A major personal care brand went through a relaunch of a leading product line. With such a major relaunch the big issue is always to track and analyze the consumers response with high enough granularity that allows quick and focused response to issues. Otherwise you just fall into the hype cycle. Luckily, this brand leveraged Revuze for ongoing, automated and granular analysis of its market, and with this it was able to recognize a major
According to IBM research, by 2020 US analyst and data jobs will grow 15% to an amazing 2.35 million positions. It seems the more data we generate there is a need for more people to make sense of it. What’s wrong with this picture? The more technology we have – better computers, more software options, smart machines – we still need more and more people? It’s no secret that understanding consumers today still relies on
According to a research by Gallup on Behavioral Economics, organizations that leverage customer behavioral insights outperform peers by 85 percent in sales growth and more than 25 percent in gross margin. These are impressive numbers that already provide great motivation to dig in and leverage internal data about the customers.   The challenge is which data sources to pick? As in modern life customers communicate on a wide range of channels. Just to list a few: Call
This is a story about sales of online counterfeits and how it damaged a world known CPG brand to the tune of $1.2M/month. In a recent report, the Commission on the Theft of American Intellectual Property says the annual losses from counterfeit goods cost the United States $29 billion to $41 billion a year. It is an amazingly large amount of money.   We mass production, affordable shipping and premium brands there’s a lot of motivation
In their efforts to understand their customers and consumers in general brands often focus on mining hot sources such as social media but often neglect mining internal data piling up on their servers.   Typically, brands collect customer/consumer opinions from various sources:   Call center Website forms (and sometime reviews) Open ended survey questions Chat Emails Stores (For retailers)   These sources can pile up to a good amount of data, and it’s a shame