Follow @BikerJaredThe phrase “big data” is used so often it’s almost trite. These days, nearly all large enterprises have established a data science or data integration practice that is used for analysis projects. In my experience, however, many smaller companies (or often smaller teams within large enterprises) have yet to adopt any sort of big data […]
Attribution Theory: Cross-Device Marketing Attribution with Apache Spark and R
Follow @TrevorHPaulsen Over my last few posts I’ve been focusing on how to do better marketing attribution using Adobe Analytics Data Feeds and Apache Spark coupled with R. You can read all about those attribution techniques here: Multi-Touch Attribution Using Adobe Analytics Data Feeds and R The Two Best Models for Algorithmic Marketing Attribution That said, […]
Attribution Theory: The Two Best Models for Algorithmic Marketing Attribution – Implemented in Apache Spark and R
Follow @TrevorHPaulsen In my last post, I illustrated methods for implementing rules-based multi-touch attribution models (such as first touch, last touch, linear, half-life time decay, and U-shaped) using Adobe Analytics Data Feeds, Apache Spark, and R. These models are indeed useful and appealing for analyzing the contribution any marketing channel has to overall conversions. However, they […]
Multi-Touch Attribution Using Adobe Analytics Data Feeds and R
Follow @TrevorHPaulsen One of the hottest topics in the digital marketing space has always been marketing attribution. If you’re unfamiliar with this problem space, (I’d be surprised, but) there are lots of excellent explanations out there including this one. In a nutshell, companies have a lot of marketing outlets – search, display ads, social networks, email, […]
How to Use Classifications With Adobe Analytics Data Feeds and R
Follow @TrevorHPaulsen Adobe Analytics Classifications is one of the most useful and popular features of Adobe Analytics, allowing you to upload meta-data to any eVar, prop, or campaign that you may be recording in Adobe Analytics. Classifications are useful when you need to do things like: Classify your marketing campaign tracking codes into their respective marketing […]
Using Secondary Sort to Enhance Adobe Data Feed Processing in Hadoop
In my last post, I described the basics for processing Adobe Analytics Click Stream Data Feeds using Hadoop. While the solutions outlined there will scale remarkably well, there is a more memory efficient way to do it. Having this flexibility is nice if you have lots of CPU cores available but not as much ram. […]
Introduction to Processing Click Stream Data Feeds with Hadoop and Map/Reduce
In an earlier post, Matt Moss showed how to process data feed data using an SQL database. This can be useful in a pinch when you have a smaller amount of data and need an answer quickly. What happens though when you now need to process the data at a large scale? For example, you […]
Marketing Mix Model for All: Using R for MMM
Understanding the ROI across all of your paid marketing channels is a top priority for senior-level executives across every industry and every geographical market. Getting a clear sense of the ROI on each channel allows companies to answer really important questions. For example: What will happen if I increase my Email spend by 20%? What […]
Propensity Scoring in Adobe Analytics Using Data Feeds and R
Follow @TrevorHPaulsen When I was a kid, my favorite TV gameshow was “The Price Is Right” – it’s flashy, fun, and to this day I still love watching it – that is except for one thing: the ads. I still find it obnoxious to be bombarded by annoying (and sometimes gross) TV ads about hemorrhoid […]
Using Adobe Analytics Data Feeds and SQL for Basic Reporting
Three DB SQL’s walk into a NOSQL bar. A little while later… they all walked out, because they couldn’t find a TABLE… Joking aside, online marketers frequently use analytics tools like Adobe Analytics, but find that the granularity and accessibility of the data in the tool doesn’t meet their needs. A few examples: Loading Adobe Analytics […]