shirt while delivering a direct-to-camera integrity pledge |
| Tactic | The 'haven't been bought and paid for' line positions the candidate as an authentic grassroots outsider, using populist anti-establishment appeal to differentiate herself in a Democratic primary while the election-date overlay creates urgency to act. |
Where it ran (delivery by region)
| Florida | 94.4% |
| Georgia | 0.5% |
| North Carolina | 0.4% |
| Texas | 0.4% |
| New York | 0.4% |
| Tennessee | 0.2% |
| Alabama | 0.2% |
Who saw it (delivery)
| 18-24 · female | 1.7% |
| 45-54 · male | 7.2% |
| 65+ · male | 11.3% |
| 65+ · female | 20.0% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 10.5% |
| 55-64 · female | 12.9% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 9.4% |
| 18-24 · male | 0.7% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 6.2% |
| 35-44 · female | 9.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 4.2% |
| 25-34 · female | 5.7% |
| 65+ · unknown | 0.3% |
