Tom Cotton US Inactive
COTTON FOR SENATE, INC.
Stop the Leftโs power grab!
Pitch in now
Ad copy
๐จ ๐ง๐ต๐ฒ ๐บ๐ผ๐บ๐ฒ๐ป๐ ๐ต๐ฎ๐ ๐ฎ๐ฟ๐ฟ๐ถ๐๐ฒ๐ฑ โ ๐๐ฒ๐บ๐ผ๐ฐ๐ฟ๐ฎ๐๐ ๐ฎ๐ฟ๐ฒ ๐ฝ๐๐๐๐ถ๐ป๐ด ๐.๐ฅ. ๐ญ ๐๐ผ ๐ฎ ๐๐ผ๐๐ฒ ๐ง๐๐๐ฆ ๐ช๐๐๐. H.R. 1 would BAN voter ID, MANDATE ballot harvesting, and use YOUR tax dollars to fund liberal campaigns. Iโm doing everything I can to stop it, but I need YOU to step up more than ever before. Please pitch in $5 or $10 RIGHT NOW to help me stop H.R. 1 for good >>
โ View in Meta Ad Library (the live creative โ image/video/layout)
Performance proxies
| Overall score | 48.0/100 |
| Spend / Reach / Long. / Eff. | 49.0 ยท 81.7 ยท 1.7 ยท 59.7 |
| Spend range | USD 4,500โ4,999 |
| Impressions | 150,000 โ 174,999 |
| CPM (โ $/1k impr) | USD 29.23 |
| Est. audience size | โ |
| Days live | 7 (2021-06-22 โ 2021-06-29) |
| Created | 2021-06-22 |
| Creative variants | 1 body ยท 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AR โ Tom Cotton |
| Surfaced by | โsenate:Tom Cottonโ |
๐ง AI analysis
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | fundraising |
| Emotional appeal | fear |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Bold countdown urgency overlay beneath candidate video freeze-frame |
| Tactic | Classic fear-and-urgency fundraising tactic using a ticking-clock deadline to convert outrage over H.R. 1 into immediate small-dollar donations. |
Where it ran (delivery by region)
| California | 9.0% |
| Texas | 8.3% |
| Florida | 8.0% |
| Ohio | 4.3% |
| New York | 4.1% |
| Pennsylvania | 3.8% |
| Michigan | 3.6% |
Who saw it (delivery)
| 18-24 ยท unknown | 0.0% |
| 65+ ยท male | 22.4% |
| 45-54 ยท unknown | 0.1% |
| 55-64 ยท unknown | 0.2% |
| 35-44 ยท female | 1.9% |
| 45-54 ยท female | 4.5% |
| 18-24 ยท female | 0.2% |
| 18-24 ยท male | 0.4% |
| 45-54 ยท male | 6.4% |
| 65+ ยท unknown | 0.4% |
| 55-64 ยท male | 15.3% |
| 65+ ยท female | 28.5% |
| 55-64 ยท female | 12.8% |
| 35-44 ยท male | 3.4% |
| 25-34 ยท male | 2.3% |
| 25-34 ยท female | 1.1% |
| 35-44 ยท unknown | 0.1% |
| 25-34 ยท unknown | 0.0% |
