Real Ashley Moody US Inactive
Real Ashley Moody
FLIP FL-Sen
Pitch in >
Ad copy
Donate to FIRE MAGA Sen. Ashley Moody and TAKE BACK the Senate! We're running POWERFUL grassroots-funded ads like this exposing Moody for voting to defund FEMA and the National Weather Service ... a SHOCKING betrayal in hurricane-prone Florida. There's more to come. But ONLY if you step up. Moody is vulnerable - and if we defeat her, the Republican Senate majority will crumble! Donate to sustain our ad campaigns now.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.2/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 43.0 · 1.4 · 48.6 |
| Spend range | USD 400–499 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 128.45 |
| Est. audience size | — |
| Days live | 6 (2025-11-26 → 2025-12-02) |
| Created | 2025-11-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | FL — Ashley Moody |
| Surfaced by | “senate:Ashley Moody” |
🧠 AI analysis
| Issue | energy environment |
| Framing | attack opponent |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Ominous storm-battered Florida coastline with bold yellow-and-white 'IT'S HURRICANE SEASON' text overlay creating visceral urgency |
| Tactic | The ad exploits fear of hurricane vulnerability to weaponize Moody's alleged FEMA defunding vote, pairing apocalyptic storm imagery with a grassroots fundraising urgency hook to drive ActBlue donations. |
Where it ran (delivery by region)
| Florida | 22.6% |
| California | 11.8% |
| New York | 5.8% |
| Washington | 4.5% |
| Massachusetts | 4.1% |
| Colorado | 3.4% |
| Texas | 3.2% |
Who saw it (delivery)
| 18-24 · male | 0.1% |
| 25-34 · female | 0.2% |
| 25-34 · male | 0.5% |
| 35-44 · female | 0.4% |
| 35-44 · male | 0.8% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 0.9% |
| 45-54 · male | 1.7% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 6.0% |
| 55-64 · male | 9.2% |
| 55-64 · unknown | 0.3% |
| 65+ · female | 37.7% |
| 65+ · male | 40.8% |
| 65+ · unknown | 1.1% |
