Colin Allred US Inactive
COLIN ALLRED FOR SENATE
BEAT TED CRUZ | Chip in now.
Are you ready to BEAT TED CRUZ?
Chip in now to kick Ted Cruz out of the Senate.
Donate now to help Colin win in Texas and keep the Senate blue!
Ad copy
BREAKING: Texas is officially Democrats' BEST pickup opportunity, with polls showing Colin Allred and Ted Cruz statistically TIED. Colin's ready to be the leader Texans deserve in the Senate: Will you chip in now to help him send Ted Cruz packing and keep the Senate blue?
Right now, Texas’ Senate race couldn’t be closer. And we’re going to win. Colin Allred has what it takes to defeat Ted Cruz, but he needs help fighting back against the $28 MILLION in brand-new ads Cruz just launched. Will you chip in to defeat Ted Cruz?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 55.8/100 |
| Spend / Reach / Long. / Eff. | 67.8 · 95.7 · 2.8 · 56.9 |
| Spend range | USD 25,000–29,999 |
| Impressions | 600,000 – 699,999 |
| CPM (≈ $/1k impr) | USD 42.31 |
| Est. audience size | — |
| Days live | 11 (2024-10-26 → 2024-11-06) |
| Created | 2024-10-26 |
| Creative variants | 2 body · 2 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 bar chart showing Allred 45% vs Cruz 44% in bold blue and red |
| Tactic | Momentum-based urgency tactic using a poll result as proof of viability to trigger donor FOMO and spur immediate fundraising action. |
Where it ran (delivery by region)
| Texas | 16.6% |
| California | 14.8% |
| New York | 7.8% |
| Florida | 4.4% |
| Massachusetts | 3.5% |
| Illinois | 3.4% |
| Washington | 3.3% |
Who saw it (delivery)
| 18-24 · female | 0.2% |
| 45-54 · male | 6.2% |
| 65+ · male | 13.0% |
| 65+ · female | 27.6% |
| 55-64 · unknown | 0.3% |
| 55-64 · male | 8.3% |
| 55-64 · female | 16.7% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 11.0% |
| 18-24 · male | 0.1% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 4.6% |
| 35-44 · female | 7.3% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 1.5% |
| 25-34 · female | 2.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.6% |
