Representative Kevin Hern US Inactive
House of Representatives for the 1st District of Oklahoma
CARES Act Stimulus Relief for Americans | U.S. Representative Kevin Hern
Ad copy
Now that Congress has passed multiple coronavirus stimulus packages, I’ve gotten a lot of questions from constituents about the cash relief, how much they’re eligible for, and when they’re going to see it. No doubt you've been hearing different things from different sources, and I want to clear up any confusion you may have. I put together a survey on my website to help you find out what you’re eligible for. Fill out the information (it’s all confidential), and we will get back to you in the next couple of days with a response. We're here make sure that everyone in the First District who qualifies for relief gets it.
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Performance proxies
| Overall score | 46.2/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 83.1 · 0.6 · 80.2 |
| Spend range | USD 300–399 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 1.86 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 3 (2020-04-07 → 2020-04-10) |
| Created | 2020-04-07 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OK — Kevin Hern |
| Surfaced by | “senate:Kevin Hern” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | list building survey |
| Emotional appeal | empathy |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | survey poll |
| Standout element | Official congressional portrait with U.S. flag anchoring constituent trust |
| Tactic | Classic constituent-service list-building tactic that uses stimulus confusion as a hook to collect contact data through a survey, building the campaign list under the guise of helpful government outreach. |
Where it ran (delivery by region)
| Oklahoma | 100.0% |
| Kansas | 0.0% |
Who saw it (delivery)
| 35-44 · female | 10.2% |
| 65+ · female | 3.3% |
| 18-24 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 65+ · male | 2.3% |
| 45-54 · male | 7.0% |
| 25-34 · male | 15.5% |
| 18-24 · male | 9.0% |
| 55-64 · female | 5.2% |
| 25-34 · female | 14.9% |
| 45-54 · female | 6.8% |
| 55-64 · male | 4.4% |
| 18-24 · female | 10.1% |
| 35-44 · male | 10.7% |
| 65+ · unknown | 0.0% |
