Jeanne Shaheen US Inactive
SHAHEEN FOR SENATE
SBA approves more than $70M in new relief funding for struggling NH small businesses, Shaheen says
The U.S. Small Business Administration has approved more than $70 million in emergency loans and grants for more than 5,500 New Hampshire small businesses struggling as a result of the coronavirus outbreak, Sen. Jeanne Shaheen said Tuesday.
Ad copy
"'We need to make sure that help is quickly getting to small businesses that are truly hurting, as the law intended, and is not being funneled to corporations that don’t need it or favored for larger businesses that have relationships with big banks.' Earlier Tuesday, Shaheen called for virtual oversight hearings on the implementation of small business relief programs in the CARES Act, saying that small lenders and small businesses are being 'crowded out' of access to funding."
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Performance proxies
| Overall score | 42.3/100 |
| Spend / Reach / Long. / Eff. | 27.6 · 70.7 · 4.4 · 66.4 |
| Spend range | USD 600–699 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 11.81 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 17 (2020-05-01 → 2020-05-18) |
| Created | 2020-04-30 |
| 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 | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | money cash |
| Call to action | none |
| Standout element | close-up microscope image of coronavirus particle under bold 'CORONAVIRUS IMPACT' text with red highlight bar |
| Tactic | The ad borrows credibility from a local TV news outlet (WMUR) to position Shaheen as a vigilant champion of small businesses over corporations and big banks, leveraging pandemic anxiety to reinforce her oversight role. |
Where it ran (delivery by region)
| New Hampshire | 100.0% |
Who saw it (delivery)
| 45-54 · male | 11.7% |
| 65+ · female | 3.5% |
| 18-24 · unknown | 0.1% |
| 35-44 · unknown | 0.2% |
| 55-64 · unknown | 0.3% |
| 45-54 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
| 18-24 · male | 2.6% |
| 25-34 · female | 8.3% |
| 45-54 · female | 17.3% |
| 65+ · male | 4.5% |
| 18-24 · female | 2.4% |
| 25-34 · male | 7.7% |
| 55-64 · male | 10.2% |
| 55-64 · female | 7.2% |
| 35-44 · male | 10.0% |
| 35-44 · female | 13.4% |
| 65+ · unknown | 0.1% |
