Seth Moulton US Inactive
MOULTON FOR CONGRESS
Vote for Seth by mail!
Here are the simple steps >>
Ad copy
Step 1: Check your info at bit.ly/CheckMyRegMA Step 2: Fill out your mail-in ballot application (Visit bit.ly/VoteByMailAppMA to fill out an electronic application) Step 3: Mail, email, or fax your application to your local election official at your town of city hall (find yours here: https://www.sec.state.ma.us/ele/eleclk/clkidx.htm) Step 4: Receive your ballot in the mail, fill it out, and mail it back. For more info, visit: bit.ly/HowToVoteByMailMA
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 52.5/100 |
| Spend / Reach / Long. / Eff. | 44.9 · 90.1 · 6.3 · 68.7 |
| Spend range | USD 3,000–3,499 |
| Impressions | 350,000 – 399,999 |
| CPM (≈ $/1k impr) | USD 8.67 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 24 (2020-07-27 → 2020-08-20) |
| Created | 2020-07-27 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MA — Seth Moulton |
| Surfaced by | “senate:Seth Moulton” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | gotv mobilization |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | none |
| Call to action | vote |
| Standout element | Bold 'YOU CAN' text in large white letters on a solid blue background with a video play button, creating an empowering call-to-action |
| Tactic | The ad uses a step-by-step instructional approach combined with an empowering 'YOU CAN' message to lower barriers to mail-in voting while driving GOTV mobilization for Seth Moulton. |
Where it ran (delivery by region)
| Massachusetts | 99.8% |
| New Hampshire | 0.2% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 45-54 · female | 4.9% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 35-44 · unknown | 0.1% |
| 35-44 · female | 6.4% |
| 35-44 · male | 6.1% |
| 55-64 · female | 5.9% |
| 55-64 · male | 4.7% |
| 18-24 · male | 10.8% |
| 65+ · female | 7.1% |
| 18-24 · female | 15.9% |
| 25-34 · female | 14.1% |
| 25-34 · male | 14.7% |
| 45-54 · male | 5.0% |
| 65+ · male | 3.9% |
| 25-34 · unknown | 0.2% |
