Councilman Hassan M. Ahmad US Inactive
COMMITTEE TO ELECT HASSAN AHMAD FOR COUNCIL
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
Ad copy
🚨 Major Endorsement 🚨 I am honored to announce that our campaign has earned the endorsement of The City of Dearborn Heights Police & Fire Department Dispatch Union. ✔Looking forward to working & supporting the Dispatch Department which is an essential and crucial part of our city law enforcement/ Fire Department team.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 25.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 0.8 · 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 | 4 (2021-10-14 → 2021-10-18) |
| Created | 2021-10-14 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — Ahmad Hassan |
| Surfaced by | “senate:Ahmad Hassan” |
🧠 AI analysis
| Issue | crime safety |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | pride |
| Production tier | diy amateur |
| Who pictured | candidate, police |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content removal notice obscuring the actual endorsement ad |
| Tactic | The ad leverages a police and fire dispatch union endorsement to build credibility on public safety, though the message is undermined by Facebook's removal notice due to a disclaimer violation. |
Where it ran (delivery by region)
| Michigan | 100.0% |
Who saw it (delivery)
| 65+ · unknown | 0.3% |
| 45-54 · female | 8.2% |
| 45-54 · unknown | 0.6% |
| 35-44 · male | 12.2% |
| 65+ · male | 8.2% |
| 25-34 · male | 10.3% |
| 55-64 · female | 8.8% |
| 55-64 · male | 11.1% |
| 45-54 · male | 13.0% |
| 55-64 · unknown | 0.1% |
| 65+ · female | 7.5% |
| 25-34 · female | 5.2% |
| 18-24 · male | 3.5% |
| 35-44 · female | 7.2% |
| 18-24 · female | 3.3% |
| 18-24 · unknown | 0.3% |
| 25-34 · unknown | 0.2% |
| 35-44 · unknown | 0.1% |
