Representative Kevin Hern US Inactive
House of Representatives for the 1st District of Oklahoma
Ad copy
Today, I wrote a letter to House Speaker Nancy Pelosi urging her to keep Congress in session through next week until we have a bill that can be passed by the Senate and signed by President Donald J. Trump into law. When the President declares a state of emergency, we do not abandon our posts and return home. The Senate has already called off their state work period next week and we should do the same. We owe it to our constituents to do the same and draft legislation that can pass the House, the Senate, and be signed into law by President Trump.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 40.8/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 70.7 · 1.7 · 73.6 |
| Spend range | USD 200–299 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 4.54 |
| Est. audience size | — |
| Days live | 7 (2020-03-13 → 2020-03-20) |
| Created | 2020-03-13 |
| Creative variants | 1 body · 0 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 | persuasion |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag, capitol statue |
| Call to action | none |
| Standout element | Candidate shown actively signing a letter at an official desk with an Oklahoma state flag in the background, projecting diligent leadership |
| Tactic | The ad uses a relatable 'representative at work' visual paired with urgent copy pressuring the opposing party's leader, positioning Hern as duty-bound while implicitly criticizing Democratic leadership for abandoning their posts during a crisis. |
Where it ran (delivery by region)
| Oklahoma | 100.0% |
| Kansas | 0.0% |
Who saw it (delivery)
| 35-44 · female | 15.1% |
| 35-44 · male | 12.5% |
| 45-54 · female | 15.1% |
| 65+ · female | 7.1% |
| 45-54 · male | 12.3% |
| 55-64 · male | 9.5% |
| 25-34 · female | 5.7% |
| 55-64 · female | 12.4% |
| 65+ · male | 4.9% |
| 25-34 · male | 5.0% |
| 35-44 · unknown | 0.2% |
| 55-64 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
