March 6, 2009
Data Analysis: More Ways to Slice and Dice
By: Amber Naslund
Powerful data analysis means the ability to segment, sort, and filter data in any number of ways, to any level of granularity at a click. The Topic Analysis Widget (formerly called the Comparative Topic Monitor) now provides you with new metrics and enhanced segmenting capabilities to take your analysis to deeper levels.
Enhanced Segmentation
Now, build your Topic Analysis widget using a selection of keywords, or choose to graph and display results from your entire topic profile. Click on your bar or pie chart (or a keyword segment) and use the menu at the top to segment those results again by language, region, media type, sentiment, engagement level, source tag, or post tag. Keep segmenting your results again by a new metric to drill down into greater and greater detail.
Conversation Metrics
You can also sort your Topic Analysis results by eight different conversation metrics that demonstrate the discussion and engagement around your topic or keywords including:
• number of posts
• comment count
• view count
• vote count
• Twitter followers
• on topic inbound links
• total inbound links
• number of unique sources
Want to know which keywords or topics generate the most commenting activity? Which blog post generated the most Twitter impressions? Now you can see the buzz around your topics at a glance, and even set up As It Happens email and IM alerts for even the narrowest slices of your data to keep a close watch on the segments that matter most to you.
Have questions about any of the new features? Reach out to our customer support team and learn about what’s new and how to make it work for you.
For companies that consist of different brands and divisions, customer data is invariably scattered across the organisation within different legacy systems and often comprises numerous different fields and formats. Analytics Tools, like Cequity ACE™ are able to consolidate and merge this data into a ‘single view of customers’ with a consistent format making it easily accessible and functional for a variety of marketing purposes.
For example, if a customer holds more than one product with different subsidiary companies or brands within a corporate group, each separate piece of information held on by this customer can be amalgamated into a ‘single view’ of that customer, highlighting the combined product portfolio, enabling marketers to make the most of the intelligence held.