2016 was supposed to be the year of conversational commerce. Chatbots were heralded as the new interaction model through which interactions between consumers and brands would be transformed.
Here at Qubit we’ve been known to discuss customer data - quantitative and qualitative - and the value that comes from analysing it.
A couple of weeks ago we released some research that explored 29 common treatments seen in ecommerce optimisation. Treatments ranged from simple adjustments, such as changing a button, to more complicated implementations like product recommendations.
If I had £1 for every time my team and I are asked about what drives the best results in optimization, I probably wouldn’t need to work at Qubit anymore. While we have always been able to give examples of high-performing experiences and innovative ideas, they’re only that: examples.
Big data - like customer data - and the application of machine learning to it can easily become abstract and daunting, but with a streamlined interface and careful data visualisation design, data analytics and personalization have become tangible, comprehensible and elegant.
Here at Qubit we work with some of the leading eGaming operators, and so we were very proud to have this recognised at the EGR B2B Awards on Tuesday (6th June 2017).
In this blog, I'll be addressing the topic of personalization: what it could mean for your online business, and how it can be incorporated into your business strategy painlessly with the right technology and a game plan in place.
As advertising becomes ever more targeted and online experiences more personalized, it’s increasingly difficult to succeed as a marketer without a deep understanding of how people make decisions.
No longer just science fiction, artificial intelligence could be the key to future retail success, as our latest research with Retail Week reveals. Read on to learn three reasons why from our CEO, Graham Cooke.