Marcus C Williams 4 Rochester US Inactive
Marcus C Williams Campaign
Marcus4Rochester (Marcus C Williams) | Rochester City Council
Marcus C. Williams, Rochester City Council, Rochester advocate, improving, public safety, fighting, education, housing, jobs, environmental conservation, vote 2025, Rochester City Council candidate, local change, Rochester politics, Marcus4Rochester.com
Ad copy
🗳️Vote Marcus C Williams 🗳️ Vote November 4th, or Early Voting Oct 25th -Nov 2 Rochester City Council You Matter To Me ‼️ You can vote for me no matter what your party is, I'll be on the conservative line. #TeamMarcus #Marcus4Council #RochesterNY #Rochester
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 23.3/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 0.0 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 1 (2025-10-09 → 2025-10-10) |
| Created | 2025-10-09 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NC — Marcus Williams |
| Surfaced by | “senate:Marcus Williams” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | gotv mobilization |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | vote |
| Standout element | Red arrows pointing directly to candidate's name on an actual sample ballot image, visually guiding voters exactly where to mark their vote |
| Tactic | The ad uses a real ballot screenshot with bold red arrows as a voter education tactic, reducing friction at the polls while reinforcing cross-party appeal with the message that any voter can support him on the Conservative line. |
Where it ran (delivery by region)
| New York | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.1% |
| 18-24 · male | 0.2% |
| 25-34 · female | 1.3% |
| 25-34 · male | 3.2% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 3.6% |
| 35-44 · male | 7.3% |
| 45-54 · female | 7.6% |
| 45-54 · male | 11.0% |
| 45-54 · unknown | 0.2% |
| 55-64 · female | 11.6% |
| 55-64 · male | 16.2% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 16.9% |
| 65+ · male | 20.7% |
