Jeanne Shaheen US Inactive
SHAHEEN FOR SENATE
STOP COREY LEWANDOWSKI: Give now to defend NH’s Dem Senate seat!
Every dollar DOUBLED to win in NH and take back the Senate for Democrats.
Ad copy
𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚: Corey Lewandowski just met with Donald Trump and Mitch McConnell on Air Force One – plotting their campaign to buy New Hampshire’s Senate seat. GOP insiders are lining up behind Lewandowski, the man who put Trump in the White House. But Roll Call says we can’t take back the Senate for Democrats if we lose this seat! That’s why a group of donors just offered to MATCH ALL GIFTS to help us fight back – but we’re still just $2,174 short, and we need to close the gap before 11:59 p.m. Donate now to defend New Hampshire’s Senate seat and take back the Senate for Democrats!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 36.4/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 53.0 · 9.4 · 48.4 |
| Spend range | USD 1,000–1,499 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 131.53 |
| Est. audience size | — |
| Days live | 35 (2019-11-26 → 2019-12-31) |
| Created | 2019-11-21 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | NH — Jeanne Shaheen |
| Surfaced by | “senate:Jeanne Shaheen” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Dark, looming black-and-white photos of Trump and Lewandowski juxtaposed against a bright, smiling Shaheen photo — villain vs. hero split composition |
| Tactic | Classic fear-plus-urgency fundraising tactic: frames the opponent as a Trump puppet threatening Senate control, then deploys a matched-gift deadline to compel immediate donation action. |
Where it ran (delivery by region)
| California | 12.2% |
| New Hampshire | 12.0% |
| New York | 8.6% |
| Massachusetts | 8.1% |
| Florida | 6.0% |
| Pennsylvania | 3.3% |
| Texas | 3.2% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 18-24 · female | 0.2% |
| 18-24 · male | 0.2% |
| 55-64 · male | 6.0% |
| 65+ · male | 20.9% |
| 55-64 · female | 12.8% |
| 45-54 · male | 1.4% |
| 65+ · female | 52.1% |
| 35-44 · female | 0.8% |
| 45-54 · female | 2.6% |
| 35-44 · male | 0.5% |
| 25-34 · female | 0.6% |
| 25-34 · male | 0.5% |
| 55-64 · unknown | 0.4% |
| 65+ · unknown | 0.9% |
