Dr. Robin Kelly US Inactive
ROBIN KELLY FOR SENATE
It's Time to Focus on What Really Matters
Ad copy
My opponents want to attack each other while we struggle to survive. I'm the daughter of a grocer and a postal worker. I fought my way to Congress. Now I'm running for Senate with a plan: Medicare for All, childcare under $15 a day, and affordable housing. It's time to focus on what really matters. But I need your help to win this primary. Will you donate $5, $10, or $25 today? People over politics. Always.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 24.8/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 34.4 · 0.6 · 46.7 |
| Spend range | USD 200–299 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 166.39 |
| Est. audience size | — |
| Days live | 3 (2026-03-13 → 2026-03-16) |
| Created | 2026-03-13 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Robin Kelly |
| Surfaced by | “senate:Robin Kelly” |
🧠 AI analysis
| Issue | healthcare |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | opponent, candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Opponent's face displayed on a standalone TV screen — implying he's the one attacking rather than governing |
| Tactic | Kelly uses a contrast tactic — positioning herself as the policy-focused working-class fighter while subtly framing opponent Raja as a distracted attacker, reinforced by the literal TV-screen isolation of his image. |
Where it ran (delivery by region)
| Illinois | 28.9% |
| California | 12.2% |
| New York | 6.6% |
| Texas | 4.1% |
| Florida | 3.9% |
| Washington | 2.9% |
| Michigan | 2.6% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 6.3% |
| 65+ · male | 19.6% |
| 65+ · female | 24.3% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.5% |
| 55-64 · female | 10.7% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 5.6% |
| 18-24 · male | 1.4% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 7.4% |
| 35-44 · female | 5.7% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 5.3% |
| 25-34 · female | 3.0% |
| 18-24 · unknown | 0.2% |
| 65+ · unknown | 0.5% |
