deep-research

You can automate psychological market research by running a 15-agent pipeline that executes sentiment analysis, belief mapping, and identity profiling on raw data. This approach transforms scattered market signals into structured psychological intelligence for strategy.

Aspect-based sentiment analysis decomposes quotes into specific aspects and rates their sentiment, mapping underlying customer beliefs. This Skill applies that mechanism to extract psychological intelligence and build a relational knowledge graph.

Yes, you can use Apify and Firecrawl for competitor analysis data acquisition within this pipeline. The Skill integrates both platforms to collect raw market data from forums and social media before executing psychological analysis.

The ACE framework creates a self-improving playbook that learns from campaign outcomes to continuously refine market research strategies. It uses gathered psychological intelligence to adapt and optimize future data analysis processes.

Deep market research uses a knowledge graph to structure identity profiles and relational market psychology data. This Skill automatically builds a graph with 50+ entities and 100+ relationships to map customer beliefs and sentiment connections.

The best way to prioritize high-signal insights from social media is Signal Quality Scoring, which rates quotes 1-10 based on strategic value. This Skill uses SQS to filter noise and surface the exact language driving customer decisions.