State Representative Pamela Stevenson US Inactive
Pamela Stevenson for Kentucky
Re-Elect State Representative Pamela Stevenson
Ad copy
One of the sneaky things that happens in Frankfort is that bills change at the last minute. Sometimes with so many changes it is impossible to know what is in them. I wait to place my vote until after I read them. I am headed back to Frankfort today for the last 2 days of session and I will be recording all of my votes now that I have read the hundreds of pages of last minute addtions.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 27.9/100 |
| Spend / Reach / Long. / Eff. | 11.9 · 43.0 · 0.0 · 56.8 |
| Spend range | USD 100–199 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 42.72 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 1 (2022-04-15 → 2022-04-16) |
| Created | 2022-04-15 |
| 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 | positive candidate |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Candidate speaking directly to camera outdoors in casual dress, gesturing emphatically — raw authenticity over polish |
| Tactic | The ad uses an unscripted, direct-to-camera accountability message to build trust by positioning Stevenson as a diligent, principled legislator who reads bills before voting — contrasting implicitly with lawmakers who do not. |
Where it ran (delivery by region)
| Kentucky | 100.0% |
Who saw it (delivery)
| 65+ · unknown | 0.0% |
| 45-54 · female | 10.3% |
| 18-24 · unknown | 0.1% |
| 55-64 · male | 4.7% |
| 65+ · female | 6.1% |
| 45-54 · male | 6.0% |
| 18-24 · female | 3.4% |
| 35-44 · male | 9.5% |
| 25-34 · female | 18.6% |
| 35-44 · unknown | 0.3% |
| 55-64 · female | 7.8% |
| 35-44 · female | 14.8% |
| 25-34 · male | 12.2% |
| 18-24 · male | 2.2% |
| 65+ · male | 3.1% |
| 25-34 · unknown | 0.5% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.2% |
