Analyzing your audience’s web habits to improve website performance

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How much actionable information do you have about your web visitors? Can you predict their wants, goals, needs and behavior? Are you using analytic data to improve website performance? Do you utilize any re-targeting, ad networks, Search Engine Marketing (PPC and Display) and social media to be collecting data across multiple external sites and clickstreams? If so, the potential to deliver targeted content and offers based on their previous behavior and referring traffic source is possible.

You can construct detailed matrix that serve up content based on the family of sites they have visited and the predicted traits and interests that visitors to those sites demonstrate. However, if the first known point of contact with your visitors is their arrival at your site, then predicting their targeted area of interest is a much more tricky proposition, unless you study your own analytics and data (Sitecore, Webtrends, Quantcast, Google Analytics, etc) to come up with them and improve website performance.

Do you perform any A/B testing of two broader offers or content paths on your enterprise level site visitors and see which performs better (ie they look at more pages or end up as a conversion more often).  That is a good place to start, but more organizations have never consider split testing their own website. Doing this would ensure no audience gets excluded or misdirected–and it requires less historical data to drive the offer but allows you to profile how each “path” behaves.

Coming from purchased media like PPC or Facebook, can also shed light into keywords that have “special” needs to be effective, landing pages that get them to take desired actions and demographic profiles of who is visiting based on reporting. Again, this allows you the create a profile on each type of visitor and adjust the “path” accordingly – which will improve website performance .

You tie all of this data together to make the necessary changes to your website and content, navigation paths to drive more usability, click patterns, desired “conversions” that you have established for your website and/or campaigns.  Interpreting data is extremely important to ongoing web success – find a resource to work with that understands this to help set benchmarks and foundational strategy and it will help educate yourself and give you insights to things you could use across all mediums with your marketing and advertising.

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Posted in Marketing Strategy, Web Analytics, Web Development

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