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Janet Mills US Inactive

Mills for Maine

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.

Help us fight back | Donate today

Another four years of Paul LePage will be disastrous for Maine. We can’t let him move us backwards. Make a donation today to join Team Mills.

Ad copy

Unlike former Governor Paul LePage, whose eight disastrous years in office moved Maine backwards, Janet Mills has been able to get Maine back on the right track. She’s expanded healthcare to thousands of people, increased funding to public schools, and has signed legislation to protect our lands and water. If Paul LePage is re-elected, all of this progress will go down the drain. We can’t go backwards. Make a $5 donation right now so we can fight back.

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

Performance proxies

Overall score48.2/100
Spend / Reach / Long. / Eff.21.0 · 61.7 · 45.7 · 64.4
Spend rangeUSD 300–399
Impressions20,000 – 24,999
CPM (≈ $/1k impr)USD 15.53
Est. audience size
Days live167 (2022-01-19 → 2022-07-05)
Created2022-01-19
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateME — Janet Mills
Surfaced by“senate:Janet Mills”

🧠 AI analysis

Issuehealthcare
Framingcontrast comparison
Message typefundraising
Emotional appealfear
Production tierunknown
Who picturednone
Symbolsnone
Call to actiondonate
Standout elementFacebook content removal notice obscures the actual ad creative entirely
TacticThe copy uses a sharp contrast frame — crediting Mills with healthcare expansion and environmental protection while warning that LePage's return would erase all progress — to drive urgency-based small-dollar donations.

Where it ran (delivery by region)

California9.1%
Florida7.0%
New York5.6%
Massachusetts4.9%
Pennsylvania4.8%
Washington4.5%
Michigan4.4%

Who saw it (delivery)

35-44 · unknown 0.0%
45-54 · male 1.6%
45-54 · unknown 0.1%
35-44 · male 0.9%
65+ · unknown 0.9%
25-34 · female 0.5%
55-64 · female 8.2%
35-44 · female 0.8%
65+ · female 46.0%
18-24 · female 0.1%
65+ · male 32.2%
55-64 · male 6.7%
45-54 · female 1.3%
25-34 · unknown 0.1%
18-24 · male 0.1%
55-64 · unknown 0.2%
25-34 · male 0.4%

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