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Web Data Mining

Web Data Mining

Web data mining is a technique to collect information from web resource only which enables a company to get access on right path of marketing, understanding market dynamics, proper promotional initiatives, competitor’s behavior, etc.

In present time the usability of web data mining has become more popular in the range of marketing research and for the case of pharmaceutical analysis, this method is serving to acquire entire knowledge on medical industries.

How does it work?

  • There is an enormous store of data on the internet related to search patterns, website activity and demographics, and previous marketing efforts – both in advertising data and in ongoing social campaigns.
  • Web data mining uses modern web research tools to investigate and identify key patterns on the web.
  • Using this data, we can produce a detailed report that includes information related to the traffic on a website, its conversion rates, activations and revenue impact, and then present key findings related to how we think the site can best be improved and how to achieve higher numbers across the board.
  • We can also provide path exploration data, digging into the analytics for any one search query and tracking the path taken by a visitor not only to reach that page, but also after they reach that page. This data helps us identify pain-points, features that are lacking from the site or other bottlenecks that might cause problems.

What does it actually produce?

This collection of information is used to gain knowledge and based on the findings and analysis of the information make predictions which would be the best choice and the right approach to move toward on a particular issue.

We use the following tools and methods to ensure that we gather not only the best data, but also the most useful for your needs:

Keyword Search Trends: We can identify the most popular search terms in a single field or across multiple verticals, as well as long tail search queries and those that might be affective in a marketing campaign.

Correspondence Analysis: Using key social indicators and industry resources, we determine what features, brands and products are being discussed and how they are being compared to one another.

Influencer Analysis: We look for data related to key influencers in your field and how what they say impacts the overall reception of a product or brand. With this data we can then develop intervention plans to increase the response on multiple channels.