
Deep learning vs. machine learning the difference
An expert analysis of Deep learning vs. machine learning the for ecommerce customer behaviour, product relevance and measurable revenue growth.

An expert analysis of Deep learning vs. machine learning the for ecommerce customer behaviour, product relevance and measurable revenue growth.

An expert analysis of Why hyper-personalisation in fashion for ecommerce customer behaviour, product relevance and measurable revenue growth.

Driven by technological advances such as artificial intelligence and changing consumer expectations, companies are facing new opportunities and challenges. Ecommerce is flourishing, but competition is

An expert analysis of Stop focusing on loyalty and start thinking for ecommerce customer behaviour, product relevance and measurable revenue growth.

generative AI personalization: Email personalization is an area where generative AI can play a significant role in enhancing the customer experience. By leveraging advanced natural

After an unprecedented increase in retail spending online in 2020, a much needed profitable growth, ecommerce penetration across all categories continues to blossom. Online sales in

The goal of any ecommerce business is clear: as you draw your target audience to your website, you want to simultaneously convert them into customers.

People receive dozens of emails every single day, but only a small fraction of those are actually opened. So how do you make sure your

Personal data is now on the consumer’s terms, we knew it was coming. Today’s brands face a tough task, to drive continuous improvements in marketing

Predictive Personalisation: One in five customers has abandoned purchases because no one answered their inquiry. A third of customers encountered technical problems in placing orders.

autonomy: Hyper-personalisation of communications and websites – whether recommending products, search engine results, news or advertisements – are becoming increasingly prevalent. Employing software that does

This is a fascinating insight from Deloitte into how hyper-personalising the consumer experience using data empowers ecommerce retailers, provided they know how to use it.

Hyper-personalisation is the most advanced form of micro-marketing, as it chases the ultimate goal, maximising the return from each consumer. If you search the term

hyper-personalisation software: Predictive personalisation software which has been around for a few years, has now been replaced by AI machine learning hyper-personalisation but has begun

Consider your daily life as a customer: you do not want to be bothered with irrelevant coupons, emails, or texts, but you do want to be informed

email personalisation: To understand the goal you need to know the rewards. Both McKinsey and Statista‘s research establishes that employing hyper-personalisation delivers as much as 20x (twenty times)

Identifying how much personalisation to offer – and to whom – will separate winners from losers. More than 70% of customers now expect more personalised

An expert analysis of What customers want from marketing emails for ecommerce customer behaviour, product relevance and measurable revenue growth.

Perfecting both omnichannel retail and hyper-personalisation is no small task for retailers, yet despite the many challenges they’ve faced, some have thrived in a new era of ecommerce. To

Hyper-personalisation offers the biggest bang for your marketing buck. Not only will it open up new ways to boost revenue and conversions, and to acquire

An expert analysis of Hyper-personalisation the future of CX for ecommerce customer behaviour, product relevance and measurable revenue growth.

Performance marketers today face a conundrum. On the one hand, you’re tasked with creating marketing campaigns that appeal to wide—and sometimes very different—groups of prospects.

The goal of any ecommerce business is clear: as you draw your target audience to your website, you want to simultaneously convert them into customers.

Customer lifetime value, or CLV, is a marketing metric that predicts the total worth of a customer to a business throughout their entire relationship. In