Enterprises using Social Media To Predict Demand: PepsiCo

Reading Time: 5 minutes Consumer demand today changes faster than ever before. As a result, new product launches are failing at extremely high rates. After all, accurately assessing the market and predicting demand requires terabytes of data, which ranges from point-of-sale numbers, e-commerce transactions, out-of-stock histories, pricing averages, promotional planning, special events, weather patterns, and a many other factors. To add to that, most enterprises continue to ignore the significance of applying online consumer dialogue to predict future purchasing

PaveAI: Someone Finally Found Answers in Google Analytics!

Reading Time: 2 minutes For years we’ve struggled with both clients and professionals making poor decisions based on analytics. There are several shortcomings, especially with Google Analytics, that people aren’t often aware of: Fake Traffic – analytics traffic doesn’t include visits made by bots. The problem is that there are millions of bots out there that obscure their identity as a bot. They visit once for a brief moment, artificially increasing your bounce rates and reducing your time on

4 Ways that Big Data Applications Are Providing Results

Reading Time: < 1 minute According to this infographic from SingleGrain, . That’s a lot of data… but is it being utilized? Big data is a new term used to describe the growth and availability of large data sets which, when properly analyzed, can help make better business decisions, such as improving customer relations, developing new products, and enhancing overall business growth. SingleGrain provides 4 Ways that analytics are helping make sense of big data: Descriptive – explaining or describing

Predictive Marketing Analytics with ThinkVine

Reading Time: 2 minutes What would the Return on Investment be if you could change your marketing mix? This is a question that large customers with complex marketing strategies (that are balanced between a multitude of mediums) ask themselves every day. Should we drop radio for online? Should I shift marketing from television to search? What will the impact on my business be if I started marketing online? Typically, the answer comes through a myriad of testing and lost