Tag: analytics

Problems of standard attribution modelling

Attribution modelling is like digital magic. Introduction Wow, so I’m reading a great piece by Funk and Nabout (2015) [1]. They outline the main problems of attribution modelling. By “standard”, I refer to the commonly used method of attribution modelling, most commonly known from Google Analytics. Previously, I’ve addressed this issue in my digital marketing […]

Customers as a source of information: 4 risks

Introduction This post is based on Dr. Elina Jaakkola’s presentation “What is co-creation?” on 19th August, 2014. I will elaborate on some of the points she made in that presentation. Customer research, a sub-form of market research, serves the purpose of acquiring customer insight. Often, when pursuing information from consumers companies use surveys. Surveys, and usage of customers […]

Basic formulas for digital media planning

Planning makes happy people. Introduction Media planning, or campaign planning in general, requires you to set goal metrics, so that you are able to communicate the expected results to a client. In digital marketing, these are metrics like clicks, impressions, costs, etc. The actual planning process usually involves using estimates — that is, sophisticated guesses […]

A Few Interesting Digital Analytics Problems… (And Their Solutions)

Introduction Here’s a list of analytics problems I’ve devised for a class I was teaching a digital analytics course (Web & Mobile Analytics, Information Technology Program) at Aalto University in Helsinki. Some solutions to them are also considered. The problems Last click fallacy = taking only the last interaction into account when analayzing channel or campaign performance (a […]