Julian Beaudion US Inactive
Julian Cornelius Beaudion
Anything is possible
Ad copy
Anything is possible when you have the right people there to support you. Shout out to Vaney Hariri with Think 3D Solutions, thank you for everything you do! I'm proud to call you my brother! #Endorsement #ThankYou #JulianForSiouxFalls Please remember on Tuesday June 2, 2020. Absentee ballots will still be accepted through May 31th, 2020. Learn more about my campaign, please visit my website at JulianForSiouxFalls.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 23.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 1.7 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 7 (2020-05-26 → 2020-06-02) |
| Created | 2020-05-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SD — Julian Beaudion |
| Surfaced by | “senate:Julian Beaudion” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | vote |
| Standout element | Candidate filmed in a professional event venue with Think 3D Solutions branding visible, lending grassroots credibility |
| Tactic | The ad leverages a personal endorsement shout-out and community event setting to build relatability and trust, while the GOTV message about absentee ballots adds practical urgency. |
Where it ran (delivery by region)
| South Dakota | 99.6% |
| Iowa | 0.2% |
| Maryland | 0.1% |
| Texas | 0.1% |
| Georgia | 0.1% |
Who saw it (delivery)
| 18-24 · unknown | 0.1% |
| 18-24 · male | 4.3% |
| 65+ · unknown | 0.2% |
| 55-64 · male | 7.0% |
| 65+ · female | 7.1% |
| 18-24 · female | 3.8% |
| 45-54 · female | 6.7% |
| 55-64 · female | 8.3% |
| 35-44 · male | 14.4% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 14.7% |
| 45-54 · male | 9.1% |
| 35-44 · female | 8.3% |
| 25-34 · female | 9.7% |
| 65+ · male | 5.3% |
| 35-44 · unknown | 0.5% |
| 55-64 · unknown | 0.3% |
| 45-54 · unknown | 0.2% |
