Raise your hand if this has ever happened to you. You receive a text from your favourite restaurant offering a special meal deal… the day after your visit. It’s so frustrating; that text would have been very useful last night.
Leveraging location-based personalisation strategies is an excellent way to reach your customers when they’re ready to buy. In the third part of our six-part series on improving the customer experience through personalisation, we’ll explore how to use location-based tactics effectively.
Want to read a couple of mind-blowing statistics? Over 2.5 quintillion bytes of data are created every single day, and by 2020, researchers estimate 1.7MB of information will be created every second for every person on earth. All of this information has to go somewhere, preferably someplace where it can be analysed easily.
That’s where the data warehouse comes in but not all data warehouses are created equally; you need to follow data architecture best practices to get the analytics that meet your business needs well.
Companies now have the power to offer their customers a personalised experience but not all grab the opportunity – and some simply don’t know how.
Sitecore’s recent Partner Advisory Council (PAC) in Kyoto, Japan (which Enlighten CEO Damon Kelly recently attended) offered unique insights into how any business can activate a personalised customer experience.
AI and predictive analytics have been in the news a lot lately – so much so that these concepts are now in danger of becoming empty buzzwords. In reality, businesses can actually enjoy a competitive advantage by using AI and predictive analytics to stand out in the crowd.
When you hear the term “data warehouse,” you most likely think of a centralised repository of information. For a long time, that’s all a data warehouse was. However, times are changing, and so are data warehouses.