Mark Lynch US Inactive
LYNCH FOR SENATE
Lynch for Senate
Join me in supporting Lynch for Senate
Ad copy
Haven’t met Mark Lynch yet? Join us for a Meet & Greet January 22nd 6–7:30 PM Hampton Inn & Suites Greenville Airport 128 The Parkway, Greenville, SC 29615 Meet Mark Lynch, an America-First U.S. Senate candidate running to remove Lindsey Graham. Hear his vision for South Carolina Learn how to get involved at the grassroots level and help build a winning conservative movement. Limited seating — RSVP required Check comments Below!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 33.3/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 55.8 · 2.8 · 74.6 |
| Spend range | <USD 99 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 3.96 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 11 (2026-01-12 → 2026-01-23) |
| Created | 2026-01-12 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | SC — Mark Lynch |
| Surfaced by | “senate:Mark Lynch” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | gotv mobilization |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd |
| Symbols | us flag |
| Call to action | volunteer |
| Standout element | Three collaged candid photos of the candidate at campaign events set against a navy background with bold red and white typography |
| Tactic | The ad uses event scarcity ('Limited Seating RSVP Required') and personal meet-and-greet framing to convert passive supporters into active grassroots volunteers while positioning Lynch as a populist outsider challenging an incumbent senator. |
Where it ran (delivery by region)
| South Carolina | 98.6% |
| North Carolina | 1.4% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 45-54 · male | 5.4% |
| 65+ · male | 27.9% |
| 65+ · female | 31.8% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 12.8% |
| 55-64 · female | 9.8% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 3.6% |
| 18-24 · male | 0.5% |
| 35-44 · unknown | 0.0% |
| 35-44 · male | 2.8% |
| 35-44 · female | 2.0% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.6% |
| 25-34 · female | 0.9% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.4% |
