Steve Botsford for US Senate US Inactive
Botsford for Illinois
Ad copy
It's go time! One of the things our opponents will be looking for is how serious our support is and the way they'll judge it is by donations. We're not starting slow. We can't! We're already running digital ads and spreading the word about how we're different. Today, I ask that you chip in $25, $50, $100, or anything you can afford to help our campaign keep up the momentum in our launch. Thank you for being a friend and a supporter. Together we can win the race for Senate! https://secure.actblue.com/donate/botsfordsocial
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 36.4/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 61.7 · 1.4 · 70.7 |
| Spend range | USD 100–199 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 6.64 |
| Est. audience size | — |
| Days live | 6 (2025-11-13 → 2025-11-19) |
| Created | 2025-11-13 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Steve Botsford |
| Surfaced by | “senate:Steve Botsford” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold red-and-white candidate name logo with Illinois state silhouette icon anchoring the image |
| Tactic | Classic campaign launch fundraising urgency tactic — framing donations as a public signal of seriousness to opponents to motivate early small-dollar donors. |
Where it ran (delivery by region)
| Illinois | 100.0% |
Who saw it (delivery)
| 18-24 · female | 7.5% |
| 45-54 · male | 5.4% |
| 65+ · male | 2.1% |
| 65+ · female | 2.7% |
| 55-64 · unknown | 0.0% |
| 55-64 · male | 2.8% |
| 55-64 · female | 3.5% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 5.8% |
| 18-24 · male | 11.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 12.8% |
| 35-44 · female | 9.6% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 21.6% |
| 25-34 · female | 14.0% |
| 18-24 · unknown | 0.3% |
| 65+ · unknown | 0.0% |
