Creating a marketing strategy and carrying it out requires time and investment. Personalisation is not just about scheduling social media posts or including a user’s name in an email. As a CMO, you should be aware of the benefits that AI and machine learning can bring to your business. Read more
Customers want personalised content that feels exclusively for them, instead of feeling like part of a vast database of online shoppers. In fact, by 2021, will be 2.14 billion of online buyers. Improving your relationship with them to drive growth and engagement to your e-Commerce should be a fundamental part of your strategy.
Artificial intelligence has generated an entirely new trend style, and from which eCommerce has taken advantage, predictive fashion. Two years ago, researchers at the University of California and Adobe outlined a way for AI to learn a person’s style. Later on, with this information, create computer-generated images of accessories that match that style.
The General Data Protection Regulation (GDPR) has interrupted the digital landscape by promoting new regulations on the manage and security of personal data. This new legislation affects data at all levels: collection, processing, storage and updating.
Exclusive offers, anticipated discounts, personal buyers: When the shopping experience is unique, always generate positive results. Personalisation of experiences is a practice implemented by most brands today, and this same approach is being replicated in the online world.
In an era of virtual reality and artificial intelligence, speaking of digital hugs don’t seem very out of trend. But, the concept has to be taken out the context of devices and digital realities and applied to the marketing, acquisition and retention strategy of your eCommerce website.
Personalisation is not only an integral part of any marketing strategy but also a key factor when it comes to brand advocates. The personalisation and recommendations must be related to the customer journey. When the brand knows its customers and speaks to them as individuals, they will return the favour by engaging with the brand and purchasing their products.
With Recommend, you can deliver targeted emails thanks to our smart segmentation. These emails can help you decrease cart abandonment rates; re-engage with old customers, and improve your relationship with current users. But how we do that?
Recommend uses AWS (Amazon Web Services) SES (Simple Email Service) to send transactional emails and marketing communications on your behalf.
Every email sent to your clients is an opportunity to engage with them. However, transactional emails seem to be the last resource from some companies. These communications are treated as the last-minute option to try to save a purchase, nothing further than that. Transactional emails are, actually, an excellent opportunity to add value and generate additional sales.
What is a transactional email?
It’s an automated message send it to a client after purchase. These emails contain information related to the transaction, delivery time and other details. The communication with the client is 1:1, while promotional emails are sent to a group of users.