Marquita Bradshaw US Inactive
MARQUITA BRADSHAW FOR U S SENATE
Ad copy
When I’m out talking to voters, it’s clear we all hold the same progressive values. As your senator, my top priority will be advocating for the people. And we do that by investing in community. Can you imagine what will happen to our communities if the wrong person goes to the Senate? I am the only candidate with significant policy recommendations, who understands the gravity of living in a pollution-burdened community. Our lives depend on who serves in this #TNsen seat. We cannot wait any longer for justice! I’m ready to go to Washington and fight for hardworking Tennesseans. Help me get there: bit.ly/MBforUS #Bradshaw2020 #InvestInCommunities
↗ 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 | 10,001 – 50,000 |
| Days live | 5 (2020-07-20 → 2020-07-25) |
| Created | 2020-07-20 |
| 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 | persuasion |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate, diverse crowd |
| Symbols | none |
| Call to action | none |
| Standout element | Candidate photographed from behind canvassing voters on a sunlit suburban street, conveying grassroots authenticity |
| Tactic | The ad uses an authentic, unpolished canvassing photo paired with urgency-driven copy about environmental justice to position Bradshaw as the only credible, community-rooted candidate who personally understands pollution burdens. |
Where it ran (delivery by region)
| Tennessee | 98.5% |
| Arkansas | 1.5% |
Who saw it (delivery)
| 35-44 · male | 5.1% |
| 65+ · male | 9.7% |
| 65+ · unknown | 0.2% |
| 55-64 · unknown | 0.2% |
| 25-34 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 35-44 · unknown | 0.3% |
| 18-24 · male | 4.1% |
| 65+ · female | 18.9% |
| 35-44 · female | 5.4% |
| 18-24 · female | 10.7% |
| 45-54 · female | 6.7% |
| 55-64 · female | 11.0% |
| 25-34 · female | 9.2% |
| 55-64 · male | 7.1% |
| 25-34 · male | 5.5% |
| 45-54 · male | 5.4% |
| 18-24 · unknown | 0.2% |
