Cindy Hyde-Smith US Inactive
Cindy Hyde Smith for US Senate
Support Cindy Hyde-Smith
Ad copy
You have a choice this election, so I encourage you to dig into both of our records. Here are the results I've produced: Tax cuts, help for rural hospitals, and support for our military and law enforcement - and I'm just getting started.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 47.6/100 |
| Spend / Reach / Long. / Eff. | 43.1 · 81.7 · 1.7 · 63.7 |
| Spend range | USD 2,500–2,999 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 16.92 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 7 (2020-10-14 → 2020-10-21) |
| Created | 2020-10-14 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS — Cindy Hyde-Smith |
| Surfaced by | “senate:Cindy Hyde-Smith” |
🧠 AI analysis
| Issue | healthcare |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | capitol statue, healthcare, farm rural |
| Call to action | learn more |
| Standout element | Bold white text overlay on red-tinted government building juxtaposed with candidate headshot |
| Tactic | The ad uses a record-based credibility appeal, inviting voters to compare records while touting rural hospital support, tax cuts, and law enforcement backing — a classic contrast setup that positions the candidate as a proven producer without directly attacking the opponent. |
Where it ran (delivery by region)
| Mississippi | 96.6% |
| Tennessee | 0.8% |
| Louisiana | 0.5% |
| Alabama | 0.4% |
| Texas | 0.4% |
| Florida | 0.1% |
| California | 0.1% |
Who saw it (delivery)
| 65+ · unknown | 0.1% |
| 45-54 · male | 10.4% |
| 25-34 · unknown | 0.0% |
| 55-64 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 55-64 · male | 13.1% |
| 35-44 · male | 7.7% |
| 45-54 · female | 8.3% |
| 65+ · male | 12.8% |
| 35-44 · unknown | 0.1% |
| 25-34 · female | 3.5% |
| 55-64 · female | 13.5% |
| 18-24 · male | 1.2% |
| 65+ · female | 17.7% |
| 35-44 · female | 5.8% |
| 25-34 · male | 4.7% |
| 18-24 · female | 1.0% |
| 18-24 · unknown | 0.0% |
