Marquita Bradshaw US Inactive
MARQUITA BRADSHAW FOR U S SENATE
Ad copy
We can’t make history without your help. Join #TeamBradshaw today – https://bit.ly/MBforUS. When we win this election, we will have elected the first West Tennessean, African American woman to the Senate. I got in this race because I have seen firsthand what happens when voices get silenced and leadership stops working for the people. As your senator, I will always put hardworking people first. Vote for change. #Bradshaw2020
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 29.4/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 47.5 · 1.7 · 68.5 |
| Spend range | <USD 99 |
| Impressions | 5,000 – 5,999 |
| CPM (≈ $/1k impr) | USD 9.0 |
| Est. audience size | — |
| Days live | 7 (2020-05-18 → 2020-05-25) |
| Created | 2020-05-18 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TN — Marquita Bradshaw |
| Surfaced by | “senate:Marquita Bradshaw” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | donate |
| Standout element | Bold red megaphone graphic paired with numbered action steps (Donate, Share, Volunteer) reinforcing a grassroots call-to-action |
| Tactic | The ad combines historic milestone framing (first African American woman senator from West Tennessee) with a direct multi-step mobilization ladder to convert supporters into donors, sharers, and volunteers simultaneously. |
Where it ran (delivery by region)
| Tennessee | 100.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 65+ · male | 20.6% |
| 18-24 · unknown | 0.1% |
| 18-24 · male | 2.6% |
| 25-34 · male | 4.9% |
| 25-34 · female | 2.9% |
| 55-64 · female | 11.0% |
| 55-64 · male | 12.2% |
| 45-54 · female | 4.8% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 23.5% |
| 45-54 · male | 6.4% |
| 18-24 · female | 3.9% |
| 35-44 · male | 3.2% |
| 35-44 · female | 3.1% |
| 65+ · unknown | 0.4% |
| 25-34 · unknown | 0.1% |
| 35-44 · unknown | 0.0% |
