How can 8 people handle product returns of 5,000 product lines?

With the incredible ease of online shopping comes a huge retail and CPG problem – a growing rate of returned products. It’s not uncommon to see return rates of 30% or more for merchandise that’s bought online. Clothing returns can be around the 40% mark. In total, Americans returned $260 billion!!! in merchandise to retailers last year, or 8% of all purchases, according to the National Retail Federation. That 8%…

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New research report – The pros and cons of incentivized reviews

There’s a new Revuze research report in town! Comparing incentivized reviews to non-incentivized ones to highlight the differences in score and content that you get from each. Below are some of the report highlights and to read the full report just contact us. Enjoy:   According to a recent research 97 percent of customers said they had read reviews in 2017. This is no secret that online reviews are skyrocketing…

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Why text analytics and NLP are NOT the answer?

With 90% of the world’s data created in the last 2 years the world data is growing at a scary pace…there are so many ways now for consumers to share data and information that organizations everywhere need to analyze and deal with textual data. Obvious examples are customer service (returns, complaints), QA (failures, missing parts, packaging), product (popular features, negative reviews, competitive analysis) and market research (analyzing brands, products and…

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90% of the data was created recently

Market Research in a world where 90% of the data was created recently According to a recent report by IBM’s Marketing Cloud,  90% of the world’s data was created in the last 2 years!!! Isn’t it amazing? The world had grown 10X in data in 730 days at a rate of 2.5 quintillion bytes of data a day!…there are so many implications for this – where do you save all…

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Market research without (human) limits

According to a recent IBM research by 2020  US analyst and data jobs will grow 15% to a whopping 2.35M positions! It seems the more data there is we need more people to handle the data, especially market data. Isn’t something wrong with this picture? The more technology we have, better computers, more software options, smart machines – we still need more and more people? What do we need in…

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