Some technological trends
Social media is changing the world (and I recently shared some thoughts here) but, despite the time we spend on the supercomputers in our pockets, the quality of the experiences we see there isn’t as good as it could be.
Black Friday is just two months away and the stakes are especially high this year. As retailers put the finishing touches to their peak trading strategies, it’s important to keep in mind that discounts alone aren’t enough to make last year’s customers come back. Instead, customer experience has become the deciding factor to success.
Our research backs this up. We found that customer loyalty is at an all-time low: 84% of consumers would consider switching away from the shops they usually buy from, and 81% would switch to shops that offer a better service1. Retailers who fall behind on customer experience stand to lose out not only on revenue and new customers, but they also risk losing existing customers to the competition.
I’ve been asked to write a blog about personalization - and how machine learning¹ serves personalization. But what I actually want to write about is rather different, at least at first.
I want to talk to you about shopping. Specifically, sari shopping.
Social media has changed the world - and our personal lives.
Social media dominates our digital space - it keeps us busy by passively exposing us to curated and personalized streams of content - on demand, at any time.
Given that number crunching and prediction are so core to eGaming companies’ trading success, it is no surprise that operators have applied the data-driven ethos to their conversion and retention strategies.
In June 2017 we released the culmination of 4 years research into what works when it comes to optimization and personalization treatments. The story of this research is the story of website optimization itself — how it has evolved over time, from UX and cosmetic changes, to conversion rate optimization (CRO), and in 2017 toward persuasive personalization at scale.
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.