Representative Kevin Hern US Inactive
House of Representatives for the 1st District of Oklahoma
Rep. Hern joins Fox23 in support of the families of Sgt. Craig Johnson and Officer Aurash Zarkeshan
Ad copy
It’s a beautiful scene down at Lafortune Park today where KRMG and Fox23 are holding a fundraiser for the families of Sgt. Craig Johnson and Officer Aurash Zarkeshan. I was glad to stop by this morning at 6 am to show my support for these families. The fundraiser will be going on until 7 pm tonight. If you have the chance to come down to Lafortune today and support these families, please do. Remember to thank your local officers for the work they do!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.1/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 76.3 · 0.0 · 75.1 |
| Spend range | USD 300–399 |
| Impressions | 90,000 – 99,999 |
| CPM (≈ $/1k impr) | USD 3.68 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 1 (2020-07-08 → 2020-07-09) |
| Created | 2020-07-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OK — Kevin Hern |
| Surfaced by | “senate:Kevin Hern” |
🧠 AI analysis
| Issue | crime safety |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, police |
| Symbols | none |
| Call to action | none |
| Standout element | Live Fox23 news broadcast screenshot lending earned-media credibility to a community fundraiser appearance |
| Tactic | The ad borrows local TV news credibility to portray Hern as a community-first leader who shows up at 6am for fallen officers' families, driving empathy and trust without any partisan attack. |
Where it ran (delivery by region)
| Oklahoma | 100.0% |
| Kansas | 0.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 65+ · female | 3.2% |
| 55-64 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 55-64 · male | 4.2% |
| 65+ · male | 2.2% |
| 55-64 · female | 4.9% |
| 35-44 · female | 11.3% |
| 45-54 · female | 7.3% |
| 25-34 · unknown | 0.1% |
| 18-24 · male | 6.6% |
| 35-44 · male | 11.5% |
| 25-34 · male | 14.9% |
| 25-34 · female | 16.8% |
| 45-54 · male | 7.1% |
| 18-24 · female | 9.6% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.0% |
