Melisa López Franzen US Inactive
Melisa Franzen for Senate
⚠ 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.
[Donate] Re-Elect Melisa!
Ad copy
We are less than two weeks from Election Day. We need to make sure we elect proven leaders up and down the ballot in Minnesota, turnout in numbers, and Flip the Minnesota State Senate. I'd be honored to have your support with a donation of just $10, $15, $25, or whatever you can give right now.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 31.3/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 49.2 · 1.1 · 57.6 |
| Spend range | USD 200–299 |
| Impressions | 6,000 – 6,999 |
| CPM (≈ $/1k impr) | USD 38.39 |
| Est. audience size | 1,001 – 5,000 |
| Days live | 5 (2020-10-21 → 2020-10-26) |
| Created | 2020-10-21 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MN — Melisa Lopez Franzen |
| Surfaced by | “senate:Melisa Lopez Franzen” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Facebook policy removal notice replacing the actual ad creative |
| Tactic | The ad screenshot itself is a removal notice, revealing a disclaimer compliance failure, but the copy leverages GOTV urgency and a low-dollar fundraising ask tied to flipping the Minnesota State Senate. |
Where it ran (delivery by region)
| Minnesota | 90.3% |
| Florida | 1.1% |
| California | 1.1% |
| Illinois | 0.9% |
| Texas | 0.8% |
| New York | 0.8% |
| Wisconsin | 0.8% |
Who saw it (delivery)
| 35-44 · unknown | 0.6% |
| 25-34 · female | 10.0% |
| 45-54 · female | 9.2% |
| 65+ · female | 9.8% |
| 55-64 · female | 10.4% |
| 65+ · male | 6.0% |
| 35-44 · female | 14.6% |
| 45-54 · male | 9.2% |
| 18-24 · male | 2.1% |
| 25-34 · unknown | 0.1% |
| 25-34 · male | 9.4% |
| 35-44 · male | 10.1% |
| 18-24 · female | 3.1% |
| 18-24 · unknown | 0.1% |
| 45-54 · unknown | 0.3% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 4.8% |
