Author Archives: Matt Gershoff
Big Data or Big Distraction
Contrary to what you have heard, the unfolding technological transformation we are witnessing isn’t really about data, not directly at any rate. It’s not that data isn’t important, but the focus on data is obscuring the real nature of change, which is the transition from a world driven by essentially static and reactive systems to [...]
Intelligent Agents: AB Testing, User Targeting, and Predictive Analytics
Whether you are in marketing, web analytics, data science, or even building a Lean Startup, you probably are on board with the importance of analytical decision-making. Go to any related conference, blog, meet up and you will hear at least one of the following terms: Optimization, AB & Multivariate Testing, Behavioral Targeting, Attribution, Predictive Analytics, [...]
List of Machine Learning and Data Science Resources – Part 2
This is a follow up to a post to the list of Machine Learning and Data Sciences resources I put up a little while ago. This post contains some links to resources on clustering and Reinforcement Learning that I didn’t get to in the first post. Like the first one, it’s a bit haphazard, and [...]
Posted in Testing and Data Science
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A List of Data Science and Machine Learning Resources
Every now and then I get asked for some help or for some pointers on a machine learning/data science topic. I tend respond with links to resources by folks that I consider to be experts in the topic area. Over time my list has gotten a little larger so I decided to put it all [...]
Posted in Analytics, Testing and Data Science, Uncategorized
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Decision Attribution for Multi-Touch Optimization
Right now online advertisers and marketers have a lot of interest in attribution analysis. Marketers are struggling to determine the impact of each individual campaign, across various channels, that make up their online marketing efforts. While they can discern the aggregate effects, it is much more difficult to disentangle the individual effectiveness from any given [...]
Conductrics’ Confidence and Lift Report – The Basics
While enabling Conductrics’ adaptive testing is a powerful way to auto-optimize your app, there are times when you might want to run non-adaptive tests. Maybe you want to test something that you will apply in other media, or perhaps you want to do online research on your customers, to give you additional insights into their [...]
Posted in Analytics, Conductrics API, Reporting, Testing and Data Science, Uncategorized
Tagged Reporting
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Bandit Optimization and Emetrics
This past week, I had the pleasure of getting to speak at Emetrics Stockholm. For those not aware, Emetrics is one of the largest digital analytics conferences, with local events in several locations throughout the year. It was my first time in Stockholm. It is an absolutely gorgeous city. Plus, if you like Scotch, you [...]
Posted in Analytics, Testing and Data Science, Travel
Tagged AB Testing, Bandits, Optimization
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New Release of Conductrics!
We are super excited to announce the release of our updated version of Conductrics! After getting feedback from both developers and digital analysts, we have given Conductrics a complete refresh. Here are a few of the major improvements: Faster The system has been optimized for speed, ensuring that mPath is superfast and can easily scale [...]
Balancing Earning with Learning: Bandits and Adaptive Optimization
While AB Testing is currently the default method for optimizing online conversions, there are frameworks other than AB testing for selecting between competing optimization options. One of the main alternative approaches is known as the Multi-Armed Bandits problem. Solutions to the so called bandit problems have several nice features that often make them a good [...]
