Real Ashley Moody US Inactive
Real Ashley Moody
Fire Ashley Moody
Fire Ashley Moody
Fire Ashley Moody
Donate now >>
Donate now >>
Donate now >>
Ad copy
As families across Florida and the nation struggle under rising health care costs, Florida Senator Ashley Moody backs policies that make health care more expensive for working families, with Florida set to pay the biggest price.
As families across Florida and the nation struggle under rising health care costs, Florida Senator Ashley Moody backs policies that make health care more expensive for working families, with Florida set to pay the biggest price.
As families across Florida and the nation struggle under rising health care costs, Florida Senator Ashley Moody backs policies that make health care more expensive for working families, with Florida set to pay the biggest price.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.8/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 75.1 · 0.8 · 64.8 |
| Spend range | USD 1,000–1,499 |
| Impressions | 80,000 – 89,999 |
| CPM (≈ $/1k impr) | USD 14.7 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 4 (2026-01-06 → 2026-01-10) |
| Created | 2026-01-06 |
| Creative variants | 3 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Ashley Moody |
| Surfaced by | “senate:Ashley Moody” |
🧠 AI analysis
| Issue | healthcare |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Dark, grainy video freeze-frame of Moody looking downward, conveying guilt or evasiveness |
| Tactic | Attack ad using unflattering image of opponent paired with economic fear messaging to tie her to higher healthcare costs for working families, reinforcing the 'Fire Ashley Moody' brand with a donate CTA. |
Where it ran (delivery by region)
| Florida | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 3.9% |
| 65+ · male | 27.4% |
| 65+ · female | 38.9% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 10.1% |
| 55-64 · female | 9.7% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.5% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 2.1% |
| 35-44 · female | 1.7% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 0.7% |
| 25-34 · female | 0.5% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.9% |
