Chris Pappas for Congress US Inactive
CHRIS PAPPAS FOR CONGRESS
Social Security recipients say they're still waiting for stimulus checks
One Social Security recipient who has been waiting for weeks said he's disheartened: "It's not a good system."
Ad copy
Many Social Security recipients have yet to receive their stimulus checks. Seniors have bills to pay, and they need their stimulus checks as soon as possible. I joined the other members of the New Hampshire delegation urging the IRS and Treasury to send this much-needed relief without delay. https://cbsn.ws/2ZsfIdC
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 52.9/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 97.1 · 1.9 · 88.7 |
| Spend range | USD 400–499 |
| Impressions | 700,000 – 799,999 |
| CPM (≈ $/1k impr) | USD 0.6 |
| Est. audience size | — |
| Days live | 8 (2020-06-01 → 2020-06-09) |
| Created | 2020-06-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | NH — Chris Pappas |
| Surfaced by | “senate:Chris Pappas” |
🧠 AI analysis
| Issue | social security medicare |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, seniors |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content-removed notice obscuring the actual ad creative |
| Tactic | The ad leverages constituent empathy and candidate advocacy credibility by positioning Pappas as a champion for seniors awaiting stimulus checks, though the ad was removed for disclaimer non-compliance, undermining its reach. |
Where it ran (delivery by region)
| Texas | 9.3% |
| California | 8.6% |
| New York | 5.8% |
| Illinois | 4.8% |
| Florida | 4.1% |
| North Carolina | 4.0% |
| Alabama | 3.8% |
Who saw it (delivery)
| 55-64 · unknown | 0.0% |
| 35-44 · female | 3.7% |
| 65+ · unknown | 0.0% |
| 35-44 · unknown | 0.1% |
| 18-24 · unknown | 0.1% |
| 25-34 · unknown | 0.1% |
| 45-54 · female | 2.7% |
| 65+ · male | 3.2% |
| 55-64 · male | 6.0% |
| 25-34 · male | 27.3% |
| 55-64 · female | 3.3% |
| 65+ · female | 2.0% |
| 18-24 · female | 5.8% |
| 25-34 · female | 6.5% |
| 45-54 · male | 9.2% |
| 35-44 · male | 13.2% |
| 18-24 · male | 16.7% |
| 45-54 · unknown | 0.0% |
