This is a practical, conceptually sound attribution framework we have been developing with Mr. Tommi Salenius who is the Head of E-commerce in a fast-growing international e-commerce company. The point is this: >90% of e-commerce companies (just an educated guess based on our experience) solely rely on analytics to attribute sales to channels and campaigns. […]
Tag: analytics
All Forms of Analytics with Their Definitions
DISCLAIMER: This post was produced in collaboration with AI (ChatGPT-4, September 2023 version). The content has been verified by a human subject matter expert for veracity and relevance and modified where appropriate. There are many forms of ‘analytics’, like ‘web analytics’, ‘digital analytics’, and ‘marketing analytics’. Are these different forms of analytics all the same […]
Automatic Analytics: Considerations for Building User-Oriented Data Analytics Systems
This is an unpublished exploratory study we wrote with Professor Jim Jansen for Machine Learning and Data Analytics Symposium (MLDAS2018), held in Doha, Qatar. Change of landscape: For a long time, automation has been invading the field of marketing. Examples of marketing automation include the various scripts, rules, and software solutions that optimize pay-per-click spending, […]
Use Cases for Personas
This is a joint piece by Dr. Joni Salminen and Professor Jim Jansen. The authors are working on a system for automatic persona generation at the Qatar Computing Research Institute. The system is available online at https://persona.qcri.org. Introduction Personas are fictive characterizations of the core audience or customers of a company, introduced into software development and […]
Tips on Data Imputation From Machine Learning Experts
Missing values are a critical issue in statistics and machine learning (which is “advanced statistics”). Data imputation deals with ways to fill those missing values. Andriy Burkov made this statement a few days ago [1]: “The best way to fill a missing value of an attribute is to build a classifier (if the attribute is […]
Google Analytics: 21 Questions to Get Started
I was teaching a course called “Web & Mobile Analytics” at Aalto University back in 2015. As a part of that course, the students conducted an analytics audit for their chosen website. I’m sharing the list of questions I made for that audit, as it’s a useful list for getting to know Google Analytics. The […]
Simple methods for anomaly detection in e-commerce
Anomaly is a deviation from the expected value. The main challenges are: (a) how much the deviation should be to be classified as an anomaly, and (b) what time frame or subset of data should we examine. The simplest way to answer those questions is to use your marketer’s intuition. As an e-commerce manager, you […]
Platform metrics: Some ideas
I was chatting with Lauri [1] about platform research. I claimed that the research has not that many implications for real-world companies apart from the basic constructs of network effects, two-sidedness, tipping, marquee users, strategies such as envelopment, and of course many challenges, including chicken-and-egg problems, monetization dilemma, and remora’s curse (see my dissertation on […]
Digital analytics maturity model
Digital analytics maturity model: Concepts — here, focus on is on buzzwords and realization that “we should do something”. Tools — here, focus is on tools, i.e. “Let’s use this shiny new technology and it will solve all our problems.” Value — here, we finally focus on what matters: how will the tools and technologies […]
Argument: Personas lose to ‘audience of one’
Introduction. In this post, I’m exploring the usefulness of personas in digital analytics. At Qatar Computing Research Institute (QCRI), we have developed a system for automatic persona generation (APG) – see the demo. Under the leadership of Professor Jim Jansen, we’re constantly working to position this system toward the intersection of customer profiles, personas, and […]