David Roth for Idaho US Inactive
The Committee to Elect David Roth
Ad copy
Are you feeling like you are between a rock and a hard place when deciding who gets your vote in District 33B? If you support strong public schools- Vote Roth If you support reducing local property taxes - Vote Roth If you support the protection and conservation of public lands for use by future generations - Vote Roth If your biggest concern is gaining the favor of a former reality tv star - Vote... eh... for the other guy
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 19.2/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 1.1 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 5 (2020-10-10 → 2020-10-15) |
| Created | 2020-10-10 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | ID — David Roth |
| Surfaced by | “senate:David Roth” |
🧠 AI analysis
| Issue | education |
| Framing | contrast comparison |
| Message type | persuasion |
| Emotional appeal | pride |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | none |
| Call to action | vote |
| Standout element | Handpainted campaign rocks serving as literal visual pun on 'between a rock and a hard place' |
| Tactic | The ad deploys a clever self-aware pun tying the visual gimmick directly to the copy's rhetorical device, humanizing the candidate as witty and grassroots while contrasting his policy substance against an opponent dismissively reduced to a 'reality TV star' fanboy. |
Where it ran (delivery by region)
| Idaho | 56.6% |
| California | 6.6% |
| Utah | 5.0% |
| Washington | 4.0% |
| Oregon | 2.6% |
| Colorado | 1.9% |
| Illinois | 1.6% |
Who saw it (delivery)
| 18-24 · female | 3.2% |
| 55-64 · male | 9.5% |
| 35-44 · male | 9.0% |
| 55-64 · female | 10.3% |
| 45-54 · male | 8.2% |
| 35-44 · female | 7.9% |
| 65+ · female | 18.3% |
| 45-54 · female | 6.1% |
| 65+ · male | 10.8% |
| 25-34 · male | 8.7% |
| 18-24 · male | 2.9% |
| 45-54 · unknown | 0.3% |
| 25-34 · female | 4.8% |
