Want to work with me? Post doc opportunities

Brunel University is supporting a number of applications for the Leverhulme Trust Early Career Fellowship. If successful, the candidates will be offered a 3-years post-doc position at Brunel University, to work on a particular research programme. If you want to take advantage of this opportunity and work with me – or any of my talented … Continue reading Want to work with me? Post doc opportunities

Which branded tweets get most retweets?

Researchers at Western Sydney University in Australia – Alena Soboleva, Suzan Burton, Girijasankar Mallik and Aila Khan – have analysed the characteristics of branded tweets that get the most retweets. They collected tweets posted by the leading brands in the automotive, the luxury and the fast moving consumer goods (FMCG) industries, and adjusted for factors … Continue reading Which branded tweets get most retweets?

Using wearables is all about control. And so is not using them.

The short video below presents two extreme cases of attitudes towards using wearables. On the one hand, we have Thomas who monitors multiple aspects of his daily life, from food intake to movement, and even built a wearable to track his sneezes. On the other hand, we have Emma, who firmly rejects using wearables even … Continue reading Using wearables is all about control. And so is not using them.

Emotion analysis for real time interactions

Emotions influence how we interpret situations, what we do, and even how we remember them. Thus, emotions are a very important driver of how consumers behave and why. Because of this importance, there has been a growth in the number of products that promise to scan online conversations (e.g., in social networks, or on product … Continue reading Emotion analysis for real time interactions

TED talk: blind faith in big data must end

Super interesting and short talk by Cathy O'Neil about What is an algorithm Why they are subjective, flawed and unfair How they can have disastrous effects in people’s lives How they perpetuate the past and historical discrimination Why they are so difficult to scrutinise And, thus, why we can not have blind faith in big … Continue reading TED talk: blind faith in big data must end

Huawei customers more likely to endorse the brand than Apple ones. So what?

Market research recently published by Globalwebindex shows that Huawei customers were the most likely, among technology users, to recommend the brand to others. Should competitors like Samsung or Apple worry?   No.   And why not?   Because when it comes to the impact of word of mouth on consumer behaviour volume of word mouth … Continue reading Huawei customers more likely to endorse the brand than Apple ones. So what?

July and August 2017 round-up

I wasn’t going to write a round-up post this month because, frankly, there isn’t much to show for the last 8 or so weeks. Or, at least, there isn’t as much as I wanted to. But, in the spirit of transparency that I try to bring to this blog, here is my modest summary of … Continue reading July and August 2017 round-up

Pitfalls to avoid when using hashtags in marketing campaigns

Last week marked the 10th anniversary of the Twitter hashtag, which consists of adding the hash symbol (#) to a word or phrase. The hashtag permeated popular culture as a way of organising conversations around a theme or event (e.g., #eclipse20017), or emphasising aspects of a conversation.   Unsurprisingly, marketers have jumped on the bandwagon, … Continue reading Pitfalls to avoid when using hashtags in marketing campaigns

Giving back to research participants

How can I give back to my research participants?   This is a question that has been in my mind, since I came across the transcript of a talk describing data collection as a gift exchange relationship. I have since lost the link to that talk*, but the main idea was that we should see data … Continue reading Giving back to research participants

Google autocomplete #2: Marketers are…

I don’t even remember why I entered ‘marketers are’ on Google’s search box, but I certainly have not forgotten the autocomplete suggestions that quickly followed:   And the autocomplete suggestions for ‘teachers’ and ‘academics’ are not much better:   I should have been a doctor. Oh, wait…   #CanNotWin #DoNotMakeCareerDecisionsBasedOnGoogle