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Tag: analytics

Design Ideas for MMM SaaS Platforms

Some ideas on directions toward which Marketing Mix Modeling Software-as-a-Service Platforms should be developed: So, an MMM SaaS tool should not only observe but it should actively suggest and, if suggested policy is accepted by the human manager, implement it in the ad platforms! I think this step from observations to interventions is necessary to unleash the potential of MMM.

The Triangulated Attribution Model

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. Analytics can be based on…

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 or do they actually have…

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This is an unpublished exploratory study we wrote with Professor Jim Jansen for Machine Learning and Data Analytics Symposium (MLDAS2018), held in Doha, Qatar.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, machine learning techniques utilized in…

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 marketing in the 1990s (see…

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 binary) or a regressor (if…

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 startup dilemmas for more insights…