Tamika Lyles US Inactive
Lyles for Congress
Time to fight >>
Ad copy
Florida's affordability crisis isn't an accident; it's the result of leaders who protect insiders while families absorb the costs. I'm running for FL-16 to stabilize insurance, make housing affordable, protect healthcare, raise wages, and restore the basic promise that work should lead to security. Let's flip this seat. I'm a mother, veteran, educator, nonprofit founder, and advocate who's ready to put in the work and get this done. I served in the Air Force for seven years, taught in Florida's public schools for nine years, and I have spent a decade advocating for working families. Become a founding donor today!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 19.4/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 2.2 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | 100 – 1,000 |
| Days live | 9 (2026-04-23 → 2026-05-02) |
| Created | 2026-04-23 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Tamika Lyles |
| Surfaced by | “senate:Tamika Lyles” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | us flag, military, family |
| Call to action | donate |
| Standout element | bold blue lower-third juxtaposing candidate's podium speech against a direct callout of MAGA Republicans |
| Tactic | The ad uses a contrast-framing tactic — positioning Lyles's multi-faceted working-class biography against MAGA rhetoric to argue that talk is cheap while she has lived the work, driving urgency toward a donation. |
Where it ran (delivery by region)
| Florida | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 25-34 · female | 0.6% |
| 25-34 · male | 0.4% |
| 25-34 · unknown | 0.2% |
| 35-44 · female | 1.0% |
| 35-44 · male | 0.2% |
| 45-54 · female | 2.1% |
| 45-54 · male | 1.0% |
| 55-64 · female | 10.3% |
| 55-64 · male | 5.7% |
| 65+ · female | 44.9% |
| 65+ · male | 32.5% |
| 65+ · unknown | 0.8% |
