Lindsey Graham US Inactive
TEAM GRAHAM, INC.
Help me FIGHT BACK!
Will you chip in $20.20?
Ad copy
First, it was❗️Nancy Pelosi❗️then❗️Hillary Clinton❗️and now❗️Barack Obama❗️All lining up to endorse my opponent. We need your help now more than ever! Will you chip in $20.20 to fight back against Hollywood and the Liberal elite?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 59.3/100 |
| Spend / Reach / Long. / Eff. | 78.6 · 100.0 · 6.1 · 52.6 |
| Spend range | USD 70,000–79,999 |
| Impressions | 1,000,000 – 0 |
| CPM (≈ $/1k impr) | USD 75.0 |
| Est. audience size | — |
| Days live | 23 (2020-09-14 → 2020-10-07) |
| Created | 2020-09-10 |
| 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 | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Graham's stern direct-to-camera gaze with 'Help me if you can.' subtitle creating a personal urgent plea |
| Tactic | Classic enemy-list fundraising tactic that escalates urgency by name-dropping high-profile liberal figures to trigger fear and tribal loyalty, driving low-dollar donations. |
Where it ran (delivery by region)
| Texas | 11.4% |
| California | 10.5% |
| Florida | 10.0% |
| New York | 4.0% |
| Georgia | 3.4% |
| Ohio | 3.3% |
| North Carolina | 3.2% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 45-54 · male | 6.8% |
| 45-54 · unknown | 0.1% |
| 25-34 · male | 0.7% |
| 18-24 · male | 0.2% |
| 55-64 · male | 15.2% |
| 55-64 · female | 16.9% |
| 65+ · male | 22.5% |
| 65+ · female | 27.6% |
| 18-24 · female | 0.1% |
| 45-54 · female | 5.7% |
| 35-44 · female | 1.1% |
| 35-44 · male | 1.9% |
| 55-64 · unknown | 0.3% |
| 25-34 · unknown | 0.0% |
| 65+ · unknown | 0.4% |
| 25-34 · female | 0.4% |
| 35-44 · unknown | 0.0% |
