Kathy Seiden US Inactive
SEIDEN FOR SENATE
Biology Isn't Bigotry
Ad copy
As your next US Senator, I will speak the truth. There are two genders — male and female — and I’ll stand firm to ensure our laws reflect biological reality, especially when it comes to girls' sports and spaces. #RileyGaines, you will have an advocate in me. Our daughters deserve opportunities that are fair, safe, and rooted in common sense. I won’t back down from that fight. 💪🇺🇸 #ProtectGirlsSports #CommonSense #WomensRights #TruthMatters #SidenForSenate #RileyGaines
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 34.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 5.8 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 22 (2025-10-23 → 2025-11-14) |
| Created | 2025-10-22 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | LA — Kathy Seiden |
| Surfaced by | “senate:Kathy Seiden” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | none |
| Standout element | Bold two-color slogan 'BIOLOGY IS NOT BIGOTRY' in white and gold against the candidate's direct-to-camera close-up |
| Tactic | The ad uses a punchy alliterative slogan and a Riley Gaines shoutout to signal cultural alignment with the anti-trans sports movement, positioning the candidate as a courageous truth-teller while framing opposition as mere bigotry-labeling rather than legitimate policy disagreement. |
Where it ran (delivery by region)
| Louisiana | 100.0% |
Who saw it (delivery)
| 18-24 · female | 4.1% |
| 45-54 · male | 9.9% |
| 65+ · male | 10.1% |
| 65+ · female | 6.5% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 12.3% |
| 55-64 · female | 6.1% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.3% |
| 18-24 · male | 5.6% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 10.3% |
| 35-44 · female | 5.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 15.2% |
| 25-34 · female | 8.4% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
