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Hector Mujica US Inactive

Hector Mujica for Florida

ad creative

Donate to Hector Mujica for U.S. Senate

Together, we can flip Florida BLUE.

Ad copy

FLORIDA IS ON THE MAP IN 2026: Polling shows that when Hector Mujica goes up against DeSantis-appointed, unelected Senator Ashley Moody, they TIE. Considering Hector just launched his campaign, this is staggering news. The GOP is counting on all of us to think of Florida as a Republican stronghold, but we have a real shot at securing a Democratic Senate seat. This is shaping up to be one of the most impactful and most expensive races in 2026. They’ll pull out all the stops to prevent Hector from turning that tie into a win—but we have what it takes to make a difference. We have you. We’ll win this race if all of us work together. Will you send a parting message to the GOP by becoming a founding donor to our campaign today? Thank you.

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Performance proxies

Overall score24.4/100
Spend / Reach / Long. / Eff.11.9 · 34.4 · 0.8 · 50.5
Spend rangeUSD 100–199
Impressions1,000 – 1,999
CPM (≈ $/1k impr)USD 99.7
Est. audience size
Days live4 (2025-10-15 → 2025-10-19)
Created2025-10-14
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateFL — Hector Mujica
Surfaced by“senate:Hector Mujica”

🧠 AI analysis

Issuedemocracy elections
Framingcontrast comparison
Message typefundraising
Emotional appealurgency
Production tiersemi pro
Who picturedcandidate, opponent
Symbolsnone
Call to actiondonate
Standout elementCandidate shown in full color beside a desaturated grayscale opponent, visually elevating Mujica while neutralizing Moody
TacticUses a poll-based 'we can win' urgency tactic — leading with electability data to convert skeptical donors who want to back a competitive race rather than a longshot.

Where it ran (delivery by region)

Florida53.2%
California5.7%
New York5.3%
Texas2.6%
Ohio2.2%
Michigan2.1%
North Carolina1.9%

Who saw it (delivery)

18-24 · female 0.1%
18-24 · male 0.8%
18-24 · unknown 0.1%
25-34 · female 0.5%
25-34 · male 2.9%
35-44 · female 0.7%
35-44 · male 4.1%
45-54 · female 2.4%
45-54 · male 4.1%
45-54 · unknown 0.2%
55-64 · female 8.2%
55-64 · male 8.3%
55-64 · unknown 0.2%
65+ · female 35.9%
65+ · male 31.1%
65+ · unknown 0.5%

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