John Cornyn US Inactive
TEXANS FOR SENATOR JOHN CORNYN INC.
Help Keep Texas Red!
Chip in Now >>>
Ad copy
Chuck Schumer and the Democrats are doing everything within their power to strip Texas of what makes Texas...Texas. Will you chip in $20 now to help us fight for Senator Cornyn and to help Keep Texas Red?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 49.1/100 |
| Spend / Reach / Long. / Eff. | 47.8 · 83.1 · 3.9 · 61.6 |
| Spend range | USD 4,000–4,499 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 22.66 |
| Est. audience size | — |
| Days live | 15 (2020-07-20 → 2020-08-04) |
| Created | 2020-07-20 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — John Cornyn |
| Surfaced by | “senate:John Cornyn” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Nikki Haley speaking directly to camera with US flag painting prominently displayed behind her, lending cross-Republican-star-power credibility to the fundraising ask |
| Tactic | The ad leverages a high-profile Republican surrogate (Nikki Haley) and Texas identity threat framing ('strip Texas of what makes Texas...Texas') to trigger fear of Democratic encroachment and drive urgent small-dollar donations. |
Where it ran (delivery by region)
| Florida | 9.8% |
| New York | 4.8% |
| Arizona | 4.2% |
| Georgia | 4.0% |
| North Carolina | 3.9% |
| Illinois | 3.8% |
| California | 3.7% |
Who saw it (delivery)
| 35-44 · unknown | 0.0% |
| 55-64 · male | 20.6% |
| 25-34 · unknown | 0.0% |
| 18-24 · female | 0.1% |
| 25-34 · female | 0.4% |
| 55-64 · unknown | 0.3% |
| 65+ · unknown | 0.5% |
| 25-34 · male | 0.9% |
| 35-44 · male | 2.0% |
| 45-54 · unknown | 0.1% |
| 65+ · female | 23.4% |
| 65+ · male | 29.1% |
| 45-54 · male | 7.6% |
| 55-64 · female | 11.1% |
| 18-24 · male | 0.3% |
| 45-54 · female | 3.0% |
| 35-44 · female | 0.6% |
| 18-24 · unknown | 0.0% |
