Colin Allred US Inactive
COLIN ALLRED FOR SENATE
Congressman Colin Allred says he wants to make prescriptions more affordable and unite Texans in bid for Senate seat against Ted Cruz
VICTORIA, Texas - Congressman Colin Allred is slated to face off against Senator Ted Cruz in the election this November. Congressman Allred represents the 32nd District of Texas, which encompasses
Ad copy
Since my first day in Congress I have worked to make health care more affordable. I took on Big Pharma and won — voting to cap the cost of insulin at $35 a month and lower drug costs for seniors on Medicare. Ted Cruz voted no. I’ll be a Senator who does what’s best for Texas. https://www.crossroadstoday.com/news/congressman-colin-allred-says-he-wants-to-make-prescriptions-more-affordable-and-unite-texans-in/article_9de44d32-f473-11ee-944e-5f42131e5cb4.html
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Performance proxies
| Overall score | 56.1/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 94.0 · 16.0 · 76.2 |
| Spend range | USD 1,500–1,999 |
| Impressions | 500,000 – 599,999 |
| CPM (≈ $/1k impr) | USD 3.18 |
| Est. audience size | — |
| Days live | 59 (2024-07-25 → 2024-09-22) |
| Created | 2024-07-25 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | TX — Colin Allred |
| Surfaced by | “senate:Colin Allred” |
🧠 AI analysis
| Issue | healthcare |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, seniors |
| Symbols | healthcare |
| Call to action | none |
| Standout element | Local TV news lower-third chyron lending broadcast credibility to the candidate's healthcare record |
| Tactic | The ad uses a contrast tactic — crediting Allred with a concrete legislative win on insulin pricing while explicitly naming Cruz's 'no' vote, grounding the attack in a verifiable policy record rather than character attacks. |
Where it ran (delivery by region)
| Texas | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 65+ · unknown | 0.1% |
| 25-34 · female | 7.8% |
| 45-54 · unknown | 0.2% |
| 35-44 · unknown | 0.2% |
| 18-24 · unknown | 0.0% |
| 65+ · male | 6.9% |
| 65+ · female | 9.5% |
| 35-44 · male | 10.6% |
| 55-64 · male | 9.1% |
| 25-34 · unknown | 0.1% |
| 45-54 · male | 10.4% |
| 35-44 · female | 15.7% |
| 55-64 · female | 10.9% |
| 45-54 · female | 11.5% |
| 18-24 · female | 0.8% |
| 25-34 · male | 6.0% |
| 18-24 · male | 0.4% |
| 55-64 · unknown | 0.1% |
