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 | 54.7/100 |
| Spend / Reach / Long. / Eff. | 59.4 Β· 88.7 Β· 13.2 Β· 57.6 |
| Spend range | USD 10,000β14,999 |
| Impressions | 300,000 β 349,999 |
| CPM (β $/1k impr) | USD 38.46 |
| Est. audience size | β |
| Days live | 49 (2024-07-23 β 2024-09-10) |
| Created | 2024-07-23 |
| 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)
| Texas | 72.3% |
| California | 4.5% |
| Florida | 1.7% |
| Colorado | 1.6% |
| New York | 1.5% |
| Washington | 1.1% |
| North Carolina | 1.0% |
Who saw it (delivery)
| 25-34 Β· unknown | 0.1% |
| 65+ Β· unknown | 0.4% |
| 45-54 Β· unknown | 0.2% |
| 35-44 Β· unknown | 0.2% |
| 25-34 Β· female | 4.3% |
| 35-44 Β· male | 5.6% |
| 35-44 Β· female | 12.1% |
| 45-54 Β· female | 12.1% |
| 65+ Β· male | 10.4% |
| 55-64 Β· unknown | 0.2% |
| 55-64 Β· male | 6.4% |
| 25-34 Β· male | 2.2% |
| 65+ Β· female | 25.8% |
| 55-64 Β· female | 14.6% |
| 45-54 Β· male | 5.5% |
| Unknown Β· unknown | 0.0% |
