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Digital Analytics

Analytics and Testing: Understanding statistics symbols and terminology for better data analysis

Diana Sindicich Oct 17, 2013 1
When you’re immersed in data on a daily basis, it becomes all too easy to forget that everyone is not fluent in statistical terminology. In today’s MarketingExperiments Blog post, I wanted to share three statistical concepts every marketer…
Digital Analytics

Web Tracking and Online Testing: Come to the dark side, we have cookies!

Diana Sindicich Aug 8, 2013 3
The placement of small data files called “cookies” on a visitor’s computer has long been a key tool in tracking our behavior across a website, keeping us logged into sites, and remembering who we are and what we like when we return. In this…

Analytics and Testing: An approach to the delicate balance of confidence and uncertainty

Diana Sindicich Jun 13, 2013 0
One of the challenges in interpreting results is the constant struggle between projecting confidence in the reliability of those results and a scientist’s obligation to portray limitations that exist. Read further to learn more about how…
A/B Testing

Marketing Optimization: How to design split tests and multi-factorial tests

Diana Sindicich Jan 23, 2012 5
After determining your research question and hypothesis, you must determine the route of testing you will take. This blog post explains how to design A/B split tests and multi-factorial tests, and how to decide the best one for your test.
Digital Analytics

Marketing Metrics: Why all numbers aren’t created equal

Diana Sindicich Jan 16, 2012 3
Researchers and statistical software packages classify variables into four main types: Nominal, Ordinal, Interval and Ratio. In this post, we describe each type of variable to help you understand how they should be used, let you know how…

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