Many businesses say they have a customer focused strategy, but how many live up to it? To be customer focused you must listen to customers in real-time, analyze their pain points, and quickly implement improvements to correct the problem areas. After all, customers just want to have their needs met, quickly and easily, in a process that is simple to understand. Customer feedback data is one of the most important assets a business owns, yet many businesses do not fully reap of the benefits of the insights available within the data. This may be due to analytics being viewed as an IT function, where it is costly, and takes a long time to run analysis sessions.
The Signals platform is built for self-service analytics. Anyone in the company can quickly and easily pull and analyze customer feedback, and drill down into the ‘why’ beneath the data. Analysis jobs can be run in minutes, without the need of a data scientist or IT expert.
Signals has built-in data connectors which makes it easy to scrape customer reviews and feedback data from a variety of ecommerce and social media sites. If you sell on Amazon, Home Depot, Lowe’s, Walmart, and other sites, you can process analysis jobs without having to do any programming. Data Visualization makes analysis easy, whether it is examining buzzwords, timeframes, filtering on segments, or seeing the major categories of comments. Visualization lets you direct your efforts to issues customers care about the most. If the customer data shows that Debit Cards and Teenagers generate the most inquiries, then that is a segment you should actively address.
If you have internal data you can easily upload a csv file into Signals and run ad-hoc analysis jobs. Again, no IT or data scientist required. Upload your internal data, process the Signals job, and see the data visualization breaking down the most important things customers are saying.
Bear in mind that all customer feedback data is useful. Negative data can be used to determine where to focus improvement efforts. If you can quickly respond to issues and improve the customer experience, your top line revenue will get a nice boost! You may learn that some data is just not useful to monitor regularly. Positive data is useful beyond confirming what you do well. Positive data can shed light on your best customers, best-selling products, and best ecommerce distribution methods. Ask yourself what makes a product or service so successful, and then consider this when planning new products and services. Perhaps the buyer is considering which products to stock for the fall season. Analyze sales of existing stock items, see what customers say, and adjust your buying plans accordingly.
Self-service analytics gives the analyst or Product Manager a real-time view of the customer experience. Examine user reviews on Amazon or Walmart. Analysis Facebook and Twitter comments. Upload a file of customer service emails or chat (see our blog post: Data Analytics on Chat Sessions). Upload survey data. No matter the data source, Signals lets the user quickly run their own queries,
An Easy Way to Get Started
Stratifyd Signals platform has a self-service individual user account which provides access to many built-in data connectors. You can easily analyze different customer data sources, and bring them together for side-by-side comparison. Our built-in data connectors to Walmart, Amazon, Home Depot, Lowe’s, Facebook, Twitter, Apple store, Gmail, Google Play, YouTube, Salesforce, Etsy, etc. make it easy to view external data sources. For internal data simply upload a CSV file and run ad-hoc analysis jobs.
Ready to begin? Ask us for a free trial of our platform and try self-service analytics for yourself.
Contact clientsupport@stratifyd.com
