Tag: analytics
How Data Convinced Netflix to Double Down on Adam Sandler
Back in 2014, Netflix signed Adam Sandler to a four movie deal worth $250 million. Even though only three of the four have been released so far, Netflix just offered him another four movies which puts his total contract at 8 movies for at least half a billion dollars. How and why has a successful production company with original content like House […]
On November 17, Mozilla announced the launch of a new browser for iOS, Firefox Focus — a free, mobile browser that privacy browsing front and center. Within seconds of downloading and launching, it’s easy to see Firefox Focus’ impact on web privacy. By default, Firefox Focus blocks all ad tracking software, all web-analytics software, and even […]
How to Calculate Impression Share
My last blog post took a look at calculating average position. Let’s now look at another instance where people make the dreaded “take the average of an average” mistake, calculating impression share. (See the average position post to learn more about averages of averages.) Again, let’s take a look at some dummy data. We have date, […]
Average Calculation in Tableau
There is a bit of misconception about how Tableau calculates average numbers. I have seen analysts struggle with this seemingly easy calculation. Let’s use Tableau Superstore data and calculate Average Sales by Weekday. The common way would be to drop the date into rows field and then use AVG Sales calculation, like below. The problem […]
When Snapchat announced its acquisition of Bitstrips in March for a reported $100 million, marketers began to envision the Bitmoji app, which lets users create personalized avatars of themselves, as a step out of the comparatively murky waters of advertising on the social platform. Last week, Snapchat rolled out the update to its more than 150 […]
How to Calculate Average Position
I’ve been asked more times than I can remember, “How do you calculate the real average position?” The good news is that everyone asking realizes that taking an average of an average will get you in trouble. The bad news is they still don’t know how to actually calculate the true average position. In this post, […]
Google’s Causal Impact: Part 2 – Caution
Here it is. The highly anticipated second and final installment of my two-part series on Google’s Causal Impact R package. Please try to control your excitement. In part 1, we took a general look at how the package helps marketers measure incrementality and ran through a quick toy example. Here’s a quick refresher on the […]
People Analytics
In recent years data exploration has become an integral part of all major sports with teams hiring a number of statistical specialists. What can your company learn from these recent trends in athletic performance evaluations?
Google’s Causal Impact: Part 1 – Intro
Incrementality. It’s one of the toughest things to tackle in digital analytics. “How many incremental conversions did that branding campaign drive?” “How many additional clicks did we drive by implementing that new Adwords feature?” The most common solution is a simple lift analysis: calculate the difference between the average conversions before and after the intervention. […]
Google Announces Analytics 360 Suite
On March 15th, Google announced the launch of a new enterprise-oriented marketing analytics products combined into one unified platform: Google Analytics 360 Suite. The announcement was made by Vice President of Analytics, Display, and Video Products, Paul Muret. He wrote on the Google Inside Adwords blog: “Several years ago, Google engineers set out to simplify marketing analytics […]
