State Representative Pamela Stevenson US Inactive
Pamela Stevenson for Kentucky
How to request your ballot online.
Ad copy
This year, it is so important we show up to vote. But that means we should request our ballot to be sent to us. It is easy to do online at www.GoVoteKY.com . You can even use your phone! If you do not have access to the internet, it is ok to borrow someone else's device to request your ballot through the secure portal with the Board of Elections. I will do another video about what to do once you get your ballot in the mail.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 32.0/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 51.9 · 0.8 · 63.5 |
| Spend range | USD 100–199 |
| Impressions | 8,000 – 8,999 |
| CPM (≈ $/1k impr) | USD 17.59 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 4 (2020-05-28 → 2020-06-01) |
| Created | 2020-05-28 |
| 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 | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | vote |
| Standout element | Candidate seated casually at a cluttered office desk with campaign signage visible in the background, filmed on a personal device |
| Tactic | Peer-to-peer trust tactic — the candidate speaks directly and informally to voters as a knowledgeable neighbor, lowering friction around mail ballot requests by making the process feel accessible and safe. |
Where it ran (delivery by region)
| Kentucky | 90.5% |
| Indiana | 0.9% |
| Texas | 0.9% |
| Georgia | 0.6% |
| Ohio | 0.5% |
| Florida | 0.5% |
| Illinois | 0.5% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 45-54 · male | 6.5% |
| 65+ · female | 9.6% |
| 25-34 · female | 12.8% |
| 18-24 · female | 4.6% |
| 25-34 · male | 7.0% |
| 55-64 · female | 12.1% |
| 45-54 · female | 12.2% |
| 55-64 · male | 6.5% |
| 25-34 · unknown | 0.2% |
| 35-44 · female | 14.0% |
| 18-24 · male | 2.3% |
| 35-44 · male | 7.4% |
| 35-44 · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 65+ · male | 4.4% |
