Committee To Elect Campbell
Please message address and I'll deliver
I'm taking orders for tree saplings. I have 4 types of tree saplings from the Indiana Department of Natural Resources-Division of Forestry. I will deliver to your home for you to plant, while supplies last. Please send me a message which tree sapling in order of your top choices that you would like and an address for delivery. List your choices as 1 for first choice, 2 for second and so on... Norway Spruce Tulip Tree Sycamore Shagbark Hickory I will drop these off at your front door. Please plant quickly and keep watered.
↗ View in Meta Ad Library (the live creative — image/video/layout)
| Overall score | 25.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 39.6 · 0.6 · 62.6 |
| Spend range | <USD 99 |
| Impressions | 2,000 – 2,999 |
| CPM (≈ $/1k impr) | USD 19.8 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 3 (2020-04-02 → 2020-04-05) |
| Created | 2020-04-01 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | KY — Chris Campbell |
| Surfaced by | “senate:Chris Campbell” |
| Issue | other |
| Framing | informational |
| Message type | list building survey |
| Emotional appeal | neutral |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | none |
| Standout element | Facebook content-removed notice obscuring what was a hyper-local free tree sapling giveaway ad |
| Tactic | A community goodwill tactic using free tree saplings to collect constituent contact information and build a voter list, undermined by a missing ad disclaimer that caused Facebook to remove the content. |
| Indiana | 100.0% |
| 18-24 · unknown | 0.1% |
| 45-54 · male | 2.0% |
| 18-24 · male | 0.9% |
| 35-44 · unknown | 0.3% |
| 55-64 · unknown | 0.2% |
| 18-24 · female | 5.2% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 1.5% |
| 65+ · male | 1.2% |
| 35-44 · female | 23.8% |
| 65+ · unknown | 0.4% |
| 55-64 · male | 1.6% |
| 55-64 · female | 16.6% |
| 25-34 · female | 14.6% |
| 65+ · female | 11.4% |
| 45-54 · female | 18.1% |
| 35-44 · male | 1.5% |
| 45-54 · unknown | 0.2% |