Jamie Davis For State Rep US Inactive
Jamie Davis Campaign
Ad copy
Travis Johnson doesn't represent us, he represents Baton Rouge PAC's and special interests while consistently selling us down the river. In the last campaign reporting period Travis raised $0 from within District 21. It's time for new leadership.
Travis Johnson doesn't represent us, he represents Baton Rouge PAC's and special interests while consistently selling us down the river. In the last campaign reporting period Travis raised $0 from within District 21. It's time for new leadership.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 35.0/100 |
| Spend / Reach / Long. / Eff. | 21.0 · 55.8 · 3.3 · 60.0 |
| Spend range | USD 300–399 |
| Impressions | 10,000 – 14,999 |
| CPM (≈ $/1k impr) | USD 27.96 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 13 (2023-10-02 → 2023-10-15) |
| Created | 2023-10-02 |
| Creative variants | 2 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | LA — Jamie Davis |
| Surfaced by | “senate:Jamie Davis” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | attack opponent |
| Message type | persuasion |
| Emotional appeal | anger |
| Production tier | diy amateur |
| Who pictured | none |
| Symbols | money cash |
| Call to action | vote |
| Standout element | Bold white retro-pixel font on stark black background with neon blue geometric lines framing a direct call to vote against the opponent by name |
| Tactic | Classic grassroots attack using zero-dollar local fundraising stat as damning proof of outsider allegiance, pairing it with an urgent vote-against CTA to maximize negative contrast. |
Where it ran (delivery by region)
| Louisiana | 79.8% |
| Texas | 2.9% |
| Mississippi | 2.6% |
| California | 1.1% |
| Florida | 1.0% |
| Georgia | 0.8% |
| Pennsylvania | 0.8% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 25-34 · female | 7.2% |
| 35-44 · unknown | 0.1% |
| 35-44 · female | 11.7% |
| 18-24 · female | 1.3% |
| 35-44 · male | 6.0% |
| 45-54 · male | 7.0% |
| 45-54 · female | 11.6% |
| 55-64 · female | 14.4% |
| 45-54 · unknown | 0.1% |
| 65+ · female | 17.4% |
| 65+ · male | 8.9% |
| 18-24 · male | 1.4% |
| 55-64 · male | 7.5% |
| 25-34 · male | 4.9% |
| 55-64 · unknown | 0.1% |
| 65+ · unknown | 0.2% |
