Dr. Ervin Yen For Governor US Inactive
Dr. Ervin Yen For Governor 2022 Campaign
Ad copy
Pay attention Oklahoma! Actions ALWAYS speak louder than words! Lip service is one thing. Life service is altogether different. *I AM FOR PUBLIC EDUCATION! I grew up in our public school system! I graduated from Putnam City High School. Went to the University of Oklahoma for my undergraduate degree. Stayed there for both Medical School and my Residency. And I have spent the past 40 years of my life dedicated to healthcare as a successful, cardiothoracic anesthesiologist. I am a complex problem solver by nature and I have a plan to ensure that our teacher's receive a significant pay raise, far more support, and the respect they deserve in Oklahoma! #Yen4Gov #VoteIndependent #Yen2Win www.Yen4Gov.com
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 38.2/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 63.8 · 0.6 · 62.5 |
| Spend range | USD 500–599 |
| Impressions | 25,000 – 29,999 |
| CPM (≈ $/1k impr) | USD 19.98 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 3 (2022-10-06 → 2022-10-09) |
| Created | 2022-10-05 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | OK — Ervin Yen |
| Surfaced by | “senate:Ervin Yen” |
🧠 AI analysis
| Issue | education |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content-removed placeholder obscuring the actual ad creative |
| Tactic | The ad uses a personal biography tactic — leveraging the candidate's own public school and OU credentials to authenticate his pro-education stance, contrasting 'lip service' with 'life service' to preempt skepticism. |
Where it ran (delivery by region)
| Oklahoma | 99.6% |
| Texas | 0.4% |
Who saw it (delivery)
| 45-54 · female | 6.6% |
| 65+ · male | 23.9% |
| 55-64 · male | 15.1% |
| 65+ · female | 30.3% |
| 45-54 · male | 9.4% |
| 55-64 · female | 14.2% |
| 65+ · unknown | 0.3% |
| 55-64 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
