How Customer-Centric Analytics Will Change the Future of Marketing Read more: http://blog.hubspot.com/blog/tabid/6307/bid/30942/How-Customer-Centric-Analytics-Will-Change-the-Future-of-Marketing.aspx#ixzz1k6Wt5XMY

Hubspotblog reporting:
We have no qualms about beating the following concept into the ground, which is why you've likely heard us say it before: Analytics are critically important to inbound marketing success. Measuring and analyzing the performance of every inbound marketing channel you use to drive traffic, generate leads, and convert those leads into customers—then making adjustments to your marketing strategy and tactics based on the insights you glean from them—is what separates good inbound marketing from truly remarkable inbound marketing.
So if you're leaning toward the side of remarkable inbound marketing, you likely have some type of marketing analytics tool in place to track and measure how your marketing programs are performing. And that's all well and good, but there's a deficiency in many of these analytics platforms.
So exactly what is missing from most analytics tools these days? A canonical identity. 
Putting the Person at the Heart of Analytics 
The biggest thing missing from many present-day analytics solutions is the customer. While it's great to have aggregate data—like overall number of page views, leads, etc.—it's also important to remember that an individual view or lead represents an actual person. When you take this person-centric approach, you can go back in time and look at every interaction that an individual person took.

The Role of Cohort Analytics

It's easy to see why person-centric analytics are a huge advantage, especially for companies whose marketing and sales teams are very closely tied together. However, to make truly useful strategic decisions, what businesses really need are cohort analytics.
This is not to be confused with aggregate data or basic segmentation. Cohort analytics let you focus on a group of people who shared a particular experience at a specific point in time. In other words, you can then compare your visitors who saw Campaign A in January to those who saw it in February, all while ignoring those who saw Campaign B or C.
Even better, with person-level analytics, you can identify customer personas to help you find out what marketing tactics work well for each persona. For instance, you'll be able to see that people like Robbie respond better to email campaigns, while people like Joe convert better through social media.

The Future of Analytics Is Integrated

The two concepts above are patterns that other analytics products are likely to follow very soon. Kissmetrics has already started to adopt the canonical identity stuff, and Google is making headway on cohorts. However, an analytics product, on its own, isn't going to be enough to give you all the answers you want. For example neither Kissmetrics nor Google can give you good conversion data on the entire history of an A/B tested landing page, which will have variations starting and stopping at different times. As that gets more complex, it'll become nearly impossible for those analytics products to keep track of your cohorts without being deeply integrated with your CMS.

Read more: http://blog.hubspot.com/blog/tabid/6307/bid/30942/How-Customer-Centric-Analytics-Will-Change-the-Future-of-Marketing.aspx#ixzz1k6XIju9w