Feng-GUI | Data & Analytics from Israel | Greenbook
Feng-GUI
AI-Powered Visual Analytics and Insights for websites, adverts and videos to signage and packaging
Features and attributes
- Advanced Analytics
- Qualitative Data Analysis
- Social Media & Web Analytics
- Synthetic Data & Participants
What is Feng-GUI?
Powered by AI and validated by decades of neuroscience research, Feng-GUI delivers AI-Powered Visual Analytics with actionable insights and recommendations that empower digital agencies to maximize results for their clients. Since 2007, Feng-GUI service analyzed over 4 million visuals for 30K professionals around the world, across all media channels, from websites, adverts and videos to signage and packaging, including prominent firms such as: Omnicom, Walker Sands, OgilvyOne, WPP, WSI, McCann Erickson, Interpublic and Publicis.
Research Software and Platform Details
- Solution deployment: Cloud, SaaS, Web-Based
- Pricing details: Annual subscription, Free trial, Monthly subscription
- Support: Email / Help desk
- Training: Documentation, Videos
Feng-GUI Services and Expertise
Explore market research solutions, industries, markets, and business issues covered by Feng-GUI.
Research Solutions
- Advertising Effectiveness Research
- Web Analytics & Website Analysis
- Advertising Content Analysis Research
Related Services & Software
Industries / Sectors Serviced and Demographics Studied
Research Services
INFO
- Contact: feng-gui.com
- Send an Email
- +972-507296305
International capabilities
- Germany, United States, Netherlands, United Kingdom, Australia, Canada, Sweden, Denmark, Colombia, France, Poland, Israel, India, Switzerland, Italy, Mexico, Spain, Japan, China, Brazil, Turkey
Key personnel
- Rafael Mizrahi
CEO
Market Research FAQs with Expert Insights
Greenbook experts provide answers to a wide range of questions, both common and uncommon, about market research and analytics that connect to the kinds of services and expertise Feng-GUI offers.
How should social listening insights integrate with brand tracking studies?
Should AI summary tooling live in local nodes or centrally?
How should loyalty insights influence assortment and pricing strategies?
How should we select a small set of RTBs from a large set of credible options?
Do I have to trade off distinctiveness and comprehension in ad claims?
Prepared by Greenbook editors. Technology was used in the editorial process.