Tom Weiler US Inactive
WEILER FOR CONGRESS
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Ad copy
Dean Phillips has voted with Nancy Pelosi 100% of the time. He raised your taxes to: ❌ Give free tuition to illegal immigrants ❌ Support the Green New Deal Support a proven leader who will defend the American Dream. Support Tom Weiler for MN-03 on April 23.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.1/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 2.2 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 9 (2022-04-14 → 2022-04-23) |
| Created | 2022-04-14 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Tom Weiler |
| Surfaced by | “senate:Tom Weiler” |
🧠 AI analysis
| Issue | immigration |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | vote |
| Standout element | Facebook content removal notice replacing the actual ad creative |
| Tactic | The ad leverages a contrast attack tying the opponent to Pelosi and unpopular policies, but the actual creative is inaccessible due to a platform disclaimer violation, leaving only the removed-content placeholder visible. |
Where it ran (delivery by region)
| Minnesota | 100.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 55-64 · female | 5.0% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
| 65+ · female | 3.5% |
| 25-34 · male | 15.6% |
| 18-24 · male | 4.6% |
| 65+ · male | 7.2% |
| 45-54 · male | 15.5% |
| 25-34 · unknown | 0.2% |
| 55-64 · male | 13.1% |
| 35-44 · male | 20.5% |
| 25-34 · female | 3.7% |
| 45-54 · female | 4.1% |
| 18-24 · female | 1.5% |
| 45-54 · unknown | 0.1% |
| 35-44 · female | 5.1% |
| 13-17 · unknown | 0.0% |
