Marquita Bradshaw US Inactive
MARQUITA BRADSHAW FOR U S SENATE
U S Senate Tennessee | Marquita Bradshaw | United States
Marquita Bradshaw politcal candidate for U S Senate in Tennessee that can clean up the enviroment and politics. Willing to fight for hardworking communities to have healthy and safe communities where they live, learn, work, worship, and recreate.
Ad copy
I’m fighting for:⠀ ⠀ 📖 quality education for all⠀ 🌎 safe & clean communities⠀ 📊 an economy that works for the many, not just the few⠀ 🚔 reformed criminal justice⠀ ⚖️ sensible gun laws⠀ 🗽 and I’m fighting to defend our democracy⠀ ⠀ Join #TeamBradshaw today by following the link in our bio! #Bradshaw2020 #MBforUS #TNsen #BlackWomenLead #ElectWomen #2020Election
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 25.8/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 1.1 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| Est. audience size | — |
| Days live | 5 (2020-04-30 → 2020-05-05) |
| Created | 2020-04-30 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | TN — Marquita Bradshaw |
| Surfaced by | “senate:Marquita Bradshaw” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | learn more |
| Standout element | Bold red 'MEET MARQUITA' headline over a dark blue platform-list graphic paired with a candid speaking photo creates an introductory bio-style poster feel |
| Tactic | The ad functions as a multi-issue introduction card, using a list-of-platforms structure to signal broad progressive alignment and build name recognition for a first-time candidate. |
Where it ran (delivery by region)
| Tennessee | 100.0% |
Who saw it (delivery)
| 55-64 · female | 0.1% |
| 25-34 · female | 4.1% |
| 13-17 · male | 23.8% |
| 13-17 · female | 52.6% |
| 25-34 · male | 3.1% |
| 18-24 · male | 4.7% |
| 13-17 · unknown | 0.6% |
| 35-44 · male | 0.6% |
| 18-24 · female | 8.5% |
| 35-44 · female | 0.7% |
| 45-54 · female | 0.4% |
| 65+ · male | 0.2% |
| 45-54 · male | 0.1% |
| 65+ · female | 0.1% |
| 55-64 · male | 0.2% |
| 18-24 · unknown | 0.2% |
