Representative Kevin Hern US Inactive
House of Representatives for the 1st District of Oklahoma
Cons outweigh the pros: Hern votes NO on rushed spending package
WASHINGTON, DC – This evening, Representative Kevin Hern (OK-01) released the following statement after voting against HR 6201, the Families First Coronavirus Response Act.
Ad copy
Tonight, I voted no on H.R. 6201 for a number of reasons. The first of which are the following: • Bill text publicized: 11:56 PM • Vote called: 12:25 AM • Number of pages in bill: 110 • Total minutes bill debated: 15 • Amount of money appropriated: ???? There is no reason we couldn't have read through the proposal, debated the pros and cons, and then voted sometime later this weekend. My full statement is here on my website:
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.1/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 76.3 · 1.1 · 77.7 |
| Spend range | USD 200–299 |
| Impressions | 90,000 – 99,999 |
| CPM (≈ $/1k impr) | USD 2.63 |
| Est. audience size | — |
| Days live | 5 (2020-03-16 → 2020-03-21) |
| Created | 2020-03-16 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OK — Kevin Hern |
| Surfaced by | “senate:Kevin Hern” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | anger |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | learn more |
| Standout element | Bullet-point timeline exposing the rushed 12:25 AM vote on a 110-page bill debated only 15 minutes |
| Tactic | The ad builds credibility through transparency and specificity — precise timestamps and bullet statistics frame Hern as a principled fiscal watchdog standing against rushed, opaque legislation. |
Where it ran (delivery by region)
| Oklahoma | 100.0% |
| Kansas | 0.0% |
Who saw it (delivery)
| 35-44 · female | 16.8% |
| 35-44 · male | 16.6% |
| 25-34 · male | 10.8% |
| 55-64 · female | 7.9% |
| 45-54 · female | 10.8% |
| 25-34 · female | 11.2% |
| 45-54 · male | 10.8% |
| 65+ · male | 3.2% |
| 55-64 · male | 6.6% |
| 65+ · female | 4.7% |
| 55-64 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
| 65+ · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
