Congresswoman Julia Letlow US Inactive
Office of Congresswoman Julia Letlow
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Ending soon.
Ad copy
Record inflation has impacted every Louisiana family. According to the Joint Economic Committee Republicans, under President Biden's policies, households are spending $884 more per month to purchase the same basket of goods and services as they were in 2021.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.7/100 |
| Spend / Reach / Long. / Eff. | 23.7 · 72.4 · 20.4 · 70.4 |
| Spend range | USD 400–499 |
| Impressions | 60,000 – 69,999 |
| CPM (≈ $/1k impr) | USD 6.92 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 75 (2024-04-16 → 2024-06-30) |
| Created | 2024-04-16 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | LA — Julia Letlow |
| Surfaced by | “senate:Julia Letlow” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | issue advocacy |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | none |
| Symbols | capitol statue, money cash |
| Call to action | survey poll |
| Standout element | Bold all-caps 'DO YOU AGREE?' call-out box acting as a survey hook embedded within the ad image |
| Tactic | The ad uses a loaded agree/disagree survey question to capture voter data while simultaneously framing Biden as responsible for $884/month in extra household costs, turning list-building into implicit persuasion. |
Where it ran (delivery by region)
| Louisiana | 99.8% |
| Mississippi | 0.1% |
| Texas | 0.0% |
| Arkansas | 0.0% |
| New Mexico | 0.0% |
| Alabama | 0.0% |
| Massachusetts | 0.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.0% |
| 55-64 · female | 9.0% |
| 35-44 · male | 1.0% |
| 18-24 · unknown | 0.1% |
| 55-64 · unknown | 0.1% |
| 45-54 · male | 2.3% |
| 55-64 · male | 7.2% |
| 18-24 · male | 4.0% |
| 25-34 · female | 5.2% |
| 35-44 · unknown | 0.0% |
| 65+ · male | 19.2% |
| 18-24 · female | 14.6% |
| 65+ · female | 30.2% |
| 45-54 · female | 2.8% |
| 25-34 · male | 2.1% |
| 35-44 · female | 1.9% |
| 65+ · unknown | 0.3% |
| 25-34 · unknown | 0.0% |
