STRATEGENCE's systematic approach to transforming historical insights into actionable predictive intelligence Organizations spend millions each year on concept testing. They test product ideas, messages, packaging, and user experiences. Yet most teams treat each test as a single event. It helps with one decision but remains separate from past work. This creates a familiar problem. Even after years of testing, many teams depend on a few basic metrics, often purchase intent, to

This Thanksgiving, we’re honoring the people who move research and innovation forward. From early AI adopters to modern analytics experts, our team sees the future before it has a name. Here’s our tribute to the forward thinkers who turn insight into real direction.

Futureproof your brand tracking: from SEO rankings to AIO (AI Optimization) brand visibility The New Game: Treating AI as Another Audience For years, brand tracking has focused on search visibility, measuring how well a brand ranks in Google Search or performs in SEO. But that’s changing fast. As large language models (LLMs) like ChatGPT, Claude, Gemini, and many others become the go-to places for information, the question for brands isn’t just “Are we ranking?” anymore... it

When OpenAI launched ChatGPT, it didn’t use complex algorithms to set its price. Instead, it relied on a simple Google Form survey using the Van Westendorp Price Sensitivity Meter. That agile approach led to the $20/month Plus plan, now a SaaS benchmark. At STRATEGENCE, we enhance this method with smarter question flow and intent measures, helping companies turn customer perceptions into pricing strategies that drive adoption, revenue, and long-term success.

What can Batman teach us about market research innovation? Quite a lot. From fighting villains of bad data to saving time and cost with AI-powered tools, discover how STRATEGENCE turns insights into superpowers and why Stratman always answers the call when businesses send up the STRAT Signal.

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.

Synthetic data may offer speed and cost savings, but a first principles view reveals its limitations in market research. Real insights come from nuance, contradiction, and lived human experience, things models can't fully replicate. When businesses rely on research to guide million-dollar decisions, can they afford to base them on data that's simulated, smoothed, or disconnected from genuine consumer sentiment?

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.

Magnifying glass highlighting the phrase 'Brand Tracking & Text Science' over a background of marketing and innovation-related keywords.

In Confessions of a Serial Insights Killer, a rogue survey respondent reveals how fraudulent data infiltrates online research at scale. From fake profiles to AI-driven deception, this satirical blog exposes the dark side of panel sampling. Discover how STRATEGENCE's PANELYTICS fights back with advanced fraud detection, digital fingerprinting, and AI-powered data validation to protect research integrity.

Attended the Microsoft AI Tour in New York 2025 and explored the latest in generative AI, fine-tuning, and real-time analytics with Azure. From hands-on demos to expert-led sessions, the event delivered powerful insights for applying AI in market research and business innovation. Discover how STRATEGENCE is leveraging these breakthroughs to fine-tune MAI-A, our proprietary AI model, and future-proof insights programs.

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.