SWANSON FOR CONGRESS
Michael Swanson is running for Congress in 2022. He faces an uphill battle in a region that has been Republican for over 80 years.
Our Representatives in Congress aren’t going to Washington to fight for every day people like you and me. Many of them are only fighting for their corporate donors. With an average contribution of $57.37, people are making a statement that our government officials should not be bought. Will you chip in to help keep the momentum going?
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 32.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 0.8 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | — |
| Days live | 4 (2021-05-27 → 2021-05-31) |
| Created | 2021-05-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — Michael Swanson |
| Surfaced by | “senate:Michael Swanson” |
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | money cash |
| Call to action | donate |
| Standout element | Ad removed by Facebook for missing disclaimer — only the removal notice is visible |
| Tactic | The ad leverages a small average donation amount ($57.37) as social proof to frame the campaign as a grassroots people-powered movement against corporate-funded incumbents, appealing to populist anti-establishment anger. |
| Texas | 7.2% |
| California | 4.9% |
| North Carolina | 4.4% |
| Georgia | 4.3% |
| Mississippi | 4.2% |
| Ohio | 3.9% |
| New York | 3.7% |
| 18-24 · unknown | 0.2% |
| 18-24 · female | 8.0% |
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 25-34 · female | 5.6% |
| 25-34 · male | 12.1% |
| 18-24 · male | 8.9% |
| 45-54 · male | 10.3% |
| 35-44 · unknown | 0.1% |
| 55-64 · male | 13.9% |
| 35-44 · male | 12.8% |
| 55-64 · female | 7.1% |
| 65+ · male | 7.6% |
| 45-54 · female | 3.3% |
| 65+ · female | 6.0% |
| 35-44 · female | 3.8% |
| 25-34 · unknown | 0.1% |