Jeanne Shaheen US Inactive
SHAHEEN FOR SENATE
Jeanne Shaheen is making a difference for NH
Ad copy
Jeanne Shaheen is making a difference for New Hampshire. She helped lead a bipartisan team of Senators to help small businesses survive the COVID-19 crisis. Sen. Shaheen is committed to protecting New Hampshire’s small businesses while keeping us safe.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 44.4/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 73.9 · 1.9 · 56.7 |
| Spend range | USD 3,000–3,499 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 43.33 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 8 (2020-10-08 → 2020-10-16) |
| Created | 2020-10-07 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NH — Jeanne Shaheen |
| Surfaced by | “senate:Jeanne Shaheen” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | hope |
| Production tier | professional |
| Who pictured | candidate, seniors |
| Symbols | none |
| Call to action | learn more |
| Standout element | Candidate warmly conversing with a constituent in a cozy local café setting, projecting approachability and community connection |
| Tactic | The ad uses a personal, relatable one-on-one conversation scene to humanize the senator and reinforce her bipartisan small business advocacy during the COVID crisis, building trust through warmth and accessibility. |
Where it ran (delivery by region)
| New Hampshire | 100.0% |
| Rhode Island | 0.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 25-34 · female | 11.8% |
| 25-34 · unknown | 0.2% |
| 18-24 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
| 18-24 · female | 4.4% |
| 55-64 · male | 6.1% |
| 18-24 · male | 3.9% |
| 55-64 · female | 10.4% |
| 55-64 · unknown | 0.2% |
| 45-54 · male | 8.2% |
| 35-44 · female | 13.1% |
| 65+ · male | 3.6% |
| 25-34 · male | 10.2% |
| 45-54 · female | 12.6% |
| 35-44 · male | 9.3% |
| 65+ · female | 5.5% |
| 65+ · unknown | 0.1% |
