Lindsey Graham US Inactive
TEAM GRAHAM, INC.
We did it!
Chip in $20.20!
Ad copy
We did it! Judge Amy Coney Barrett has been confirmed to the Supreme Court. I had her back, and now I need you to have mine. My opponent is attacking me and raising millions. I need your help to fight back. We're in a fight for the heart and soul of this country. Please donate $5, $10, or even $25 if you can!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 57.1/100 |
| Spend / Reach / Long. / Eff. | 63.0 · 100.0 · 1.9 · 63.5 |
| Spend range | USD 15,000–19,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 17.5 |
| Est. audience size | — |
| Days live | 8 (2020-10-26 → 2020-11-03) |
| Created | 2020-10-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SC — Lindsey Graham |
| Surfaced by | “senate:SC — Lindsey Graham” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Victory-framed subtitle invoking ACB confirmation as a rallying cry for donor urgency |
| Tactic | Classic win-to-give tactic: celebrates a high-profile legislative victory (ACB confirmation) to generate emotional momentum, then pivots immediately to an under-attack framing to trigger defensive donor response. |
Where it ran (delivery by region)
| Texas | 9.5% |
| Florida | 7.7% |
| California | 7.4% |
| Pennsylvania | 4.3% |
| Ohio | 3.9% |
| Georgia | 3.8% |
| New York | 3.7% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 55-64 · female | 18.2% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 11.8% |
| 18-24 · male | 1.2% |
| 65+ · female | 17.4% |
| 45-54 · female | 11.5% |
| 65+ · male | 10.2% |
| 25-34 · male | 4.3% |
| 25-34 · unknown | 0.1% |
| 45-54 · male | 9.5% |
| 35-44 · male | 6.6% |
| 35-44 · female | 5.4% |
| 25-34 · female | 2.3% |
| 18-24 · female | 0.5% |
| 65+ · unknown | 0.2% |
| 45-54 · unknown | 0.2% |
| 35-44 · unknown | 0.1% |
