Jeff Merkley US Inactive
JEFF MERKLEY FOR OREGON
Tell Congress: We need universal vote-by-mail in 2020.
We must ensure that the 2020 election happens, happens safely, and includes every eligible voter. We cannot require millions of Americans – including medical first ....
Ad copy
In Oregon, we've been voting by mail for 20 years. You get three weeks to vote. You can do it in your PJs. You get the time to study the issues and the candidates. No one has to stand in line at polling places. And we have one of the highest voter turnouts in the nation. Universal vote-by-mail is a great idea in the best of times. But right now, in the midst of the coronavirus crisis, vote-by-mail is critical for the health of all Americans — and the health of our democracy. Sign my petition to demand national vote-by-mail in 2020.
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Performance proxies
| Overall score | 56.0/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 83.1 · 35.5 · 70.7 |
| Spend range | USD 1,000–1,499 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 6.66 |
| 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 | USPS mail truck with bold red overlay text demanding national vote-by-mail |
| Tactic | Uses Oregon's proven vote-by-mail success as social proof, then pivots to urgency via the COVID-19 crisis to drive petition signatures and list-building. |
Where it ran (delivery by region)
| California | 11.4% |
| New York | 6.6% |
| Florida | 6.4% |
| Washington | 5.3% |
| Texas | 4.7% |
| Illinois | 4.5% |
| Pennsylvania | 4.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.4% |
| 65+ · unknown | 0.5% |
| 45-54 · male | 3.5% |
| 55-64 · male | 5.9% |
| 55-64 · female | 18.8% |
| 65+ · male | 8.6% |
| 65+ · female | 27.7% |
| 45-54 · female | 11.0% |
| 18-24 · unknown | 0.1% |
| 55-64 · unknown | 0.3% |
| 45-54 · unknown | 0.2% |
| 25-34 · unknown | 0.3% |
| 18-24 · male | 0.4% |
| 35-44 · female | 10.3% |
| 35-44 · male | 2.6% |
| 25-34 · female | 6.4% |
| 18-24 · female | 1.4% |
| 25-34 · male | 1.6% |
