Tamika Lyles US Inactive
Tamika Lyles Gillispie
Health care with Tamika
Health care is a hot topic among all candidates during election. Join me as I discuss how health care is impacting the working-class community and the best solutions. Most importantly, learn how I'm different from my opponents on this issue. I'm looking forward to seeing you there.
Ad copy
Health care is a hot topic among all candidates during election. Join me as I discuss how health care is impacting the working-class community and the best solutions. Most importantly, learn how I'm different from my opponents on this issue. I'm looking forward to seeing you there.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 19.3/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 1.7 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 7 (2020-06-10 → 2020-06-17) |
| Created | 2020-06-10 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | FL — Tamika Lyles |
| Surfaced by | “senate:Tamika Lyles” |
🧠 AI analysis
| Issue | healthcare |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | healthcare |
| Call to action | learn more |
| Standout element | bold red-and-green 'HEALTH CARE' headline with medical cross icon flanking the candidate in a confident crossed-arms pose |
| Tactic | The ad uses an event-invitation tactic to position the candidate as the go-to healthcare expert for working-class voters, differentiating her from opponents without direct attack. |
Where it ran (delivery by region)
| Florida | 100.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.4% |
| 18-24 · female | 1.4% |
| 25-34 · unknown | 0.4% |
| 45-54 · male | 4.3% |
| 25-34 · male | 2.8% |
| 55-64 · male | 3.2% |
| 45-54 · female | 20.9% |
| 65+ · male | 2.8% |
| 65+ · female | 17.7% |
| 25-34 · female | 6.7% |
| 55-64 · female | 17.7% |
| 35-44 · female | 19.9% |
| 35-44 · male | 1.8% |
