📌 The Swipe File

Andrew Scott Smith for Congress US Inactive

ANDREW SCOTT SMITH FOR CONGRESS

Ad copy

I guess you can take the girl outta Chicago, but you can't take the Chicago outta the girl... Maybe if Scott Colom gets removed from the race, she can pick up and run on the 𝗗𝗲𝗺𝗼𝗰𝗿𝗮𝘁 ticket, where she apparently belongs. I'd also advise you to look into her development project and the tax dollar/TIF Scandal surrounding that... I have the receipts, but they're pretty easy to find for anyone looking. Mississippi doesn't need another 𝗹𝗶𝗳𝗲𝗹𝗼𝗻𝗴 𝗗𝗲𝗺𝗼𝗰𝗿𝗮𝘁 who "swaps" to the Republican ticket 𝗷𝘂𝘀𝘁 𝘁𝗼 𝗴𝗲𝘁 𝗲𝗹𝗲𝗰𝘁𝗲𝗱, or some "𝗥𝗜𝗡𝗢". Mississippi needs a 𝗧𝗥𝗨𝗘 𝗰𝗼𝗻𝘀𝗲𝗿𝘃𝗮𝘁𝗶𝘃𝗲. She plans on announcing her candidacy this upcoming week, and with a track record like hers, all I can say is, 𝗴𝗼𝗼𝗱 𝗹𝘂𝗰𝗸! 𝗜'𝗺 𝘁𝗵𝗲 𝗼𝗻𝗹𝘆 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗰𝗼𝗻𝘀𝗲𝗿𝘃𝗮𝘁𝗶𝘃𝗲 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝘁𝗼 𝗯𝗲 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗨.𝗦. 𝗦𝗲𝗻𝗮𝘁𝗼𝗿 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗴𝗿𝗲𝗮𝘁 𝗦𝘁𝗮𝘁𝗲 𝗼𝗳 𝗠𝗶𝘀𝘀𝗶𝘀𝘀𝗶𝗽𝗽𝗶. andrewscottsmith.com

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

Performance proxies

Overall score	23.5/100
Spend / Reach / Long. / Eff.	0.0 · 34.4 · 0.8 · 58.7
Spend range	<USD 99
Impressions	1,000 – 1,999
CPM (≈ $/1k impr)	USD 33.01
Est. audience size	100,001 – 500,000
Days live	4 (2025-09-06 → 2025-09-10)
Created	2025-09-06
Creative variants	1 body · 0 headline
Platforms	facebook, instagram
Languages	en
Candidate	MS — Andrew Smith
Surfaced by	“senate:Andrew Smith”

🧠 AI analysis

Issue	democracy elections
Framing	attack opponent
Message type	persuasion
Emotional appeal	anger
Production tier	diy amateur
Who pictured	opponent
Symbols	none
Call to action	none
Standout element	Embedded NPR screenshot of Kamala Harris used to imply opponent's Democrat sympathies
Tactic	The ad uses guilt-by-association and the 'RINO' attack to paint a primary opponent as a fake conservative, leveraging a Kamala Harris news post shared by a supporter to insinuate Democratic leanings.

Where it ran (delivery by region)

Mississippi	98.2%
Alabama	1.8%

Who saw it (delivery)

18-24 · female	1.6%
45-54 · female	4.8%
65+ · male	14.6%
65+ · female	8.4%
55-64 · unknown	0.3%
55-64 · male	19.1%
55-64 · female	9.8%
45-54 · male	16.6%
35-44 · unknown	0.1%
18-24 · male	1.6%
35-44 · male	11.0%
35-44 · female	2.5%
25-34 · unknown	0.2%
25-34 · male	6.4%
25-34 · female	2.4%
18-24 · unknown	0.3%
65+ · unknown	0.3%