Operation Restoration 2020 US Inactive
CITIZENS FOR JADE SIMMONS
⚠ Creative removed by Meta
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
This ad's image was taken down for violating Meta's ad standards; the copy below is preserved from the Ad Library.
South Dakota, Let's Make History Together!
Ad copy
The 2020 election is coming. Aren't you tired of choosing between the lesser of two evils? Watch this video for a better option and learn how to get more options on your ballot in November.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 35.4/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 61.7 · 0.8 · 79.0 |
| Spend range | <USD 99 |
| Impressions | 20,000 – 24,999 |
| CPM (≈ $/1k impr) | USD 2.2 |
| Est. audience size | 100,001 – 500,000 |
| Days live | 4 (2020-05-21 → 2020-05-25) |
| Created | 2020-05-20 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | TX — Jade Simmons |
| Surfaced by | “senate:Jade Simmons” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | issue advocacy |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | unknown |
| Who pictured | none |
| Symbols | none |
| Call to action | learn more |
| Standout element | Facebook content removal notice replacing the actual ad creative |
| Tactic | The ad is entirely invisible due to a policy violation takedown, making its persuasion moot — only the removal notice and copy context remain, suggesting a third-party ballot access appeal targeting disaffected voters. |
Where it ran (delivery by region)
| South Dakota | 100.0% |
Who saw it (delivery)
| 65+ · male | 2.6% |
| 55-64 · female | 5.0% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.1% |
| 45-54 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 25-34 · unknown | 0.2% |
| 55-64 · male | 5.2% |
| 45-54 · female | 5.7% |
| 65+ · female | 3.6% |
| 35-44 · female | 9.2% |
| 25-34 · male | 16.6% |
| 25-34 · female | 11.7% |
| 45-54 · male | 7.6% |
| 18-24 · male | 10.3% |
| 18-24 · female | 9.8% |
| 35-44 · male | 12.0% |
| 35-44 · unknown | 0.2% |
