Marcus C Williams 4 Rochester US Inactive
Marcus C Williams Campaign
Petition Signing Drive with Marcus C Williams
Come sign my petition to help me get on an independent line for City council. ANYONE can sign no matter what your party as long as you live in the city as long as you're registered to vote even if you're not registered to a party.
Ad copy
You Matter! Together, we can save Rochester. Come sign my petition to help me get on an independent line for City Council. ANYONE can sign, no matter what your party. Only requirement: you live in the city & you're registered to vote.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 34.1/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 55.8 · 0.6 · 62.5 |
| Spend range | USD 200–299 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 19.96 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 3 (2025-05-16 → 2025-05-19) |
| Created | 2025-05-16 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | NC — Marcus Williams |
| Surfaced by | “senate:Marcus Williams” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | list building survey |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Bold yellow event banner with candidate photo giving thumbs up against a dark crowd background, emphasizing cross-party appeal |
| Tactic | The ad uses inclusive, empowering language ('ANYONE can sign, no matter what your party') to lower barriers to participation and drive physical attendance at a petition signing event, building the candidate's ballot access and supporter list simultaneously. |
Where it ran (delivery by region)
| New York | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.5% |
| 45-54 · male | 6.7% |
| 65+ · male | 8.7% |
| 65+ · female | 14.0% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 8.1% |
| 55-64 · female | 13.9% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 12.3% |
| 18-24 · male | 0.3% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 8.3% |
| 35-44 · female | 13.8% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 5.5% |
| 25-34 · female | 7.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.1% |
