McLaughlin For Montana US Inactive
MCLAUGHLIN FOR MONTANA
Families First
Families First
Families First
Ad copy
Can you please make a contribution right now to help get Kate McLaughlin to Helena? This campaign needs a surge of donations in the next 24 hours to capitalize on our momentum and show that the people are with Kate.
Can you please make a contribution right now to help get Kate McLaughlin to Helena? This campaign needs a surge of donations in the next 24 hours to capitalize on our momentum and show that the people are with Kate.
Can you please make a contribution right now to help get Kate McLaughlin to Helena? This campaign needs a surge of donations in the next 24 hours to capitalize on our momentum and show that the people are with Kate.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 19.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 0.3 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 2 (2026-05-21 → 2026-05-23) |
| Created | 2026-05-21 |
| Creative variants | 3 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Kate Mclaughlin |
| Surfaced by | “senate:Kate Mclaughlin” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Blank white image with no visual content whatsoever |
| Tactic | The ad relies entirely on urgency-driven copy with a 24-hour deadline to pressure supporters into donating, using social proof ('the people are with Kate') to motivate action, but is undermined by a completely blank image. |
Where it ran (delivery by region)
| Montana | 100.0% |
Who saw it (delivery)
| 18-24 · female | 2.2% |
| 18-24 · male | 5.6% |
| 25-34 · male | 3.4% |
| 35-44 · female | 5.6% |
| 35-44 · male | 9.0% |
| 45-54 · female | 3.4% |
| 45-54 · male | 6.7% |
| 55-64 · female | 11.2% |
| 55-64 · male | 10.1% |
| 65+ · female | 20.2% |
| 65+ · male | 21.3% |
| 65+ · unknown | 1.1% |
