Predicting the Holidays: Analyzing Competitor Holiday Trends

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This post was originally published on the Quad Analytix blog. “Those who fail to learn from history are doomed to repeat it.” But the inverse can also be true: those who study the past can profit from it. As the holiday shopping season begins, retailers large and small are looking to meet and surpass sales expectations for the year. E-commerce sales revenue for the 2016 holiday season is expected to reach almost $95 billion. There’s no oracle that can tell…

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Brand Protection: Staying on the MAP

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*Originally published on the Quad Analytix Blog Brands invest a lot of time, money and effort into crafting a narrative for their identities. Branding agencies, advertising agencies and internal marketing departments work hard to make sure the story being told is one that entices customers. Part of that story is pricing. Customers mentally attach certain intrinsic values to the price of a product. Higher prices are equated with higher quality, even at the lowest echelons. Consider the common wisdom of never ordering…

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The 4 Biggest Pricing Mistakes Online Retailers Make and How to Avoid Them

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*Originally published on the Quad Analytix Blog While retailers are increasingly investing in solutions to solve their pricing challenges, even the most experienced online retailers can fall victim to common mistakes. Here are 4 of the most surprisingly common mistakes that retailers make and how to avoid them: Working with inaccurate or incomplete data Cause Retailers are repricing more frequently than ever, with Amazon repricing as often as every 10 minutes. If you’re collecting data at a low frequency, you could be…

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Transforming Web Data from Unstructured to Structured

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*Originally published on the Quad Analytix Blog At first blush, it seems like data analytics is simply collecting and analyzing loads of information, but there’s actually a lot that happens in between. There’s a whole progression to it: on a broad level, the data analytics workflow generally follows a process called ETL (Extract, Transform, Load), where data is… Extracted—in our case, obtained from various retail websites Transformed—cleaned, normalized, checked for accuracy and consistency to get the data into analyzable form Loaded into…

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Top 5 Ways Online Retailers Can Use Competitive Intelligence to Drive Value

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Mining for data is a great way to get ahead of the competition. The task of mining can be a lot of work, but the effort is worthwhile. But what do you do with the information once it’s in your hands? You don’t want to be like a dog chasing its own tail, so determine a specific end goal to make the most of your data mining endeavors. Unlocking a goldmine of data can do wonders for your business, but…

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