Which-50 Irregular Insights, August 15, 2016 - marketing hype cycles
Zooming Out – Gartner’s 2016 Hype Cycle for Digital Marketing and Advertising
Hype, by definition should make us all a little wary. Gartner Hype Cycles are designed to help sift, sort and qualify hype and manage our attraction to all those bright shiny marketing objects. The ultimate aim is to support decisions on where your valuable attention and marketing resources should be directed.
Opinion – About that whole Census debacle
My 11-year-old son recently implemented IP spoofing so he could hunt for Pokémon on Santa Monica Pier, roughly 12,000km away, from the comfort of his bedroom.*
In the long term, first movers will win a pricing advantage on mobile says Amobee MD
For all the talk of the rapid rise of mobile marketing, the truth is a little more sanguine according to those at the front line. Concerns over cost per click and a lack of internal capabilities are holding many brands back.
Social dominates down under as digital reshapes media habits
For the first time social reviews and recommendations have outstripped TV advertising in terms of their influence on buying decisions according to a new study by Deloitte.
Marketing Technology’s Top Priority
It was an Emperor’s New Clothes marketing technology moment in classroom. “If marketers are spending unprecedented shares of their budgets on all this advanced technology,” the student was asking, “then why do so many of the messages and ads I get still seem so…irrelevant?”
Overcome confusion over programmatic responsibilities, says Sizmek
Marketers who combine programmatic media targeting with dynamic creative optimisation (DCO) generally get the best performance, however there’s a problem.
REA Group profits up 20 per cent
REA Group, the company in charge of leading property portal realestate.com.au, has posted a 20 per cent full-year profit increase due to strong revenue growth in the Australian and Asian markets.
Generative Neural Networks Explained
Deep generative models are a powerful approach to unsupervised and semi-supervised learning where the goal is to discover the hidden structure within data without relying on external labels. Traditional Machine Learning (ML) is mostly discriminative – the goal being to discover a map from inputs to outputs, like image pixels to object names presented in it.
Global Retail Study: Aussies Protective Of Data, Seek The Opinion Of Friends
A global retail study has found Australians are very nervous about their data privacy, regularly use tech devices when we’re out shopping, and value the opinion of friends and family before making a purchasing decision.
Facebook hopes to dent adblocking with greater user controls
Adblocking has surged in recent years, threatening the business models of social and media companies which rely on advertising for support.