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Optimizing Our AI Agents for Market Research: Treat Them Like 5th Graders
At STRATEGENCE, we examined 30+ frontier generative AI models and found that even the most advanced "genius agents" need structure. By treating them like curious 5th graders, we use our ART (Alignment, Relevance, Triangulation) + RAG approach to guide, prompt, and enrich their outputs, turning fragmented data into reliable insights and real market advantage.

Renato Silvestre
Aug 176 min read


SMART Bayes Net Multi-Domain Segmentation: Uncovering Customer Complexity with Bayesian Networks
Struggling with ineffective customer segmentation? In this blog post, Renato Silvestre introduces Smart Bayes, a Bayesian Network-based segmentation approach that models real-world complexity, uncovers behavioral drivers, and boosts activation. Unlike traditional clustering, it delivers actionable, multi-domain insights for industries like CPG and PropTech. Discover how probabilistic models can transform your segmentation strategy.

Renato Silvestre
Jun 153 min read


Signal from Noise: AI in Marketing Research
In Signal from Noise, Renato Silvestre explores how AI in marketing research delivers real value when guided by the ETL framework: Extract, Transform, Load. He highlights the importance of high-quality data, encoding categorical variables, and addressing missing values. Key AI applications include NLP, predictive modeling, and generative AI, all aimed at improving research accuracy and efficiency.

Renato Silvestre
Jan 7, 20247 min read
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