Marcus C Williams 4 Rochester US Inactive
Marcus C Williams Campaign
Restore Rochester Donate
Restore Rochester Donate
Restore Rochester Donate
Restore Rochester Donate
Help Fight To Restore Affordability, Lower Crime And Save Our Children. Donate Today
Help Fight To Restore Affordability, Lower Crime And Save Our Children. Donate Today
Help Fight To Restore Affordability, Lower Crime And Save Our Children. Donate Today
Help Fight To Restore Affordability, Lower Crime And Save Our Children. Donate Today
Ad copy
Help Save Our Community. Donate
Help Save Our Community. Donate
Help Save Our Community. Donate
Help Save Our Community. Donate
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 31.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 53.0 · 1.7 · 72.5 |
| Spend range | <USD 99 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 5.21 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 7 (2024-09-19 → 2024-09-26) |
| Created | 2024-09-19 |
| Creative variants | 4 body · 4 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NC — Marcus Williams |
| Surfaced by | “senate:Marcus Williams” |
🧠 AI analysis
| Issue | crime safety |
| Framing | issue advocacy |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate standing under a bold black-and-gold umbrella outdoors with layered news-headline text overlays creating an urgent, media-saturated effect |
| Tactic | The ad stacks multiple fear-triggering Gallup poll stats and news headlines over a video frame of the candidate on location, using community vulnerability and a direct donate CTA to convert safety anxiety into fundraising action. |
Where it ran (delivery by region)
| New York | 100.0% |
Who saw it (delivery)
| 55-64 · unknown | 0.1% |
| 65+ · female | 14.0% |
| 55-64 · female | 12.3% |
| 55-64 · male | 11.0% |
| 35-44 · male | 17.8% |
| 65+ · male | 10.4% |
| 45-54 · female | 9.6% |
| 35-44 · female | 11.9% |
| 45-54 · male | 12.5% |
| 65+ · unknown | 0.1% |
| 45-54 · unknown | 0.2% |
| 35-44 · unknown | 0.2% |
