Jeff Merkley US Inactive
JEFF MERKLEY FOR OREGON
Sign the petition: Abolish the Electoral College
The person who wins the most votes should win an election. Period. This is especially critical for our nation's commander-in-chief. No president, Democratic or Republican, ....
Ad copy
No President, Democratic or Republican, should ever be sworn into office after losing a popular vote. That's why I've introduced a constitutional amendment to abolish the electoral college once and for all. Sign my petition. Tell Congress to get this done.
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Performance proxies
| Overall score | 62.1/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 95.7 · 35.5 · 74.1 |
| Spend range | USD 2,500–2,999 |
| Impressions | 600,000 – 699,999 |
| CPM (≈ $/1k impr) | USD 4.23 |
| Est. audience size | — |
| Days live | 130 (2020-03-31 → 2020-08-08) |
| Created | 2020-03-31 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OR — Jeff Merkley |
| Surfaced by | “senate:Jeff Merkley” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | list building survey |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | sign petition |
| Standout element | bold blue 'SIGN THE PETITION' button anchoring a stark, text-driven graphic |
| Tactic | Classic list-building petition tactic that uses a cross-partisan framing ('Democratic or Republican') to maximize appeal and capture supporter emails while advancing a signature progressive electoral reform issue. |
Where it ran (delivery by region)
| California | 10.7% |
| Florida | 7.5% |
| New York | 6.7% |
| Texas | 5.4% |
| Washington | 4.8% |
| Pennsylvania | 4.3% |
| Illinois | 4.3% |
Who saw it (delivery)
| 45-54 · unknown | 0.2% |
| 25-34 · female | 7.6% |
| 35-44 · unknown | 0.2% |
| 65+ · unknown | 0.3% |
| 18-24 · unknown | 0.1% |
| 55-64 · female | 16.8% |
| 45-54 · female | 12.4% |
| 25-34 · male | 2.9% |
| 35-44 · male | 4.3% |
| 25-34 · unknown | 0.4% |
| 35-44 · female | 10.6% |
| 18-24 · female | 1.9% |
| 45-54 · male | 5.5% |
| 65+ · female | 19.9% |
| 55-64 · male | 7.4% |
| 65+ · male | 8.5% |
| 18-24 · male | 0.7% |
| 55-64 · unknown | 0.3% |
