With an established database of tens of thousands of products and services for comparative or competitive analysis, market segmentation such as "people who bought a product like XYZ" is now practical, fast and affordable. The need to think up keywords and phrases, verify them, and train the software to search and analyze is gone. Results are not only available overnight, they’re more reflective of customer opinion than traditional text analytics methods.

Since the focus is on the customer experience instead of a product, insight is gained on the attributes of the product that are important to the customers. With this new insight, product planning, sales forecasting and life cycle monitoring become more credible and reliable.

Why did a comparative product succeed or fail? What features did the manufacturer invest money in that failed to make an impact on customers? Customer experience is more than results gleaned from analysis of a collection of keywords and phrases. Amplified Analytics is engineered to learn what attributes of a product are important to the customer. Analysis doesn’t require thinking of potential keywords, linking words into phrases, testing them and then teaching the system ways to analyze the data. Tens of thousands of products have already been analyzed and customer opinions verified. In choosing from these products, referencing current customer content and a historical database of millions of customer generated comments, an insightful market report is less than 24 hours away.

Isolate the reasons certain items in a product line are beneficial or detrimental to the overall brand. Tens of thousands of cataloged items, both comparative and competitive, and insightful customer content offer insight on customer opinion. No surveys, keywords, phrases, software training or weeks of waiting are required to learn more about your or your competitors’ brands. Results are overnight.

Advertising can help sell good products. Customer acceptance builds great brands.

Discover the competitive position of a product reputation within its category and zoom in on filtered verbatim access to learn the root cause of specific scores. Product Reputation measures the difference between customer expectations and their actual experience with the product. We compare these products using a common methodology of measuring their Functionality, Reliability and Support reputations