Committee To Elect Campbell
A very busy day at the State House. It began with Honoring the First Robotics programs throughout the state. I coached several First LEGO robotics teams when my children were younger and at Happy Hollow schools. Next I offered a Paid Family and Medical Leave program be established with 50 cents to $2 deductions from you paycheck to allow mom's to stay home with a newborn, individuals to care for loved ones or individuals to take advantage of a much needed partial wage replacement when needed. Finally I filed to run for office. I hope that I can count on your support to continue to be the State Representative for District 26. @ State Rep. Chris Campbell
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 29.1/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 45.5 · 3.9 · 67.0 |
| Spend range | <USD 99 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 11.0 |
| Est. audience size | — |
| Days live | 15 (2020-01-12 → 2020-01-27) |
| Created | 2020-01-12 |
| Creative variants | 1 body · 0 headline |
| Platforms | |
| Languages | en |
| Candidate | KY — Chris Campbell |
| Surfaced by | “senate:Chris Campbell” |
| Issue | other |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | neutral |
| Production tier | diy amateur |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content removal notice blocking the actual ad creative |
| Tactic | The ad is rendered inaccessible by a platform policy violation notice, making any persuasion intent moot; the underlying copy blends personal biography with a paid family leave policy pitch to humanize the candidate. |
| Indiana | 100.0% |
| 65+ · unknown | 0.3% |
| 25-34 · female | 6.6% |
| 45-54 · unknown | 0.1% |
| 55-64 · female | 5.8% |
| 65+ · male | 4.6% |
| 35-44 · female | 4.7% |
| 65+ · female | 6.3% |
| 45-54 · male | 7.5% |
| 18-24 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 5.2% |
| 55-64 · male | 6.9% |
| 35-44 · male | 10.3% |
| 25-34 · male | 18.4% |
| 18-24 · female | 8.8% |
| 18-24 · male | 14.2% |
| 25-34 · unknown | 0.2% |