genpark-url-to-ad

GenPark URL-To-Ad is a zero-dependency autonomous advertising copy and performance prediction engine implementing OpenGraph semantic parsing, multi-angle conversion framework generation (PAS, BAB, Social Proof, FOMO, Feature-Benefit), and Bayesian Beta-Binomial conjugate CTR estimation.

flowchart TD
    A[Webpage Metadata & Microdata] --> B[Semantic Signal Extractor]
    B --> C[5 Conversion Copy Angle Composer]
    C --> D[Flesch-Kincaid Readability Auditor]
    E[Historical Impression & Click Data] --> F[Conjugate Beta Prior Model]
    F --> G[Bayesian CTR Posterior & 95% CI]
    G --> H[Budget Scale & Copy Optimization Action]

Features

• Semantic Metadata Signal Scorer: Parses OpenGraph and schema attributes into structured product entities with readiness validation.
• 5-Angle Conversion Copywriting: Formulates PAS, BAB, Authority, Scarcity, and Benefit angles with readability metrics.
• Conjugate Bayesian CTR Estimator: Computes calibrated click-through rate posteriors and 95% credible intervals with Beta distributions.

Quickstart

from client import GenParkUrlToAd

engine = GenParkUrlToAd()
res = engine.predict_bayesian_ctr_score(historical_impressions=10000, historical_clicks=250, ad_relevance_score=0.9)
print(res["calibrated_predicted_ctr_pct"], "% CTR")

License

MIT