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Hello, my name is Justin and I am the founder of Harbor Island Analytics.

Harbor Island Analytics is focused on helping e-commerce operators more profitably leverage the behavioral data of their customers.

I believe that the better we are at using and understanding our data the better we are at maintaining longer lasting relationships with our customers and growing our businesses.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

I founded Harbor Island Analytics because I am passionate about discovering new insights hidden within data.  Our focus is simple: finding our clients valuable insights from their business’s data.

The amount of data available to businesses is overwhelming and as a result, decisions are still made based on intuition rather than fact (aka – statistically valid conclusions drawn from data).  The reasons behind this are simple: most companies face the problem of not enough available human resources, knowledge or time to spend.

This is where Harbor Island Analytics can help. I provide the human resources, knowledge and time for your analytics needs. My goal is to allow you to make the most informed, data driven decisions possible and build longer lasting relationships with your customers that will ultimately grow your business.

Specifically, I help my clients through an efficient analysis processes of Google Analytics data.  We can help measure and improve:

  • Web site layout and design
  • Marketing campaigns and promotional offers
  • Value of 3rd party tools and vendors

If you’re interested in working together, contact me today and let’s start with me performing a Site Review of your Google Analytics data.

 

 

 

 

 

I'm currently helping these companies and more just like them:

Ratio

Clive Coffee

Scottevest

Analysing your e-commerce funnel with R

Optimizing on-site or in-app sales is one of, if not the most, common problems in online retail.

My latest post explores various methods for analyzing e-commerce data with a very cool R package called ‘rga’ and addresses the issue of determining statistical significance across changes in customer’s behavior.

Click here to see the full post over at blog.yhat.com

checkout_conversion_rate_plot

 

Analysing your e-commerce funnel with R

Clustering of @plotlygraphs Twitter Followers

Plot Source:  https://plot.ly/~hianalytics/168

Plot.ly Profile:  https://plot.ly/~hianalytics/

This post was inspired by: http://www.r-bloggers.com/cluster-your-twitter-data-with-r-and-k-means/

 

Thanks for taking the time to check out my site.

Send me an email if you’d like to know more about who I am, what I do or if you’re interested in starting to work together through a Site Review of your Google Analytics data.

Looking forward to hearing from you!