Kevin Hern US Inactive
Hern For Congress
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Add your name if you are ready to put the brakes on the Biden Administration's failed policies and fire Nancy Pelosi!
Ad copy
It’s been a year and a half since the Democrats have taken control and look at where it’s gotten us. It's time to fire Speaker Nancy Pelosi and elect a Republican majority in 2022 to put the brakes on the Biden Administration! Can I count you in?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 39.6/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 55.8 · 20.7 · 58.1 |
| Spend range | USD 400–499 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 35.96 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 76 (2022-07-29 → 2022-10-13) |
| Created | 2022-07-28 |
| 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 | attack opponent |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Bold red distressed 'STOP' text overlaid on dark desaturated photos of Biden and Pelosi |
| Tactic | Classic enemy-creation list-building tactic using fear and anger to drive petition signatures against named Democratic villains, lowering the commitment threshold to grow the donor/volunteer list. |
Where it ran (delivery by region)
| Oklahoma | 100.0% |
| Georgia | 0.0% |
Who saw it (delivery)
| 13-17 · male | 0.0% |
| 45-54 · male | 4.2% |
| 65+ · unknown | 0.3% |
| 55-64 · female | 12.1% |
| 65+ · male | 31.0% |
| 55-64 · male | 14.5% |
| 45-54 · female | 3.4% |
| 65+ · female | 29.6% |
| 55-64 · unknown | 0.1% |
| 18-24 · unknown | 0.0% |
| 25-34 · female | 0.6% |
| 25-34 · male | 0.6% |
| 18-24 · female | 0.3% |
| 35-44 · female | 1.2% |
| 35-44 · unknown | 0.1% |
| 18-24 · male | 0.3% |
| 45-54 · unknown | 0.0% |
| 35-44 · male | 1.8% |
