Bill Cassidy US Inactive
Bill Cassidy for U.S. Senate
Flag - Nike Debate
Ad copy
Betsy Ross was a leader who put herself into a history dominated by men, to make a statement of FREEDOM - and that should not be twisted by Nike or anyone else. Let’s send a statement to Nike - Post a picture below of a flag near you to show that we honor the accuracy of history and won’t be intimidated by identity politics. I'll be posting pictures of flags I see all weekend, and I hope you'll join me!
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.0/100 |
| Spend / Reach / Long. / Eff. | 31.7 · 83.1 · 0.3 · 72.8 |
| Spend range | USD 900–999 |
| Impressions | 175,000 – 199,999 |
| CPM (≈ $/1k impr) | USD 5.06 |
| Est. audience size | — |
| Days live | 2 (2019-07-02 → 2019-07-04) |
| Created | 2019-07-02 |
| Creative variants | 1 body · 1 headline |
| Platforms | — |
| Languages | en |
| Candidate | LA — Bill Cassidy |
| Surfaced by | “senate:Bill Cassidy” |
🧠 AI analysis
| Issue | other |
| Framing | issue advocacy |
| Message type | awareness |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | candidate, medical |
| Symbols | us flag |
| Call to action | none |
| Standout element | Candidate in surgical scrubs filming a casual selfie-style video, lending an everyman authenticity |
| Tactic | The ad uses a grassroots engagement tactic — rallying supporters to post flag photos — to signal cultural authenticity and opposition to corporate wokeness while building community around the candidate. |
Where it ran (delivery by region)
| Texas | 6.5% |
| Ohio | 5.8% |
| Florida | 5.4% |
| North Carolina | 4.6% |
| Georgia | 4.3% |
| Tennessee | 4.2% |
| Indiana | 4.0% |
Who saw it (delivery)
| 55-64 · female | 12.4% |
| 18-24 · male | 0.6% |
| 45-54 · unknown | 0.1% |
| 18-24 · female | 0.2% |
| 25-34 · unknown | 0.0% |
| 55-64 · unknown | 0.2% |
| 35-44 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
| 25-34 · female | 0.2% |
| 65+ · female | 22.1% |
| 35-44 · female | 0.8% |
| 35-44 · male | 7.1% |
| 25-34 · male | 2.6% |
| 45-54 · female | 3.6% |
| 65+ · male | 14.6% |
| 45-54 · male | 14.5% |
| 55-64 · male | 20.7% |
| 18-24 · unknown | 0.0% |
