Colin Allred US Inactive
COLIN ALLRED FOR SENATE
Donate NOW to help defeat Ted Cruz >>
Be part of the movement to send Ted Cruz packing.
Ad copy
Did you know that Ted Cruz only won his last election by about 2% of the vote? He had to spend more than $45 MILLION to eke out that victory in 2018 – and now, two recent polls have shown him and Colin Allred TIED in Texas! Right-wing donors are pouring money into his campaign to try to save his seat, and we’re counting on grassroots support to keep up with their spending. Please, will you donate right now to help Colin Allred defeat Ted Cruz?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 53.5/100 |
| Spend / Reach / Long. / Eff. | 50.6 · 83.1 · 20.9 · 59.6 |
| Spend range | USD 5,000–5,999 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 29.33 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 77 (2024-06-25 → 2024-09-10) |
| Created | 2024-06-25 |
| 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 | money cash |
| Call to action | donate |
| Standout element | Split-screen with Cruz in desaturated black-and-white with downward arrow vs. Allred in warm color with upward arrow, both at 41% |
| Tactic | The poll-tie framing creates urgency by making the race feel winnable, while the stark visual contrast between a grim Cruz and smiling Allred primes donors to see their contribution as the decisive factor. |
Where it ran (delivery by region)
| Texas | 28.2% |
| California | 13.1% |
| New York | 5.6% |
| Florida | 4.8% |
| Washington | 3.1% |
| Illinois | 2.9% |
| Colorado | 2.3% |
Who saw it (delivery)
| 65+ · unknown | 0.6% |
| 55-64 · unknown | 0.3% |
| 35-44 · male | 5.7% |
| 25-34 · female | 2.1% |
| 45-54 · male | 7.0% |
| 55-64 · female | 13.1% |
| 65+ · male | 18.2% |
| 55-64 · male | 10.1% |
| 45-54 · female | 8.3% |
| 65+ · female | 26.1% |
| 35-44 · female | 6.4% |
| 25-34 · male | 1.8% |
| 35-44 · unknown | 0.2% |
| 25-34 · unknown | 0.1% |
| 45-54 · unknown | 0.2% |
