📌 The Swipe File

Colin Allred US Inactive

COLIN ALLRED FOR SENATE

Help Colin FIRE Ted Cruz!

Colin’s counting on your support.

Ad copy

𝐓𝐋𝐃𝐑: 𝐈’𝐦 𝐭𝐢𝐞𝐝 𝐰𝐢𝐭𝐡 𝐓𝐞𝐝 𝐂𝐫𝐮𝐳 𝐢𝐧 𝐓𝐞𝐱𝐚𝐬, 𝐚𝐧𝐝 𝐈’𝐦 𝐚𝐬𝐤𝐢𝐧𝐠 𝐲𝐨𝐮 𝐭𝐨 𝐜𝐡𝐢𝐩 𝐢𝐧 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐦𝐞 𝐰𝐢𝐧. 𝐂𝐥𝐢𝐜𝐤 𝐛𝐞𝐥𝐨𝐰 𝐭𝐨 𝐝𝐨𝐧𝐚𝐭𝐞 ⬇️ Here’s the rest: Experts have named Ted Cruz the most vulnerable GOP Senator in the country. Texans are ready for change, and I’m ready to be the leader we deserve. We’ve spent the last year building a powerful grassroots coalition to take him down, and now, we’re closer than ever to getting it done. But Cruz and his cronies are making a last-ditch effort to try and buy this seat. A GOP super PAC just pledged $10 MILLION to keep him in power, and I’m counting on a powerful wave of grassroots support to help me fight back. 𝐖𝐞’𝐯𝐞 𝐜𝐨𝐦𝐞 𝐭𝐨𝐨 𝐟𝐚𝐫 𝐭𝐨 𝐟𝐚𝐥𝐥 𝐬𝐡𝐨𝐫𝐭 𝐧𝐨𝐰. 𝐏𝐥𝐞𝐚𝐬𝐞, 𝐰𝐢𝐥𝐥 𝐲𝐨𝐮 𝐜𝐡𝐢𝐩 𝐢𝐧 𝐛𝐞𝐟𝐨𝐫𝐞 𝐭𝐡𝐞 𝐦𝐢𝐝𝐧𝐢𝐠𝐡𝐭 𝐝𝐞𝐚𝐝𝐥𝐢𝐧𝐞 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐦𝐞 𝐟𝐢𝐫𝐞 𝐓𝐞𝐝 𝐂𝐫𝐮𝐳?

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

Performance proxies

Overall score	53.1/100
Spend / Reach / Long. / Eff.	59.4 · 91.4 · 2.2 · 59.6
Spend range	USD 10,000–14,999
Impressions	400,000 – 449,999
CPM (≈ $/1k impr)	USD 29.41
Est. audience size	—
Days live	9 (2024-09-09 → 2024-09-18)
Created	2024-09-09
Creative variants	1 body · 1 headline
Platforms	facebook, instagram
Languages	en
Candidate	TX — Colin Allred
Surfaced by	“senate:Colin Allred”

🧠 AI analysis

Issue	democracy elections
Framing	contrast comparison
Message type	fundraising
Emotional appeal	urgency
Production tier	semi pro
Who pictured	candidate
Symbols	none
Call to action	donate
Standout element	Poll tie graphic in bold red-white-blue typography anchoring the bottom half of the candidate photo
Tactic	Classic momentum fundraising tactic: the tied-poll statistic creates urgency and proof of viability, lowering donor hesitation by showing their contribution could be the deciding factor.

Where it ran (delivery by region)

Texas	24.8%
California	13.0%
New York	5.6%
Florida	5.1%
Washington	3.0%
Illinois	3.0%
Pennsylvania	2.5%

Who saw it (delivery)

25-34 · unknown	0.0%
35-44 · unknown	0.1%
65+ · female	31.5%
35-44 · male	3.9%
55-64 · male	9.3%
65+ · male	20.2%
45-54 · male	5.5%
55-64 · female	13.8%
45-54 · female	7.3%
35-44 · female	4.8%
25-34 · female	1.5%
45-54 · unknown	0.2%
55-64 · unknown	0.3%
65+ · unknown	0.6%
25-34 · male	1.1%