Marquita Bradshaw US Inactive
MARQUITA BRADSHAW FOR U S SENATE
Ad copy
Juli Mosley retired Environmental Engineer, and teacher believes we need an Environmentalist, Democrat Marquita Bradshaw, to be the next United States Senator. Please give $20 or what you can; it takes a lot of drops together to create a blue wave. bit.ly/MBforUS #LiberationTN #endracismnow✊🏾 It’s time to make #OurStory #blackwomenlead #HerStory #MB4US Like, share, & follow @Bradshaw2020Senate
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.5/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 53.0 · 0.8 · 64.3 |
| Spend range | USD 100–199 |
| Impressions | 9,000 – 9,999 |
| CPM (≈ $/1k impr) | USD 15.74 |
| Est. audience size | — |
| Days live | 4 (2020-07-09 → 2020-07-13) |
| Created | 2020-07-09 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TN — Marquita Bradshaw |
| Surfaced by | “senate:Marquita Bradshaw” |
🧠 AI analysis
| Issue | energy environment |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | hope |
| Production tier | diy amateur |
| Who pictured | candidate, diverse crowd |
| Symbols | us flag, none |
| Call to action | donate |
| Standout element | Grassroots collage of campaign logos, outdoor candid photos, and social media hashtags layered over red-white color blocks |
| Tactic | The ad uses a testimonial from a named constituent (Juli Mosley) paired with a small-dollar fundraising ask and wave metaphor to create social proof and urgency around a grassroots Democratic Senate campaign. |
Where it ran (delivery by region)
| Tennessee | 100.0% |
Who saw it (delivery)
| 35-44 · unknown | 0.1% |
| 25-34 · female | 6.1% |
| 55-64 · male | 10.8% |
| 25-34 · male | 12.0% |
| 45-54 · male | 12.6% |
| 35-44 · female | 6.3% |
| 65+ · male | 6.3% |
| 65+ · female | 6.5% |
| 45-54 · female | 7.1% |
| 25-34 · unknown | 0.0% |
| 55-64 · female | 9.9% |
| 35-44 · male | 11.6% |
| 18-24 · male | 5.8% |
| 18-24 · female | 4.6% |
| 55-64 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.1% |
