Chris Campbell US Inactive
Committee To Elect Campbell
Free Tree Saplings
Please message address and I'll deliver
Ad copy
FREE TREE SAPLINGS. WHILE SUPPLIES LAST I have 3 types of tree saplings from the Indiana Department of Natural Resources-Division of Forestry. I will deliver to your home for you to plant, PLEASE MESSAGE ME YOUR: ADDRESS NEEDS TO BE INCLUDED FOR DELIVERY LIST YOUR TOP CHOICE 1ST TO LAST CHOICE FOR YOUR SAPLING. Norway Spruce Sycamore Shagbark Hickory I will drop these off at your front door. Please plant quickly and keep watered. All State Representatives can receive 100 saplings from the Indiana Department of Natural Resource, Forestry Division a year to distribute in their community. These are all native Indiana trees.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 23.3/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 34.4 · 0.0 · 58.7 |
| Spend range | <USD 99 |
| Impressions | 1,000 – 1,999 |
| CPM (≈ $/1k impr) | USD 33.01 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 1 (2020-04-06 → 2020-04-07) |
| Created | 2020-04-05 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | KY — Chris Campbell |
| Surfaced by | “senate:Chris Campbell” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| 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 disclaimer blocking a sapling giveaway post, revealing a DIY grassroots constituent outreach tactic |
| Tactic | The ad uses a hyperlocal community service giveaway (free tree saplings with home delivery) to collect voter addresses and build a contact list, a classic list-building tactic dressed as constituent service — but was flagged and removed for missing a proper political disclaimer. |
Where it ran (delivery by region)
| Indiana | 100.0% |
Who saw it (delivery)
| 35-44 · female | 19.8% |
| 25-34 · unknown | 0.5% |
| 55-64 · unknown | 0.5% |
| 18-24 · male | 2.3% |
| 18-24 · unknown | 0.1% |
| 35-44 · unknown | 0.4% |
| 65+ · male | 3.0% |
| 25-34 · male | 4.0% |
| 55-64 · male | 3.8% |
| 45-54 · male | 4.0% |
| 65+ · unknown | 0.5% |
| 65+ · female | 10.4% |
| 18-24 · female | 5.9% |
| 35-44 · male | 5.3% |
| 45-54 · female | 15.2% |
| 55-64 · female | 11.5% |
| 25-34 · female | 12.8% |
| 45-54 · unknown | 0.3% |
