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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.

⏰ Countdown: Voter turnout needed in Minnesota...

We can take the Minnesota Senate majority, elect Joe Biden and Kamala Harris, and re-elect Senator Tina Smith and Congressman Dean Phillips — but I need your help to turn out voters across Minnesota. Can you chip in $10 before Friday?

Ad copy

⏰ We are just days away from the most crucial election of our time, and there is so much at stake. We can take the Minnesota Senate majority, elect Joe Biden and Kamala Harris, and re-elect Senator Tina Smith and Congressman Dean Phillips — but I need your help to turn out voters across Minnesota. Can you chip in $10 before Friday?

↗ View in Meta Ad Library (the live creative — image/video/layout)

Performance proxies

Overall score31.9/100
Spend / Reach / Long. / Eff.17.4 · 50.6 · 1.1 · 58.7
Spend rangeUSD 200–299
Impressions7,000 – 7,999
CPM (≈ $/1k impr)USD 33.27
Est. audience size1,001 – 5,000
Days live5 (2020-10-22 → 2020-10-27)
Created2020-10-22
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateMN — Melisa Lopez Franzen
Surfaced by“senate:Melisa Lopez Franzen”

🧠 AI analysis

Issuedemocracy elections
Framingpositive candidate
Message typefundraising
Emotional appealurgency
Production tierdiy amateur
Who picturednone
Symbolsnone
Call to actiondonate
Standout elementFacebook content removal notice replacing the actual ad creative, citing policy non-compliance on disclaimer
TacticA deadline-driven urgency fundraising ask tied to the presidential ticket coattail effect, rendered moot by the ad's removal for missing a required political disclaimer.

Where it ran (delivery by region)

Minnesota93.6%
California0.8%
Arizona0.6%
Florida0.5%
Massachusetts0.4%
Wisconsin0.4%
New York0.3%

Who saw it (delivery)

25-34 · unknown 0.1%
65+ · male 10.2%
35-44 · unknown 0.3%
55-64 · unknown 0.5%
65+ · unknown 0.5%
18-24 · female 1.2%
18-24 · male 1.1%
65+ · female 22.0%
25-34 · female 4.5%
18-24 · unknown 0.2%
55-64 · male 6.8%
45-54 · female 13.0%
25-34 · male 3.0%
35-44 · male 5.7%
45-54 · male 6.5%
35-44 · female 9.4%
55-64 · female 14.9%
45-54 · unknown 0.1%

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