Discover how integrating ChatGPT and R for automating analytics data quality checks can streamline your analytics process, ensuring reliable insights for informed decision-making. Follow this step-by-step guide to improve data quality and save time with this innovative approach.
Tag: r
How to Create Alerts for Adobe Analytics Using R and Slack
Intelligent alerting has been one of the most popular features of Adobe Analytics since its release years ago. It’s impossible to keep an eye on your data 24/7, and alerts are an excellent way to prevent missing out on important trends in your metrics over time. And while there are lots of amazing things you […]
Customer Journey Analytics and R: How to Escape SQL Hell With cjar
In my last post, I illustrated how to use R with the Adobe Experience Platform (AEP) Query Service to query your raw data with analysis-supercharging tools like dbplyr without having to know any SQL. While I’m a big fanboy of R and dbplyr, if I’m honest, there are some things that SQL and dbplyr just […]
Build Your Own Cross-Device Marketing Attribution with Apache Spark and R
Follow @trevorwithdata 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 @trevorwithdata 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 @trevorwithdata 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 @trevorwithdata 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 […]
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 […]
Importing Statistical Models from R into Adobe Analytics Using Customer Attributes
Follow @trevorwithdata One of the most common problems I hear from data scientists is that it’s incredibly difficult to make a statistical model useful to an entire organization. Oftentimes, a skilled data scientist will build an awesome model and do some amazing analysis, only to have it wind up in some Power Point presentation that […]
How to Setup sparklyr: An R Interface for Apache Spark
Follow @trevorwithdata If you haven’t heard of Apache Spark yet, I’d be pretty surprised. It’s an amazing open source project that’s changing the way people think about processing big data. That said, in my opinion it has never been super accessible to those of us data enthusiasts who aren’t Java application engineers – that is until […]