Julian Beaudion US Inactive
Julian Cornelius Beaudion
#ForYouForUs Episode 5
Ad copy
These kids were smart and full of energy! This episode follows me during a visit to a local day care facility. Proper child care is so important for our city, and now more than ever, we realize how it impacts everything. I felt it was important for me to learn more about the rewards and struggles of the daycare owner, Corri Poore and how he teaches his kids (all under age 5). He has been a local entepreneur and day care provider for over a decade. My main priority as a city council candiadate has always been to talk to the people; learn from their experiences, & try to help when I can. . . . . Directed & filmed by Blackcardinc Edited by Kaylee King Theme music by Nikko McFadden Day care location: Little Tykes University
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.9/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 50.6 · 2.2 · 70.8 |
| Spend range | <USD 99 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 6.6 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 9 (2020-04-10 → 2020-04-19) |
| Created | 2020-04-09 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | SD — Julian Beaudion |
| Surfaced by | “senate:Julian Beaudion” |
🧠 AI analysis
| Issue | education |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, family children |
| Symbols | family |
| Call to action | learn more |
| Standout element | energetic children on a colorful alphabet rug in a vibrant daycare classroom |
| Tactic | Candidate uses a community listening tour format to build grassroots credibility and empathy by showing up in a local daycare, positioning himself as an accessible, people-first city council candidate. |
Where it ran (delivery by region)
| South Dakota | 100.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 45-54 · female | 9.4% |
| 55-64 · unknown | 0.2% |
| 45-54 · male | 5.0% |
| 65+ · unknown | 0.2% |
| 18-24 · male | 1.4% |
| 65+ · male | 7.1% |
| 45-54 · unknown | 0.1% |
| 18-24 · female | 1.9% |
| 35-44 · male | 5.9% |
| 25-34 · male | 3.7% |
| 55-64 · male | 7.4% |
| 35-44 · female | 10.5% |
| 65+ · female | 22.6% |
| 55-64 · female | 16.6% |
| 25-34 · female | 7.8% |
| 25-34 · unknown | 0.1% |
