State Representative Pamela Stevenson US Inactive
Pamela Stevenson for Kentucky
Ballot and voting questions! Let's get ready to vote!
Ad copy
Westend! Let's get ready to vote!! We will have yard signs, you can check your status if your voting rights are restored, register, or request a ballot. We will also have fliers to give away about voting times and locations. 240 Amy Avenue. Tell your friends who have questions about the voting this year to come over! More info here https://www.facebook.com/events/760096784567584/
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 26.4/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 39.6 · 0.0 · 54.3 |
| Spend range | USD 100–199 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 59.81 |
| Est. audience size | 1,001 – 5,000 |
| Days live | 1 (2020-10-02 → 2020-10-03) |
| Created | 2020-10-02 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | KY — Pamela Stevenson |
| Surfaced by | “senate:Pamela Stevenson” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | informational |
| Message type | gotv mobilization |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | vote |
| Standout element | Overhead shot of sneakers standing over chalk-written 'VOTE' on pavement anchors the voter-empowerment theme visually |
| Tactic | Hyper-local GOTV mobilization tactic offering tangible services (registration, absentee ballots, rights restoration info) and physical goods (yard signs, fliers) to lower barriers to voting in a Democratic-leaning urban district. |
Where it ran (delivery by region)
| Kentucky | 99.7% |
| Indiana | 0.3% |
Who saw it (delivery)
| 25-34 · unknown | 0.1% |
| 55-64 · male | 5.5% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.2% |
| 65+ · male | 3.0% |
| 25-34 · male | 7.2% |
| 55-64 · female | 11.9% |
| 18-24 · female | 6.1% |
| 35-44 · female | 14.1% |
| 35-44 · unknown | 0.1% |
| 25-34 · female | 14.3% |
| 45-54 · female | 14.0% |
| 45-54 · male | 5.8% |
| 65+ · female | 7.9% |
| 18-24 · male | 3.2% |
| 35-44 · male | 6.6% |
| 18-24 · unknown | 0.0% |
