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Alan Grayson US Inactive

COMMITTEE TO ELECT ALAN GRAYSON

ad creative

Join the blue wave >>

Ad copy

Florida is not a “red state”—we just aren’t registering Democratic voters. Thanks to the disappearance of Team Blue’s voter registration efforts during COVID, there are now fewer Florida Democrats than there were in 2008, even though 3,250,000 more people live here now. But in just one year, 2008, Florida registered 662,268 Democrats to vote, thanks to President Obama. Here's what I think: Florida can register 1,000,000 more Democrats this year, and become blue again. WITH YOUR HELP. We have to hire canvassers to go door to door to register voters. And we have to pay those canvassers. Will you join in that effort? As President Obama would say, are you in?

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

Performance proxies

Overall score39.4/100
Spend / Reach / Long. / Eff.34.7 · 61.7 · 6.1 · 54.9
Spend rangeUSD 1,000–1,499
Impressions20,000 – 24,999
CPM (≈ $/1k impr)USD 55.53
Est. audience size100,001 – 500,000
Days live23 (2024-02-11 → 2024-03-05)
Created2024-02-11
Creative variants1 body · 1 headline
Platformsfacebook, instagram
Languagesen
CandidateFL — Alan Grayson
Surfaced by“senate:Alan Grayson”

🧠 AI analysis

Issuedemocracy elections
Framingissue advocacy
Message typefundraising
Emotional appealurgency
Production tiersemi pro
Who picturednone
Symbolsnone
Call to actiondonate
Standout elementFlorida coastal skyline with an ominous red-tinted ocean/sky juxtaposed against 'make Florida blue again' headline — red water as political metaphor
TacticThe ad uses a vivid visual metaphor of a red-stained Florida horizon to create urgency around voter registration decline, then pivots to a donate CTA framed as the solution to flipping the state blue.

Where it ran (delivery by region)

California19.8%
New York8.9%
Florida7.2%
Texas6.2%
Washington4.7%
Pennsylvania4.4%
Virginia4.0%

Who saw it (delivery)

25-34 · female 0.4%
35-44 · female 1.0%
65+ · unknown 0.9%
25-34 · male 0.7%
45-54 · female 4.1%
55-64 · unknown 0.5%
55-64 · male 14.4%
65+ · female 27.7%
35-44 · male 3.2%
18-24 · female 0.1%
65+ · male 29.1%
55-64 · female 11.1%
45-54 · male 6.6%
35-44 · unknown 0.1%
45-54 · unknown 0.2%
18-24 · male 0.0%
25-34 · unknown 0.0%

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