Recommender systems are one of the latest additions to the long list of marketing ploys made available by technology. These are basically algorithms which provide the consumer recommendations for products that are similar to their choices. Recommendation systems are widely used by websites such as Netflix or Amazon, and they have a huge impact on the consumer sales. Here are some of the ways that recommender systems are changing the various trends in consumer marketing:
The first step towards a consumer buying a certain product is the consumer finding out about it. In case of online products, this happens via search and if the description of the product contains the keywords of the search, it will appear in the results and will be placed in the list as per its popularity. However, with the introduction of recommender systems, it is seen that this model of placing keywords within the description has turned redundant and most people are going from one product to another through the process of recommendation tabs within the website.
- Product Bundles
The goal is no longer to guess what a consumer wants to buy, but rather what could they want to buy next. If someone has just bought a pair of shoes, a recommender system will not only show them other shoes, but also a pair of socks and shoe polish. So, through the use of recommender systems the chances of selling products that are supplementary to the initial product are made possible, and thus the marketing ploy turns to place products as bundles, all linked with one another.
- A Much Bigger Choice
Before the introduction of recommender systems across various websites, consumers had to search for each product separately and go through the list to find what they needed. If a customer searched for shoes they would be shown a list of shoes from where they would pick one. But with recommender systems in place, they can select a shoe and they would automatically be shown another list of shoes which are similar in branding or style to this shoe. This second list would in all probability be absolutely different from the first list presented to the customer and thus the number of choices presented to the consumer is increased manifold.
These are some of the primary examples of how the world of consumer marketing is facing changes ever since the introduction of recommender systems.
Choose Flatworld Solutions for Effective Recommender System Development
Recommender systems are under constant renovation so that the process of analyzing the consumer’s choices can be made better and can, therefore, provide a better shopping experience. To better understand how a good recommender system works you can check out our website and services for the same. Flatworld Solutions has been a pioneer in providing effective recommender systems and a plethora of other data science services. Our recommender systems use highly instinctive algorithms and can fit in easily into any ecommerce website or app. Get in touch with us today!
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