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Tag: analytics

April 18, 2018
Posted by Preston Smith

“How Much Should We Spend?” – A Diminishing Returns Analysis

At PMG, data and technology are at the heart of everything we do. So, when our clients ask us “How much we should be spending?”, we typically start with a data-driven approach. After some research, we decided to pursue the idea of calculating the point of diminishing returns to answer such a question. When will […]

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April 09, 2018
Posted by Maddie Owen

ICYMI: WTH Is Blockchain?

PMG’s head of product strategy and new ventures, Dustin Engel, recently gave an ANA webinar about blockchain and its relevance to marketers. Dustin touched on why it’s okay for marketers to get excited about the hype, and how blockchain technology can positively impact the advertising industry over the next two years. For more, check out […]

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April 17, 2017
Posted by Katie Friedman

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 […]

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December 09, 2016
Posted by Jonathan Hunt

Meet Firefox Focus – The Browser That Blocks Ads, Analytics, & Content

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 […]

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November 09, 2016
Posted by Preston Smith

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, […]

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September 27, 2016
Posted by Val Karkauskas

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 […]

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July 25, 2016
Posted by Beth McNamara

Bitmoji + Snapchat…and the Implications for Digital Marketing

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 […]

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June 07, 2016
Posted by Preston Smith

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, […]

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May 23, 2016
Posted by Preston Smith

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 […]

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May 07, 2016
Posted by Val Karkauskas

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?

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