Peggy Flanagan US Inactive
Peggy Flanagan for Minnesota
Donate to Peggy Flanagan for U.S. Senate
Donate to Peggy Flanagan for U.S. Senate
Ad copy
It’s Peggy Flanagan, and Fox News has been attacking me non-stop for condemning Trump’s mass deportation agenda. That means I'm doing something right. I’m not going to change who I am or what I believe in for political expediency. I vote my values, always. I’ve always stood shoulder-to-shoulder with our immigrant neighbors. I’ve been a loud opponent of ICE in Minnesota from Day One. And I’m not going to quiet down anytime soon. But if Fox News and right-wing organizations are coming after me, I’m going to need your help. Can you chip in $5 or $10 right now to counter these attacks and fuel my Senate campaign?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.0/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 51.9 · 1.9 · 57.1 |
| Spend range | USD 300–399 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 41.12 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 8 (2026-05-20 → 2026-05-28) |
| Created | 2026-05-20 |
| Creative variants | 1 body · 2 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Peggy Flanagan |
| Surfaced by | “senate:Peggy Flanagan” |
🧠 AI analysis
| Issue | immigration |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Screenshot-within-screenshot format showing a fundraising email as the ad creative, creating an authentic grassroots urgency effect |
| Tactic | Classic 'they're attacking me because I'm effective' fundraising tactic that converts opponent criticism into donor motivation, using Fox News as a villain to energize the progressive base and justify an immediate small-dollar ask. |
Where it ran (delivery by region)
| Minnesota | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 2.7% |
| 65+ · male | 12.6% |
| 65+ · female | 37.1% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 5.0% |
| 55-64 · female | 17.0% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 8.5% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.5% |
| 35-44 · male | 2.6% |
| 35-44 · female | 6.2% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 1.9% |
| 25-34 · female | 3.2% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.7% |
