Committee to Elect Kathy Seiden
Together, we've shown that positive change begins right here in our community. Come be a part of a unique fundraiser hosted by the amazing Nikki and Dan Voelkel, joined by Ellen and Nick Binnings. It's a chance to bond, discuss our hopes for our community, and simply relish each other's company! Save the date: November 4th, from 4:00 PM to 6:00 PM. Your presence is incredibly important to me, and your support will propel us towards a more promising future for District 4. Together, let's honor the strength and determination of our community this evening. https://bestcandidate.us/kathyseiden/ #CommunityUnity #CelebratingChange #NeighborhoodStrength #SupportingDistrict4 #CommunityResilience #TogetherForChange #BuildingBetterTogether #District4Future #StrengtheningOurCommunity
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 27.2/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 43.0 · 0.8 · 65.1 |
| Spend range | <USD 99 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 14.14 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 4 (2023-10-31 → 2023-11-04) |
| Created | 2023-10-31 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | LA — Kathy Seiden |
| Surfaced by | “senate:Kathy Seiden” |
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Circular star-border photo frame in red, white, and blue surrounding the candidate's headshot |
| Tactic | The ad leverages social proof through named community hosts and a warm community-bonding narrative to lower the barrier to giving, framing the fundraiser as a social gathering rather than a transactional ask. |
| Louisiana | 97.8% |
| Mississippi | 2.2% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 10.6% |
| 45-54 · female | 5.6% |
| 25-34 · male | 5.1% |
| 35-44 · male | 4.1% |
| 25-34 · female | 14.2% |
| 45-54 · male | 9.6% |
| 65+ · female | 5.2% |
| 65+ · male | 6.4% |
| 65+ · unknown | 0.1% |
| 35-44 · female | 5.7% |
| 18-24 · female | 22.4% |
| 55-64 · female | 5.5% |
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 18-24 · unknown | 0.1% |
| 18-24 · male | 5.4% |