Tamika Lyles US Inactive
Tamika Lyles Gillispie
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Request a Mail Ballot
2509 E. Irlo Bronson Memorial Highway, Kissimmee FL, 34744 · Hours: M-F 8am - 5pm · P: 407-742-6000 · TDD: 1-800-955-8771 · E: [email protected]
Ad copy
COVID-19 has forced us into doing things differently. But, please don't let this pandemic limit your voice in the upcoming election. Use the link below to register to vote by mail. Use this time to research candidates and let's prepare to create change on August 18th. #LylesforHD43
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 19.2/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 1.1 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | — |
| Days live | 5 (2020-05-12 → 2020-05-17) |
| Created | 2020-05-12 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | FL — Tamika Lyles |
| Surfaced by | “senate:Tamika Lyles” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | informational |
| Message type | gotv mobilization |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | vote |
| Standout element | Facebook content removal notice replacing the original ad creative |
| Tactic | The ad pivots COVID-19 disruption into a civic urgency message, using the pandemic context to drive vote-by-mail registration and turnout for a specific primary date. |
Where it ran (delivery by region)
| Florida | 100.0% |
Who saw it (delivery)
| 65+ · male | 17.0% |
| 35-44 · female | 4.2% |
| 65+ · female | 17.0% |
| 55-64 · female | 13.3% |
| 25-34 · female | 2.7% |
| 45-54 · female | 7.2% |
| 45-54 · male | 9.5% |
| 35-44 · male | 5.3% |
| 55-64 · male | 17.2% |
| 25-34 · male | 3.2% |
| 35-44 · unknown | 0.3% |
| 18-24 · female | 1.1% |
| 18-24 · male | 1.9% |
| 55-64 · unknown | 0.3% |
