ROBIN KELLY FOR SENATE
BREAKING: Trump just fired Kristi Noem. I filed articles of impeachment. I led the charge. Nearly 200 members of Congress backed me. House Leadership told Trump: Fire her, or we will impeach her. Trump blinked. We won. This is what accountability looks like. But the fight isn't over — chip in to help me bring this fight to the Senate at RobinForSenate.com. People over politics. Always.
BREAKING: Trump just fired Kristi Noem. I filed articles of impeachment. I led the charge. Nearly 200 members of Congress backed me. House Leadership told Trump: Fire her, or we will impeach her. Trump blinked. We won. This is what accountability looks like. But the fight isn't over — chip in to help me bring this fight to the Senate at RobinForSenate.com. People over politics. Always.
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| Overall score | 31.9/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 49.2 · 1.1 · 51.7 |
| Spend range | USD 500–599 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 84.54 |
| Est. audience size | — |
| Days live | 5 (2026-03-05 → 2026-03-10) |
| Created | 2026-03-05 |
| Creative variants | 2 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Robin Kelly |
| Surfaced by | “senate:Robin Kelly” |
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | pride |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | capitol statue |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera outside Capitol columns with 'BREAKING' news framing to create urgency |
| Tactic | Leverages a breaking news hook and first-person victory narrative to convert a political moment into donor urgency, framing Kelly as a courageous leader who forced Trump's hand. |
| Illinois | 100.0% |
| 18-24 · female | 0.5% |
| 45-54 · male | 4.5% |
| 65+ · male | 18.2% |
| 65+ · female | 30.9% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 9.5% |
| 55-64 · female | 13.4% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 7.2% |
| 18-24 · male | 0.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.0% |
| 35-44 · female | 4.7% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 2.6% |
| 25-34 · female | 2.5% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.6% |