Marcus C Williams 4 Rochester US Inactive
Marcus C Williams Campaign
Ad copy
🗳️ HAVE HOPE GO VOTE 🗳️ 🗳️VOTE MARCUS C WILLIAMS 🗳️ I just cast my early vote🗳️— Rochester, get yours in early voting until Nov 2, or Election Day Nov 4. 'Have Hope, Go Vote!' As Marcus C. Williams for City Council, I'm fighting for safer streets, better schools, good jobs, and affordable homes—because YOU matter to me. Vote me no matter your party; let's build a stronger city together.Who's squeezing in before 5? Tag a neighbor or family member—more chances tomorrow! #TeamMarcus #RochesterNY #HaveHopeGoVote #EarlyVoting
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 25.6/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 0.3 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 2 (2025-10-29 → 2025-10-31) |
| Created | 2025-10-29 |
| 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 | gotv mobilization |
| Emotional appeal | hope |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | vote |
| Standout element | Selfie-style close-up video frame of the candidate who appears to have just voted, creating an authentic peer-to-peer moment |
| Tactic | Leverages authentic selfie intimacy and social proof ('I just cast my early vote') combined with a peer-tagging CTA to drive viral GOTV mobilization through personal networks. |
Where it ran (delivery by region)
| New York | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.3% |
| 45-54 · male | 10.7% |
| 65+ · male | 8.3% |
| 65+ · female | 13.9% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 9.5% |
| 55-64 · female | 11.9% |
| 45-54 · unknown | 0.4% |
| 45-54 · female | 9.8% |
| 18-24 · male | 1.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 11.9% |
| 35-44 · female | 8.3% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 9.2% |
| 25-34 · female | 4.0% |
| 65+ · unknown | 0.3% |
