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Being effective as a data scientist means paying attention to the things that matter. That recipe means using your brain to pay attention, as a human, to what your customer, another human, needs. Just a like a great Waitress.
Read moreIn a previous post describing a simple approach to de-seasonalizing your data, I covered how marketers can examine, at a rough level, the impact of seasonality on metrics. Obviously, your data science team would be looking at this data in
Read moreI want to show you a technique to fix another common time-series problem: seasonality. The article will illustrate a fast and simple way to de-seasonalize your data.
Read moreThe Exponential Moving Average (“EMA”) is a very useful tool in your metrics arsenal because in the EMA the memory of past metrics values is never forgotten
Read more“Negative” metrics — You might prefer the term “Deoptimization Metrics”. Either way they can be just as important to your continuous optimization efforts as your positive ones. The purpose of a negative metric is to isolate for you the deleterious
Read more“I Before E, Except After C” — do you remember that from 4th grade spelling? Well, it works just as well when you’re concentrating on your metrics and optimization program. What do the letters mean? Read this entire article over
Read moreMany organizations get fixated on metrics data, without thinking of where it comes from. But what if your metrics indicate a problem which originates somewhere else?
Read more“Oh, What A Tangled Web We Weave, When First We Practice To {Self} Deceive” With apologies to Sir Walter Scott and my mangling of his most popular turn of phrase, I’d like to take some time now to discuss how
Read moreWhen is nothing worth something? Turns out, just about all the time. Whenever you look at your metrics consider that a metric is, in virtually every case, designed to measure a specific outcome. It may be a positive outcome, one
Read moreIn many ways, being effective online means paying attention to the things that matter. That recipe includes conversion, and analytics, and metrics — important ingredients, all — but it also means using your brain to pay attention, as a human,
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