Personalization has become an integral part of the email list customer journey and is now a key driver of brand loyalty across all channels. Consumers are much more likely to buy from brands – both in-store and online – when offers are personalized. And it's not just your brand communication that needs to be more relevant: consumers are also interested in purchasing more personalized products and services and are willing to wait longer for them. You know more than ever about your customers.
But isn't one of your biggest challenges how to make sense of all that customer data so your marketing messages can be more targeted and relevant? In some ways, the proliferation of data and larger, more complex marketing stacks have made the email list goal of deeper personalization both easier to visualize and harder to implement. While most companies agree that personalization is critical to their current and future success, IT hurdles and legacy technologies are major obstacles to their personalization efforts. It's not just about greeting customers by name when they return to your website.
Consumers expect dynamic and relevant email list emails and ads on social media, web and mobile devices. As the internet of things (iot) continues to grow, the lines between digital marketing and offline marketing are blurring, and brands can now send personalized offers to customers at the physical point of sale (pos) via smartwatches, in-store kiosks and other connected devices. This is why AI-based systems have become essential to provide marketers with precision.