Big data, an unstoppable trend in electronic commerce
Big data, an unstoppable trend in electronic commerce
Today, electronic commerce has been introduced into the consumption habits of the population, being one of the sales channels that is growing the most. Among other reasons, thanks to the commitment of large companies such as Amazon, or in Spain El Corte Inglés, through this channel.
In such a competitive environment as electronic commerce, where the catalog is permanently exposed to users and is subject to exhaustive comparison, especially at the price level, large retailers look for ways to differentiate themselves from their competitors.
Until a few years ago these companies tried to differentiate themselves through exquisite customer service, lax return policies, or more commonly by trying to offer lower and lower prices to attract customers and once inside their store, encourage them to buy again through offers. and exclusive promotions.
For a few years and following the trail of Amazon, a pioneer in this sector, companies, even small ones, are beginning to use Big Data techniques to collect data from their users and offer them products and offers adapted to their needs. the concrete moment María Rodriguez from gangahogar.com an electronic commerce founded in 2008, and specialized in the sale of home products such as armchairs and sofas tells us about the big data techniques they use in their company.
"In gangahogar, we have been using Big Data for a long time in our sales process, following the path marked by Amazon.
We use third-party tools, which collect anonymous information on the user's behavior on our website to offer personalized recommendations of products that may interest you, or once you have left the page to offer tailored offers in advertising formats through remarketing companies .
We have also developed our own technology that, among other things, allows us to make intelligent pricing strategies based on the analysis of the behavior of our competitors, analyzing their novelties or increases and decreases in prices.
Combining both strategies, we can always offer the right product, at the best price, to the right customer. "
These types of strategies are increasingly used by companies of all sizes and set the trend to continue over the next few years. The recommendation algorithms are becoming more efficient and are able to anticipate our needs. By collecting constant information from our consumption habits, they can accurately predict when we are going to need to buy a specific product and move forward to offer it to us with a personalized offer. For example, if we have young children at home and we can estimate their age, it is possible to know that surely in September we will need schoolbooks and make an offer to buy them.
In fact, the last war between big technology companies like Apple, Amazon, Google and ultimately Telefónica, is to try to place a personal voice assistant in each house, to study our consumption habits, collect information about our routines and in this way be able through sophisticated algorithms to offer products that adapt to our life.
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SOURCE LINK ERESVIRAL.COM https://www.beviral.online
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