Channel Signal, the leading aggregator of product reviews and analysis, today announced its working with Skullcandy Inc., the #1 selling North American brand in stereo headphones and true wireless earbuds under $100 – to increase conversion rates. Channel Signal is now helping Skullcandy systematically monitor, measure and understand their online reviews to improve its customer service and product development, while generating additional revenue.
Marketing Technology News: PandoLogic Wins Ventana Research Digital Innovation Award For Human Capital Management
According to a study by Womply, businesses with more than the average number of reviews across all review sites bring in 54% more in annual revenue. With its explosive growth in ecommerce, Skullcandy realized the importance of gathering product reviews from multiple platforms, centralizing that data and making it accessible to a variety of different business stakeholders to help it better serve their growing customer base.
Skullcandy recognized Channel Signal’s unique ability to not only aggregate reviews from across the internet (Amazon, major retailers, etc.) but to then clean and validate each. Next, using enhanced analytics, Channel Signal allows Skullcandy to better understand the needs of its customers in order to drive product development and growth and ultimately increase revenue.
“We looked at a number of different solutions to monitor and aggregate our reviews data,” said Mark Hopkins, Chief Information Officer, Skullcandy, Inc. “We partnered with Channel Signal because their platform gives us the detailed visibility we need in an easy to use package. In addition, we can seamlessly integrate the data into our advanced analytics platform. This opens the door for next level insights to help us understand things like themes and sentiment. We are using this data to better understand what our customers like, what we can improve, and to drive our product roadmap.”
Marketing Technology News:MarTech Interview With Yogeeta Chainani, Co-Founder And CPO At Swaarm