McLaughlin For Montana US Inactive
MCLAUGHLIN FOR MONTANA
Can Kate McLaughlin count on you?
Ad copy
Hi I’m Kate McLaughlin. I’m a former business owner in the restaurant industry, who has had various jobs in non profits, from home health aide, victim advocate to operations specialist. My experience is in serving people. I am running for Montana House District 9 because I believe in public service. This campaign is powered by people like you, who care about keeping our Medicaid expansion program for our elder and disabled community members, who want justice for women in children and believe in adhering to our MT constitution. If you can, chip in $25 today.
↗ 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 · 0.6 · 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 | 3 (2026-05-22 → 2026-05-25) |
| Created | 2026-05-22 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MT — Kate Mclaughlin |
| Surfaced by | “senate:Kate Mclaughlin” |
🧠 AI analysis
| Issue | healthcare |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | empathy |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Blank/unloaded image with all persuasion carried entirely by the candidate's personal bio copy |
| Tactic | The ad relies on a grassroots personal narrative — highlighting the candidate's working-class background and service experience — to build empathy and drive small-dollar donations from values-aligned supporters. |
Where it ran (delivery by region)
| Montana | 100.0% |
Who saw it (delivery)
| 18-24 · male | 0.4% |
| 25-34 · female | 1.1% |
| 25-34 · unknown | 0.4% |
| 35-44 · female | 3.2% |
| 35-44 · male | 2.9% |
| 45-54 · female | 7.5% |
| 45-54 · male | 5.4% |
| 55-64 · female | 11.4% |
| 55-64 · male | 7.1% |
| 65+ · female | 36.1% |
| 65+ · male | 23.9% |
| 65+ · unknown | 0.7% |
