General Evidence
General Evidence provides a consumer intelligence platform that combines an opted-in behavioral panel with AI research tools. The company helps businesses understand actual consumer behavior across purchases, searches, and media consumption, then layers qualitative interviews on top to explain the "why" behind observed actions.
- Artificial Intelligence
- Data & Analytics
- Marketing Technology
- Software Only
Funding
Founders
Product
Problem
Traditional market research relies on self-reported behavior, which is often inaccurate or incomplete. Companies struggle to get reliable evidence about what consumers actually do across their digital lives, leading to decisions based on estimates rather than observed facts.
Solution
General Evidence operates a consumer intelligence platform built on a consented panel of over 29,000 people in Germany who connect their accounts—including Amazon, Google, Meta, and grocery loyalty programs—through the Datapods consumer app. The platform uses multi-agent AI systems to analyze years of real behavioral data, answering questions about purchases, searches, and media consumption in hours rather than weeks. After behavior is observed, the platform layers AI-conducted interviews and surveys on top to understand the motivations behind actions. The result is a continuous research environment where client teams ask their own questions, run studies, and build on accumulated insights instead of buying one-off reports.
Target Audience
Primary customers are marketing, category, and strategy teams at consumer brands and retailers who need continuous, evidence-based consumer insights rather than periodic survey reports.
Features
- Connected-account data collection covering 7.4B+ Amazon events, 2.4B+ video views, and SKU-level grocery purchases from the REWE catalog
- Multi-agent AI system that processes behavioral data like a team of data scientists, answering research questions in hours
- AI Research Agent that conducts follow-up interviews with panelists to explain the reasoning behind observed behavior
- Census-weighted demographic data for representative, projectable results across the German population
- GDPR-native architecture with EU hosting, pseudonymization, and individual source-level consent management
- Consumer apps (Datapods and Stack) that let panelists see all connected sources, earn daily dividends, and revoke access with one tap