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 | 60.4/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 92.5 · 35.5 · 75.1 |
| Spend range | USD 1,500–1,999 |
| Impressions | 450,000 – 499,999 |
| CPM (≈ $/1k impr) | USD 3.68 |
| 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 | 7.2% |
| Texas | 6.9% |
| New York | 6.8% |
| Florida | 6.1% |
| Illinois | 4.4% |
| Pennsylvania | 4.4% |
| Ohio | 4.0% |
Who saw it (delivery)
| 25-34 · unknown | 0.4% |
| 65+ · unknown | 0.1% |
| 45-54 · female | 3.7% |
| 65+ · male | 2.8% |
| 55-64 · female | 3.8% |
| 45-54 · male | 2.7% |
| 65+ · female | 3.9% |
| 55-64 · male | 2.9% |
| 18-24 · female | 31.1% |
| 55-64 · unknown | 0.1% |
| 25-34 · male | 9.0% |
| 18-24 · male | 11.4% |
| 35-44 · unknown | 0.1% |
| 45-54 · unknown | 0.0% |
| 25-34 · female | 16.6% |
| 35-44 · male | 4.2% |
| 18-24 · unknown | 0.8% |
| 35-44 · female | 6.4% |
