Colin Allred US Inactive
COLIN ALLRED FOR SENATE
MIDNIGHT DEADLINE: Help us fire Ted Cruz!
Colin Allred is the Democrat who can beat Ted Cruz. Chip in now.
Ad copy
Did you know that if Democrats beat Ted Cruz in Texas, we’re virtually guaranteed to defend the Senate? With everything from reproductive freedom to voting rights on the line, protecting our Senate majority is mission critical – and polls show Democrat Colin Allred neck and neck with Ted Cruz. Experts agree that we can win, but Cruz has already raised over $40 MILLION, and Colin is counting on grassroots supporters like you to help him compete. Will you chip in now to help him take the lead?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 53.0/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 81.7 · 21.2 · 58.6 |
| Spend range | USD 5,000–5,999 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 33.84 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 78 (2024-03-05 → 2024-05-22) |
| Created | 2024-03-04 |
| 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, opponent |
| Symbols | none |
| Call to action | donate |
| Standout element | Side-by-side poll graphic with Cruz on red and Allred on blue, citing CNN as source to legitimize the competitive race narrative |
| Tactic | Leverages a CNN poll citation and a midnight deadline urgency trigger to convert competitive-race anxiety into immediate donations, making the ask feel both credible and time-sensitive. |
Where it ran (delivery by region)
| Texas | 100.0% |
| Unknown | 0.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.2% |
| 25-34 · unknown | 0.0% |
| 35-44 · unknown | 0.1% |
| 55-64 · unknown | 0.3% |
| 25-34 · male | 0.8% |
| 35-44 · female | 7.2% |
| 25-34 · female | 1.4% |
| 65+ · unknown | 0.5% |
| 65+ · female | 27.8% |
| 55-64 · male | 9.2% |
| 45-54 · female | 10.8% |
| 65+ · male | 14.7% |
| 55-64 · female | 16.4% |
| 45-54 · male | 6.7% |
| 35-44 · male | 4.0% |
