Colin Allred US Inactive
COLIN ALLRED FOR CONGRESS
Keep the House blue!
Keep the House blue!
Keep the House blue!
Ad copy
We need to keep the House blue to maintain the progress we’ve made with our Democratic majority. Chip in $30 to help protect Colin’s seat and protect the House.
We need to keep the House blue to maintain the progress we’ve made with our Democratic majority. Chip in $30 to help protect Colin’s seat and protect the House.
We need to keep the House blue to maintain the progress we’ve made with our Democratic majority. Chip in $30 to help protect Colin’s seat and protect the House.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 52.1/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 50.6 · 80.7 · 56.2 |
| Spend range | USD 300–399 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 46.6 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 294 (2022-01-12 → 2022-11-02) |
| Created | 2022-01-12 |
| Creative variants | 3 body · 3 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — Colin Allred |
| Surfaced by | “senate:Colin Allred” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Candidate speaking directly to camera in casual dress shirt with no tie — intimate, unpolished selfie-style video frame |
| Tactic | Uses direct-to-camera personal appeal combined with a concrete $30 ask and party-majority urgency framing to convert base supporters into small-dollar donors. |
Where it ran (delivery by region)
| Texas | 55.1% |
| California | 10.9% |
| New York | 4.0% |
| Massachusetts | 2.2% |
| Washington | 1.9% |
| Illinois | 1.8% |
| Maryland | 1.8% |
Who saw it (delivery)
| 18-24 · male | 0.1% |
| 35-44 · female | 5.7% |
| 45-54 · female | 8.5% |
| 65+ · unknown | 0.6% |
| 25-34 · male | 3.0% |
| 55-64 · female | 12.3% |
| 55-64 · male | 8.8% |
| 65+ · female | 31.2% |
| 35-44 · male | 4.7% |
| 45-54 · unknown | 0.1% |
| 65+ · male | 16.4% |
| 45-54 · male | 5.0% |
| 35-44 · unknown | 0.1% |
| 55-64 · unknown | 0.2% |
| 25-34 · unknown | 0.1% |
| 18-24 · female | 0.2% |
| 25-34 · female | 3.1% |
