Digital Voice of Customer
Automated market research using online customer reviews
Setuserv’s Consumer Reviews Insights and Signals (CRIS) platform is designed to mine insights and signals from multiple online sources including eCommerce platforms, business listing sites, social media portals, travel sites and all other major sources for reviews. We specialize in customizing the solution based on industry-specific needs. Our data research team works with each client’s requirements, designing the most appropriate solution from data collection to building a custom machine learning model to offer the most accurate insights and signals based on industry needs.
Deep Insights Into Customer Behavior
Specific review sites like trustpilot offer exclusive reviews; mining these data will enable us to understand customer needs and expectations.
Social Media Analysis
Social mentions are very useful in gathering emotional data. We are experts in gathering and analyzing sentiments of consumers from various sources like brand mentions in twitter, hashtags etc.
Ecommerce product reviews are one of the best ways to identify opportunities in product innovation which brands can leverage on and add them as part of their product road map. This helps in creating a superior product-market fit.
Local Business Listings
Google business listings are valuable for analyzing in-store experience of a brand at a specific location. Our team develops geomap location analysis and the data collected can be used to improve customer experience across various locations.
Beat the limitations in Surveys
Traditional methods of market research involve brands conducting surveys with defined objectives. Most of the times these surveys tend to be limited in scale and do not capture the real voice of the customer. With the evolving eCommerce digital landscape comes organic consumer feedback highly valuable to brands. Online reviews are a great source for brands to analyze and subsequently generate deep insights about consumer behavior. Mining of data from multiple sources like social media mentions, eCommerce product reviews, business listing reviews, online review sites etc helps make appropriate decisions about various aspects of a brand ranging from marketing to product innovation.
Data within the Market Landscape module includes:
Share of Voice
Trending Brands by Volume and Rating
Analyses within the Deep Dive module includes:
Competitive Benchmarking by Category, Subcategory, Segment, Brand and Product
Impact to a Business
Top Brands for a Topic
Data tracking within Flash Trends module includes:
Trends by Brand, Segment, Product and Topic
Trending keywords and phrases