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BloomReach Makes Content More Relevant With Big Data

Dr Mark van Rijmenam / 3 min read.
January 3, 2013
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Company BloomReach
Address 82 Pioneer Way Mountain View, CA 94041 USA
Founders Raj De Datta & Ashutosh Garg
Founded March 2009
Funding $ 41 million
Employees 90
Website www.Bloomreach.com
Rating 7 bits

Every day thousands of new domain names are registered and this means that every day new competitors arise in the already busy online field. This makes it for businesses who want to reach their customers more difficult to get noticed. Furthermore, in the past users would enter websites just via the front door or the homepage of a website.

Nowadays, users can enter a website from many different angles making it even more difficult to properly reach and target customers. BloomReach claims to have the solution to this problem as they have developed a tool to help companies get found better than their competition and be more relevant when a visitor enters the website, regardless of the entry point.

BloomReach does this using big data marketing applications to make the most relevant products or services of websites easier to find thereby offering a better user experience. BloomReach technology, the Web Relevance Engine, supplements efforts related to Search Engine optimization by stressing existing content on a website and making it more easy to crawl by search spiders thereby increasing the quality of every page and the website overall.


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Their Web Relevance Engine crawls websites and consumer queries capturing data such as web analytics, product feeds, social media streams but also competitor website data. All this data is analysed and interpreted by the machine-learning algorithm to deliver relationships among all web pages and consumer interactions, resulting in a relevance score, which is used to maximize the quality of the content and the metrics. The Site optimizer then again provides optimization suggestions to create the best user experience. Using search, query language modelling, machine learning, and web analytics, the Web Relevance Engine also matches web content with actual user queries to become easier to find and more relevant.

You can call this SEO tactics on steroids and it is especially useful for companies who offer thousands of products and who want to be relevant and easier to find for each one of them.

The good part is that companies can try it out without any risk as they have a pay-for-performance business model. However, the downside of this business model is that when customers stop using BloomReach the benefits will stop as well, thus being only a temporary solution. BloomReach however claims that clients see almost immediately an increase in traffic and conversion, which is remarkable to say the least as SEO measures normally take some time to have an effect. This is possible because no matter how a visitor enters a website, the content he sees will be more relevant to him, which also has an impact on SEO of course.

BloomReach is an interesting big data startup to watch for in the coming years, especially because the competitions in the industries it operates becomes harder for e-commerce companies in the coming years. This was also noticed by the industry as it has been awarded several honors, including a silver Stevie award in the new product or service of the year in the software cloud platform category. Therefore, we give BloomReach a 7 Bits rating.  

Categories: Big Data
Tags: Data, rating, review, startups

About Dr Mark van Rijmenam

Dr Mark van Rijmenam, CSP is a leading strategic futurist keynote speaker who thinks about how technology changes organisations, society and the metaverse. He is known as The Digital Speaker, and he is a 5x author and entrepreneur.

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