I’d say 70% of marketing campaigns have little to no real effect. Most certainly they don’t have a positive return in hard currency. Yet, most marketers spend their time running around, planning all sorts of campaigns and competitions people couldn’t care less of. They are professional producers of spam, where in fact they should be […]
Tag: research
On online debates: fundamental differences
Back in the day, they knew how to debate. Introduction. Here’s a thought, or argument: Most online disputes can be traced back to differences of premises. I’m observing this time and time again: two people disagree, but fail to see why. Each party believes they are right, and so they keep on debating; it’s like […]
What is a “neutral algorithm”?
1. Introduction Earlier today, I had a brief exchange of tweets with @jonathanstray about algorithms. It started from his tweet: Perhaps the biggest technical problem in making fair algorithms is this: if they are designed to learn what humans do, they will. To which I replied: Yes, and that’s why learning is not the way […]
Belief systems and human action
What people believe, sometimes because real because of that. 1. Introduction. People are driven by beliefs and assumptions. We all make assumptions and use simplified thinking to cope with complexities of daily life. These include stereotypes, heuristical decision-making, and many forms of cognitive biases we’re all subject to. Because information individuals have is inherently limited […]
Quick note: Measurement of brand advertising
Two brands colliding. Hm, I’m thinking (therefore, I am a digital marketer). The classical advertising question has been: How to measure the impact of advertising on a brand? And then the answer has been “oh, you can’t”, or “it’s difficult”, or something along those lines. But, they say, it is there! The marketers’ argument for […]
Negative tipping and Facebook: Warning signs
This Inc article states a very big danger for Facebook: http://www.inc.com/jeff-bercovici/facebook-sharing-crisis.html It is widely established in platform theory that reaching a negative tipping point can destroy a platform. Negative tipping is essentially the reverse of positive tipping — instead of gaining momentum, the platforms starts quickly losing it. There are two dimensions I want to look […]
Qualitative Analysis With NVivo – Essential Features
This post explains the use of NVivo software package for analysis of qualitative data. It focuses on four aspects: coding categorization relationships comparison of background variables First, coding. This is simply giving names to phenomena observed in the material. It’s a process of abstraction and conceptualization, i.e. making the rich qualitative material more easily approachable by […]
Google and the Prospect of Programmatic
Introduction This is a short post taking a stance on programmatic ad platforms. It’s based on one single premise: Digital convergence will lead into a situation where all ad spend, not only digital, will be managed through self-service, open ad platforms that operate based on auction principles There are several reasons as to why this […]
The Vishnu Effect of Startups (creators/destroyers of jobs)
Background In the Hindi scripture there is a famous passage in which the god Vishnu describes himself as death; to Westerners this is mostly known through Oppenheimer’s citation: “Now, I am become Death, the destroyer of worlds.” But, there is another god in Hinduism, Brahma, that is the creator of the universe. How does this relate […]
The Basics of Dilemmas
Introduction By definition, a dilemma is a trade-off situation in which there are two choices, each leading to a negative outcome. General solution A general solution, then, is to weigh the outcomes and compare them against one another. For example: choice A: -1 choice B: -2 In this example, choice A has smaller negative effect, […]