KANSANS FOR MARSHALL
Larned, KS
Over the last 30 years, I’ve been blessed to deliver more than 5,000 babies. Every life is precious. Every life is a gift from God. I’m humbled to have Sabrina’s support. More importantly, I’m proud of her testimony for life. Unfortunately, radicals on the Kansas Supreme Court, the Democrats running for president, and Chuck Schumer’s hand-picked Kansas Senate candidate all want to guarantee abortion-on-demand. The ONLY WAY to stop them is to send someone to the Senate who believes in protecting life, someone who knows our state was founded on the belief that every life has potential. I know that, I’ve put it to practice in the House, and in the Senate, I will ALWAYS defend life. Will you ADD your name now and stand with me to protect all life?
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| Overall score | 61.4/100 |
| Spend / Reach / Long. / Eff. | 41.0 · 72.4 · 73.8 · 58.4 |
| Spend range | USD 2,000–2,499 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 34.61 |
| Est. audience size | — |
| Days live | 269 (2020-02-09 → 2020-11-04) |
| Created | 2020-02-08 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KS — Roger Marshall |
| Surfaced by | “senate:KS — Roger Marshall” |
| Issue | abortion |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | professional |
| Who pictured | candidate, diverse crowd |
| Symbols | family, church cross |
| Call to action | learn more |
| Standout element | A warm close-up of Sabrina Quinn, a Black woman from small-town Kansas, serving as a grassroots pro-life testimonial witness for a white Republican senator |
| Tactic | The ad deploys a real-voter testimonial from a relatable, diverse constituent to humanize the pro-life position and contrast Marshall's credentials as an OB-GYN against unnamed 'radical' opponents, combining personal credibility with fear of abortion-on-demand to drive persuasion. |
| Kansas | 100.0% |
| 18-24 · unknown | 0.0% |
| 55-64 · male | 7.7% |
| 35-44 · male | 1.9% |
| 45-54 · male | 3.1% |
| 18-24 · male | 0.5% |
| 65+ · male | 10.9% |
| 45-54 · female | 8.9% |
| 55-64 · female | 24.1% |
| 65+ · female | 33.7% |
| 25-34 · unknown | 0.0% |
| 25-34 · female | 2.1% |
| 65+ · unknown | 0.4% |
| 18-24 · female | 0.8% |
| 35-44 · female | 4.1% |
| 45-54 · unknown | 0.2% |
| 55-64 · unknown | 0.4% |
| 35-44 · unknown | 0.1% |
| 25-34 · male | 1.1% |