Marcus C Williams 4 Rochester US Inactive
Marcus C Williams Campaign
Ad copy
📣 I need your help please donate and share, encourage others to donate.📣 Let's Put Community First in Rochester.🗳️ 🌟(You can donate even if you're not local) ✅ DONATE ONLINE OR BY CHECK ✅ marcus4rochester.com/donate Checks Payable To: Marcus 4 Rochester Send Checks: 144 Metro Park Suite 3, Rochester, NY 14623 🗳️Vote November 4th Marcus C Williams Rochester City Council You can vote for me no matter what your party is. You matter to me ‼️ #TeamMarcus #VoteMarcus #Marcus4Council #RochesterNY #Rochester
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 26.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 1.9 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 8 (2025-09-19 → 2025-09-27) |
| Created | 2025-09-17 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | NC — Marcus Williams |
| Surfaced by | “senate:Marcus Williams” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Selfie-style direct-to-camera video framing outside a brick building creates an unpolished, authentic grassroots appeal |
| Tactic | The ad leverages personal, direct-to-camera intimacy and repeated urgency cues (emojis, all-caps) to drive small-dollar donations through an emotional community-first appeal. |
Where it ran (delivery by region)
| New York | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.7% |
| 45-54 · female | 9.3% |
| 65+ · female | 10.0% |
| 55-64 · unknown | 0.0% |
| 55-64 · male | 8.8% |
| 55-64 · female | 9.8% |
| 45-54 · unknown | 0.2% |
| 45-54 · male | 11.6% |
| 35-44 · unknown | 0.2% |
| 18-24 · male | 2.0% |
| 35-44 · male | 14.8% |
| 35-44 · female | 11.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 10.1% |
| 25-34 · female | 5.7% |
| 18-24 · unknown | 0.0% |
| 65+ · male | 5.4% |
