Blake Miguez US Inactive
Friends of Blake Miguez
Ad copy
I joined our local legislative delegation to give the Associated Real Estate Professionals of Iberia Parish an update about our work in the recent special legislative session. We discussed the Insure Louisiana Incentive Program which aims to lower homeowner insurance premiums. This increased premium rates crisis is negatively affecting our community making homeownership unaffordable for working families. #realestateprofessionals #IberiaParish #legislativesession #InsureLouisiana #homeownerinsurance #affordablehomes
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 30.7/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 50.6 · 1.4 · 70.8 |
| Spend range | <USD 99 |
| Impressions | 7,000 – 7,999 |
| CPM (≈ $/1k impr) | USD 6.6 |
| Est. audience size | 5,001 – 10,000 |
| Days live | 6 (2023-02-15 → 2023-02-21) |
| Created | 2023-02-15 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | LA — Blake Miguez |
| Surfaced by | “senate:Blake Miguez” |
🧠 AI analysis
| Issue | housing |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | empathy |
| Production tier | diy amateur |
| Who pictured | candidate, diverse crowd |
| Symbols | us flag |
| Call to action | none |
| Standout element | Candidate seated at table briefing real estate professionals in a community meeting room with a U.S. flag in the background |
| Tactic | Soft constituent outreach tactic using documentary-style photos of a real legislative briefing to establish credibility and relatability on the homeowner insurance affordability crisis. |
Where it ran (delivery by region)
| Louisiana | 94.1% |
| Texas | 1.2% |
| Florida | 0.6% |
| Mississippi | 0.5% |
| Arizona | 0.3% |
| California | 0.3% |
| Ohio | 0.2% |
Who saw it (delivery)
| 25-34 · unknown | 0.0% |
| 55-64 · male | 7.1% |
| 18-24 · male | 1.2% |
| 45-54 · male | 11.6% |
| 65+ · female | 6.4% |
| 45-54 · unknown | 0.3% |
| 25-34 · female | 7.3% |
| 55-64 · female | 8.7% |
| 35-44 · male | 15.7% |
| 55-64 · unknown | 0.1% |
| 35-44 · female | 15.3% |
| 25-34 · male | 8.5% |
| 65+ · male | 4.6% |
| 45-54 · female | 12.0% |
| 35-44 · unknown | 0.2% |
| 65+ · unknown | 0.1% |
| 18-24 · female | 0.8% |
