Colin Allred US Inactive
COLIN ALLRED FOR SENATE
MIDNIGHT DEADLINE: Endorse Colin Allred for Senate against Ted Cruz!
Colinβs counting on your endorsement by midnight.
Ad copy
π°π πππβππ ππππ π ππ ππππ π»ππ πͺπππ, ππππππ ππππ πππππππππ. Iβm Colin Allred, and polls currently show me and Cruz TIED in Texas. But I need 3,873 new endorsements by midnight to show the strength of our grassroots movement and help me pull ahead. Can I count on you to be one of them?
β View in Meta Ad Library (the live creative β image/video/layout)
Performance proxies
| Overall score | 53.0/100 |
| Spend / Reach / Long. / Eff. | 41.0 Β· 73.9 Β· 37.5 Β· 59.5 |
| Spend range | USD 2,000β2,499 |
| Impressions | 70,000 β 79,999 |
| CPM (β $/1k impr) | USD 29.99 |
| Est. audience size | β |
| Days live | 137 (2024-03-18 β 2024-08-02) |
| Created | 2024-03-14 |
| Creative variants | 1 body Β· 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX β Colin Allred |
| Surfaced by | βsenate:Colin Allredβ |
π§ AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | list building survey |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | sign petition |
| Standout element | Bold red 'ENDORSE COLIN' button combined with a specific countdown number (3,873) to manufacture scarcity and urgency |
| Tactic | The ad uses a fake-live urgency tactic with a precise endorsement count and midnight deadline to trigger FOMO-driven list sign-ups, framing a passive endorsement click as a pivotal grassroots act that can tip a tied race. |
Where it ran (delivery by region)
| California | 17.0% |
| Florida | 9.8% |
| Arizona | 5.2% |
| Colorado | 4.7% |
| Georgia | 3.9% |
| Oklahoma | 3.5% |
| Missouri | 3.4% |
Who saw it (delivery)
| 25-34 Β· unknown | 0.1% |
| 45-54 Β· unknown | 0.2% |
| 65+ Β· unknown | 0.6% |
| 45-54 Β· female | 7.4% |
| 25-34 Β· female | 1.2% |
| 55-64 Β· male | 7.2% |
| 45-54 Β· male | 3.4% |
| 65+ Β· female | 38.7% |
| 65+ Β· male | 15.7% |
| 55-64 Β· female | 16.4% |
| 25-34 Β· male | 1.2% |
| 35-44 Β· male | 2.8% |
| 35-44 Β· female | 4.6% |
| 55-64 Β· unknown | 0.3% |
| 35-44 Β· unknown | 0.2% |
