Jordan Wood US Inactive
JORDAN FOR MAINE
CHIP IN TO DEFEAT REPUBLICAN SUSAN COLLINS
If we win this race, we’ll win the ENTIRE Senate >>
Ad copy
Jordan Wood is TIED with Susan Collins in the closest Senate race in the country. And this race is Democrats’ BEST chance to flip the Senate. It’s that simple. But Republicans are flocking to Collins’ aid and vowed that over $400 MILLION will be spent in this Senate race. We need to fight back ASAP: Can you donate $10 to help us build the resources needed to defend against whatever MAGA throws our way?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 48.7/100 |
| Spend / Reach / Long. / Eff. | 56.4 · 81.7 · 2.2 · 54.5 |
| Spend range | USD 9,000–9,999 |
| Impressions | 150,000 – 174,999 |
| CPM (≈ $/1k impr) | USD 58.46 |
| Est. audience size | — |
| Days live | 9 (2025-09-29 → 2025-10-08) |
| Created | 2025-09-29 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ME — Jordan Wood |
| Surfaced by | “senate:Jordan Wood” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | diy amateur |
| Who pictured | candidate, family children |
| Symbols | family |
| Call to action | donate |
| Standout element | Candidate playfully waving with toddler on shoulders captioned as waving goodbye to Collins — turning a candid family moment into a confident victory taunt |
| Tactic | The ad uses a disarming, humorous family snapshot to humanize the candidate while the provocative caption and urgent copy create emotional momentum toward donation. |
Where it ran (delivery by region)
| California | 13.2% |
| New York | 8.7% |
| Massachusetts | 7.4% |
| Florida | 5.5% |
| Texas | 4.8% |
| Pennsylvania | 4.6% |
| New Jersey | 4.0% |
Who saw it (delivery)
| 25-34 · female | 2.1% |
| 25-34 · male | 1.3% |
| 25-34 · unknown | 0.1% |
| 35-44 · female | 6.1% |
| 35-44 · male | 2.8% |
| 35-44 · unknown | 0.1% |
| 45-54 · female | 8.0% |
| 45-54 · male | 3.1% |
| 45-54 · unknown | 0.2% |
| 55-64 · female | 15.1% |
| 55-64 · male | 6.3% |
| 55-64 · unknown | 0.2% |
| 65+ · female | 41.3% |
| 65+ · male | 12.7% |
| 65+ · unknown | 0.7% |
