Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights. This time, you get to discover five hand-picked consumer choice analytics startups.
Out of 232, the Global Startup Heat Map highlights 5 Top Consumer Choice Analytics Startups
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 232 exemplary startups & scaleups we analyzed for this research. Further, it highlights five consumer choice analytics startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 227 consumer choice analytics solutions, get in touch with us.
Neuroset advances Customer Emotion Analysis
Founding Year: 2017
Location: London, UK
Industries: Retail, Marketing
Partner for: Neuromarketing
UK-based startup Neuroset is a consumer neuroscience research company that derives insights using customers’ unspoken needs, emotions, attitudes, and choices. The startup’s analytical model measures the time-course of customer engagement by tracking their perception, emotions, memory, and decision-making process. This provides brand and marketing teams with quantitative data into their customer’s choices when selecting and purchasing products. The solution, in turn, improves ad performance and allows brands to better connect with targeted customers.
Travvis offers Customer Behavior Analytics
Founding Year: 2018
Location: Bogota, Colombia
Industries: Retail, eCommerce
Partner for: Shopping Cart Analytics
Colombian startup Travvis develops a software solution to analyze user behavior in real-time, before, during, and after interacting with a product or service. It uses AI algorithms to perform robust and efficient customer data analysis. In addition, the software also analyzes people, counts traffic and objects, demographics, average age, and consumer sentiment. This allows retailers to better understand their consumer choices in the products that they view or select.
WUNDER creates AI-powered Customer Engagement Apps
Founding Year: 2016
Location: Berlin, Germany
Industries: Retail, Fashion, Travel
Partner for: Personalized Product Matching
WUNDER is a German startup that builds intelligent AI-based customer engagement apps. The startup’s search apps are based on their hyperfast matching technology that provides users with products or brands based on personality types. The apps contain an extensive database of colors, shades, and finishes as well as learn and improve in real-time to provide better product recommendations. This reduces the rate of cart abandonment while allowing brands to foster better relationships with their customers.
Macty develops a Product Image Analytics Tool
Founding Year: 2017
Location: Leuven, Belgium
Industries: eCommerce, Retail
Partner for: Personalized Product Recommendations
Belgian startup Macty develops an AI-based application programming interface (API) to improve customer shopping experiences. The startup’s solution, Macty, enables users to take photos of items which are then processed to identify and match the relevant items in stores. AI analyzes users’ preferences based on the image and provides better recommendations and faster searches. This way, retailers are able to better understand customers’ shopping choices and to increase their digital presence.
Behamics provides Real-time Customer Behavior Analytics
Founding Year: 2019
Location: New York, US
Industries: Retail, eCommerce
Partner for: Targeted Marketing
Behamics is a US-based startup that uses AI and behavioral science to reduce cart abandonment and product returns. The startup’s solution predicts the reasons for product abandonment and displays behavioral messages to support the customer’s purchasing decision. Moreover, it measures the result of the behavioral messages to improve itself, thereby enabling stores to improve sales through positive reinforcement.
Discover more Startups
Consumer analytics startups such as the examples highlighted in this report focus on increasing repeat sales, reducing cart abandonment as well as AI and advanced analytics. While all of these technologies play a major role in advancing the industry, they only represent the tip of the iceberg. To explore analytics solutions in more detail, let us look into your areas of interest. For a more general overview, download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.
