Jeanne Shaheen US Inactive
SHAHEEN FOR SENATE
Millions of dollars in aid to small businesses begin to flow
LACONIA — Millions of dollars in Small Business Administration financial support has begun to flow for Lakes Region businesses in a battle to survive the economic downturn caused by the
Ad copy
“Statewide, 4,400 businesses have been approved for forgivable loans through the Paycheck Protection Program established by the Coronavirus Aid, Relief and Economic Security Act, Sen. Jeanne Shaheen said Monday. The loans total more than $1 billion in assistance to New Hampshire businesses."
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Performance proxies
| Overall score | 44.5/100 |
| Spend / Reach / Long. / Eff. | 29.2 · 73.9 · 7.2 · 67.7 |
| Spend range | USD 700–799 |
| Impressions | 70,000 – 79,999 |
| CPM (≈ $/1k impr) | USD 9.99 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 27 (2020-04-21 → 2020-05-18) |
| Created | 2020-04-21 |
| 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 | awareness |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | money cash |
| Call to action | none |
| Standout element | The Laconia Daily Sun masthead lending third-party newspaper credibility to Shaheen's economic relief claims |
| Tactic | Borrowed credibility tactic — using a local newspaper quote to validate Shaheen's role in delivering $1 billion in PPP relief to NH businesses, positioning her as an effective legislative champion without direct self-promotion. |
Where it ran (delivery by region)
| New Hampshire | 100.0% |
Who saw it (delivery)
| 35-44 · female | 14.0% |
| 18-24 · female | 2.4% |
| 25-34 · unknown | 0.1% |
| 18-24 · unknown | 0.0% |
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
| 65+ · male | 4.1% |
| 65+ · female | 3.3% |
| 55-64 · unknown | 0.3% |
| 35-44 · male | 10.4% |
| 55-64 · female | 7.0% |
| 25-34 · female | 8.4% |
| 45-54 · male | 11.6% |
| 25-34 · male | 7.8% |
| 55-64 · male | 10.2% |
| 45-54 · female | 17.3% |
| 18-24 · male | 2.6% |
| 65+ · unknown | 0.1% |
